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Synergy indicators and social network analysis (SNA), as practical tools, provide the possibility of explaining the pattern of scientific collaboration and visualization of network relations. Recognition of scientific capacities is the basis of synergy. The present study aims to measure and discover the synergistic networks of COVID-19’s top papers at the level of co-authorship, countries, journals, bibliographic couples and titles.

The synergy indicator, co-authorship co-citation network analysis methods were applied. The research population comprises COVID-19’s top papers indexed in Essential Science Indicator and Web of Science Core Collection 2020 and 2021. Excel 2016, UCINET 6.528.0.0 2017, NetDraw, Ravar Matrix, VOSviewer version 1.6.14 and Python 3.9.5 were applied to analyze the data and visualize the networks.

The findings indicate that considering the three possible possibilities for authors, countries and journals, more redundancy and information are created and potential for further cooperation is observed. The synergy of scientific collaboration has revealed that “Wang, Y,” “USA” and “Science of the Total Environment” have the most effective capabilities and results. “Guan (2020b)” and “Zhou (2020)” are bibliographic couplings that have received the most citations. The keywords “CORONAVIRUS DISEASE 2019 (COVID-19)” were the most frequent in article titles.

In a circumstance that the world is suffering from a COVID-19 pandemic and all scientists are conducting various researches to discover vaccines, medicines and new treatment methods, scientometric studies, and analysis of social networks of COVID-19 publications to be able to specify the synergy rate and the scientific collaboration networks, are not only innovative and original but also of great importance and priority; SNA tools along with the synergy indicator is capable of visualizing the complicated and multifaceted pattern of scientific collaboration in COVID-19. As a result, analyses can help identify existing capacities and define a new space for using COVID-19 researchers’ capabilities.

This paper takes the current COVID-19 pandemic raging around the world as a realistic background and uses the informal scientific communication mode in social media as the theoretical basis. It aims to explore the characteristics and rules of scientific communication in social media under emergency events, grasp the potential and risks of scientific communication in social media in special times and provide a perspective of academic communication for the scientific response.

The authors select the enumeration data of the early COVID-19 theme papers spread on social media networks as the research object, apply descriptive statistical analysis to the basic statistical distribution of variables and use factor analysis and visualization methods to explore the law and characteristics of the spread of scientific papers on social media platforms.

It was found that users of the COVID-19 paper are mainly in North America, Europe and South America, followed by those in East Asia, Southeast Asia and Oceania. The users are mainly public figures, doctors and other practitioners, science communicators and scientists. The process of social media communication reflects three ways of knowledge construction, social interaction and academic communication, and there are three ways of communication law and changing trend of cross transition and integration.

This study observes the function and role of science communication in social media in a special period from a unique perspective of academic communication, so as to promote academic means to fight against the epidemic.

The purpose of this article is to describe a proposition for the evaluation of citations of scientific papers, which could serve as a supplement to the existing Rule Book of the Ministry of the Republic of Serbia, which is used in the procedure of electing candidates for particular academic and research titles. The evaluation and quantitative presentation of the results and evaluation of citations were carried out on data taken from the database of the Current Research Information System of the University of Novi Sad (CRIS UNS), which is harmonized with the Rule Book of the Ministry with respect to the evaluation of published scientific results of researchers.

There are different criteria to evaluate the quality of scientific papers based on their citations. The pertinent parameters can be the total number of citations, the number of citations in a defined time period and by assigning the appropriate weighting values to the citations. This work proposes a procedure of assigning the citation weighting values based on the evaluation of the scientific results in which the citation appeared according to the Rule Book in the Republic of Serbia. Based on this, the authors introduced the impact factor of researchers as the ratio of the number of points of the evaluated citations and the number of points of the evaluated papers of the researcher.

Results showed that the research information system CRIS UNS can be extended to the evaluation of citations for a single researcher, groups of researchers and institutions.

The proposed solution enables the evaluation of citations in the process of election and promotion of academic staff. In this way, there is a means for measuring the scientific influence of a researcher in the relevant scientific area.

The evaluation of citations may be included in the national strategies of scientific development, funding and evaluation of research projects; for promotions of academic staff at the universities and other academic institutions; and ranking of researchers and research organizations.

The main idea presented in the paper is the definition of a rule book (or several rule books) for the evaluation of citations. Based on the evaluation of citations, the authors proposed the term “the impact factor of researcher”.

The purpose of this paper is to analyze the bibliographic references contained in the scientific papers (articles and technical notes) published from 1985 to 2005 in Zootecnia Tropical (ZT), a scientific journal.

A retrospective descriptive study is conducted using one‐dimensional bibliometric indicators such as: output, bibliographic density, institutional affiliation, recentness of the documents cited, document typology, self‐citations and scientific collaboration. Univariate descriptive analysis is used to study the indicators.

A total of 349 scientific papers (300 articles and 49 technical notes) are reviewed; output ranged from a maximum of 34 papers in 2001 to a minimum of four in 1990, with a mean of 15 papers per volume. The papers analyzed contain a total of 5,651 bibliographic references, with an average of 19 ± 9 references per paper; the largest number of references (19 ± 33) are found in the articles and the smallest (10.5 ± 13) in the notes. Venezuelan institutions account for 89 per cent of the papers and international institutions for the remain in 11 per cent; of the Venezuelan institutions, most (62 per cent) are National Institute of Agricultural Research (INIA) bodies and the rest universities and other organizations, especially the Universidad Central de Venezuela (UCV) and Universidad de Oriente (UDO). Universities are also among the most frequent international contributors, most prominently Marianga State University in Brazil and Tucumán National University in Argentina. Around 60 per cent of the references were more than ten years old when they were cited; 21 per cent were between five and ten years old and 19 per cent less than five years old. Journal articles, with 57 per cent, are the document type most frequently cited, followed by books, with 23 per cent; the rest consisted in postgraduate theses (3 per cent), undergraduate theses (2 per cent) and congress, conference and seminar proceedings (12 per cent). The self‐citation or endogamy rate in the journal is 4 per cent. Over half (53 per cent) of the papers are written by authors with the same affiliation. Inter‐institutional papers account for the remaining 47 per cent, with 34 per cent involving national collaboration, particularly between the INIA and the UCV; international co‐authorship comes to 13 per cent, primarily involving Brazilian and Argentine universities.

This paper analyzes the use of information in the Venezuelan scientific community from the vantage of a specific journal, ZT. These studies constitute useful and objective tools for evaluating scientific activity.

Scientific collaboration is becoming a common pattern in the social organization of knowledge production. The paper tries to figure out the relationship between scientific collaboration team size and scientific output.

Based on ESI database from year 2009–2019, the paper describes changes of collaboration team size from one author to more than 10 authors in 22 disciplines. Kernel density estimation and multidimensional kernel density estimation method are used to calculate optimal collaboration team size and appropriate collaboration team size in 22 disciplines. As bandwidth is one of the major issues in construction of kernel density estimation, the paper uses five different algorithms to calculate bandwidth. The method with the lowest mean absolute percentage error is chosen. Robustness test is conducted based on different sets of data.

The results show that scientific collaboration becomes more widely and deeply. As time goes by, collaboration team size is becoming larger and larger. Natural science disciplines have larger collaboration team size and faster growth rate than social science disciplines. Considering both qualitative and quantitative measures, the paper proves the universality of optimal and appropriate scientific collaboration team size among 22 disciplines and calculates the specific number.

The paper tries to investigate the law of scientific collaboration team size variation and provide a full picture of evolution of collaboration team size among 22 disciplines in 10 years. The paper first applies distribution method to figure out the relationship between scientific collaboration team size and scientific output and provides optimal collaboration team size and appropriate collaboration team size.

Problem-solving” is the most crucial key insight of scientific research. This study focuses on constructing the “problem-solving” knowledge graph of scientific domains by extracting four entity relation types: problem-solving, problem hierarchy, solution hierarchy and association.

This paper presents a low-cost method for identifying these relationships in scientific papers based on word analogy. The problem-solving and hierarchical relations are represented as offset vectors of the head and tail entities and then classified by referencing a small set of predefined entity relations.

This paper presents an experiment with artificial intelligence papers from the Web of Science and achieved good performance. The F1 scores of entity relation types problem hierarchy, problem-solving and solution hierarchy, which were 0.823, 0.815 and 0.748, respectively. This paper used computer vision as an example to demonstrate the application of the extracted relations in constructing domain knowledge graphs and revealing historical research trends.

This paper uses an approach that is highly efficient and has a good generalization ability. Instead of relying on a large-scale manually annotated corpus, it only requires a small set of entity relations that can be easily extracted from external knowledge resources.

This paper aims to present a tool for helping the mindset organization of graduate students and early career researchers in the process of scientific papers writing. The canvas roadmap is proposed and summarizes the fundamental steps and main features of an academic paper in the business management field.

The adopted methodological procedures followed action research and focus groups precepts. Validation was applied in longitudinal and transversal procedures, with two early career researchers and with three groups of graduate students from different institutions. The validation procedures allowed the identification of 15 main features that were structured in a canvas format.

The conception of the canvas roadmap, influenced by the business model canvas, is a tool for easing researchers’ mindset when preparing a manuscript. Each of 15 features are explored according to main identified components along the paper writing process. Advices for early researchers are addressed, and key characteristics are presented. Further readings in academic writing literature are suggested as along with practical tips for developing the manuscript.

Specifically, the canvas roadmap proposal intends to guide Iberoamerican/Latin American scholars to achieve their goals of publishing in top tier journals, relevant to their academic careers, and to improve research outcomes through a structured guidance for crafting scientific papers.

As main contribution and novelty, this paper intends to provide a canvas roadmap by identifying the main sections a scientific paper in the Business Management field must follow, and how to address specific features when writing these sections. This tool was conceived due the Business Management field needs a faster-to-address and easy-to-use tool and that summarizes main features of academic papers.

Este artículo tiene como objetivo presentar una herramienta para ayudar a la organización de la mentalidad de los estudiantes de postgrados y los investigadores de carrera temprana en el proceso de redacción de artículos científicos. El mapa canvas es propuesto y resume los pasos fundamentales y las principales características de un artículo académico en el campo de la Gestión Empresarial.

Los procedimientos metodológicos adoptados siguieron los preceptos de la investigación-acción y los grupos focales. La validación se aplicó en procedimientos longitudinales y transversales, con dos investigadores en carrera inicial y con tres grupos de estudiantes de postgrados de diferentes instituciones. Los procedimientos de validación permitieron identificar quince características principales que se estructuraron en formato canvas.

La concepción del mapa canvas, influenciada por el modelo canvas para los modelos de negocios, es una herramienta para facilitar la mentalidad de los investigadores al preparar un manuscrito. Cada una de las quince características se explora de acuerdo con los principales componentes identificados a lo largo del proceso de escritura de los manuscritos. Se abordan consejos para los investigadores tempranos y se presentan las características clave. Se sugieren lecturas adicionales de literatura académica, así como consejos prácticos para desarrollar el manuscrito.

Como principal aporte y novedad, este artículo pretende proporcionar un mapa canvas identificando las principales secciones que debe seguir un artículo científico en el campo de la Gestión Empresarial y cómo abordar las características específicas al escribir estas secciones. Esta herramienta fue concebida debido al campo de la Gestión Empresarial necesitar una herramienta más rápida de abordar y fácil de usar y que resume las principales características de los artículos académicos.

Específicamente, la propuesta del mapa canvas pretende orientar a los académicos iberoamericanos/latinoamericanos para lograr sus objetivos de publicación en revistas de primer nivel, relevantes para sus carreras académicas, y mejorar los resultados de la investigación a través de una guía estructurada para la elaboración de artículos científicos.

Este artigo tem como objetivo apresentar uma ferramenta que ajude a organizar a mentalidade de alunos de pós-graduação e pesquisadores em início de carreira no processo de redação de artigos científicos. O mapa canvas é proposto e sintetiza as etapas fundamentais e as principais características de um artigo acadêmico da área de Administração e Negócios.

Os procedimentos metodológicos adotados seguiram os preceitos da pesquisa-ação e dos grupos focais. A validação foi aplicada em procedimentos longitudinais e transversais, com dois pesquisadores em início de carreira e com três turmas de alunos de pós-graduação de instituições diferentes. Os procedimentos de validação permitiram identificar quinze características principais que foram estruturadas em formato canvas.

A concepção do mapa canvas, influenciada pelo modelo de negócios canvas, é uma ferramenta para facilitar a mentalidade dos pesquisadores na preparação de um artigo. Cada uma das quinze características é explorada de acordo com os principais componentes identificados ao longo do processo de redação dos artigos. Abordam-se dicas para pesquisadores iniciantes e apresentam-se características principais. Sugere-se leitura adicional da literatura acadêmica, bem como dicas práticas para o desenvolvimento do artigo.

Como principal contribuição e novidade, este artigo visa fornecer um mapa canvas identificando as principais seções que um artigo científico deve seguir na área de Administração e Negócios e como abordar as características específicas na redação destas seções. Essa ferramenta foi concebida devido à área de Administração e Negócios necessitar de uma ferramenta de abordagem mais rápida e fácil de usar e que sintetiza as principais características dos artigos acadêmicos.

Especificamente, a proposta do mapa canvas visa orientar os acadêmicos ibero-americanos/latino-americanos a atingirem seus objetivos de publicação em periódicos de alto nível, relevantes para suas carreiras acadêmicas, e a melhorar os resultados da pesquisa por meio de um guia estruturado para a preparação de artigos científicos.

The purpose of this paper is to systematically identify the key intellectual developments of the lean supply chain management (LSCM) field from its very first beginning by analyzing the publications that have been highly cited.

The citation classics method has been used to examine the origins and evolution of the research field. In total, 74 articles have been identified as having the highest impact on LSCM research published from its beginnings to the present day. Key aspects and links among the scientific contributions are studied by descriptive, bibliometric, network and content analysis.

Publication and citation trends, methodologies used, top journals, most influential authors, institutions and countries, collaboration patterns and evolution of the most used keywords are some of the aspects studied. Three main research areas are identified: LSCM foundations and implementation, lean-agile supply chain and performance assessment and the role of sustainability, which offers a holistic view of the field and enables the identification of potential avenues for future research susceptible to contribute to advancing the knowledge on LSCM.

This study provides a useful insight into the development of the LSCM field and can help researchers as it explores the state-of-the-art of LSCM by identifying the most relevant contributions in the area, the main research lines addressed by the scientific community in this topic and opportunities for further research on LSCM for years to come.

This paper presents a review of the state of the art on the application of blockchain and smart contracts to the peer-review process of scientific papers. The paper seeks to analyse how the main characteristics of the existing blockchain solutions in this field to detect opportunities for the improvement of future applications.

A systematic review of the literature on the subject was carried out in three databases recognized by the research community (IEEE Xplore, Scopus and Web of Science) and the Frontiers in Blockchain journal. A total of 1,967 articles were initially found, and after the exclusion process, the 26 remaining articles were classified according to the following dimensions: System Type, Open Access, Review Type, Reviewer Incentive, Token Economy, Blockchain Access, Blockchain Identification, Blockchain Used, Paper Storage, Anonymity and Maturity of the solution.

Results show that the solutions are normally concerned on offering incentives to the reviewers' work (often monetary). Other common general preferences among the solutions are the adoption of open reviews, the use of Ethereum, the implementation of publishing ecosystems and the use of InterPlanetary File System to the storage of the papers.

There are currently no studies covering the main aspects of blockchain solutions in the field of scientific peer review. The present study provides an overall review of the topic, summarizing important information on the current research and helping new adopters to develop solutions grounded on the existing literature.

Innovation plays a pivotal role in a national economy and in the research and development of science and technology. Because the elements, capability and development direction of innovation in various countries are dissimilar, national innovative capacity also varies by country. However, previous studies have predominantly measured national innovative capacity through empirical studies by using a single index of innovation output, ignoring that the forms of innovation are heterogeneous across countries and failing to examine the influence exerted by various innovation models on economic development. Thus, the purpose of this study is to fill this gap by using scientific driving force and technological driving force to present the influence of national innovative capacities on economic development.

This study used regression models to test the influence of different national innovative capacities (i.e. scientific and technological driving forces) on economic development and stability.

Using the data of 60 countries, this study determined that both scientific and technological driving forces influenced economic development; specifically, scientific driving force affected economic development through technological driving force. Moreover, both research paper quality and patent quality positively influenced economic stability, but patent quality was the mediator.

This study examined scientific output from both quantitative and qualitative perspectives to determine their influence on economic growth and particularly on economic stability, which lacks dedicated studies. This study strives to bridge this gap in the literature by asserting, from the concept of economic resilience, that high-quality science and technology can strengthen the stability of a country’s economy.