Search results

1 – 10 of over 287000
Click here to view access options
Article
Publication date: 8 August 2016

Cheng-Che Shen, Ya-Han Hu, Wei-Chao Lin, Chih-Fong Tsai and Shih-Wen Ke

The purpose of this paper is to focus on examining the research impact of papers written with and without funding. Specifically, the citation analysis method is used to…

Abstract

Purpose

The purpose of this paper is to focus on examining the research impact of papers written with and without funding. Specifically, the citation analysis method is used to compare the general and funded papers published in two leading international conferences, which are ACM SIGIR and ACM SIGKDD.

Design/methodology/approach

The authors investigate the number of general and funded papers to see whether the number of funded papers is larger than the number of general papers. In addition, the total citations and the number of highly cited papers with and without funding are also compared.

Findings

The analysis results of ACM SIGIR papers show that in most cases the number of funded papers is larger than the number of general papers. Moreover, the total captions, the average number of citations per paper, and the number of highly cited papers all reveal the superiority of funded papers over general papers. However, the findings are somewhat different for the ACM SIGKDD papers. This may be because ACM SIGIR began much earlier than ACM SIGKDD, which relates to the maturity of the research problems addressed in these two conferences.

Originality/value

The value of this paper is the first attempt at examining the research impact of general and funded research papers by the citation analysis method. The research impact of other research areas can be further investigated by other analysis methods.

Details

Online Information Review, vol. 40 no. 4
Type: Research Article
ISSN: 1468-4527

Keywords

Click here to view access options
Article
Publication date: 9 September 2014

Shih-Wen Ke, Wei-Chao Lin, Chih-Fong Tsai and Ya-Han Hu

Conference publications are an important aspect of research activities. There are generally both oral presentations and poster sessions at large international conferences…

Abstract

Purpose

Conference publications are an important aspect of research activities. There are generally both oral presentations and poster sessions at large international conferences. One can hypothesise that, for the same conferences, the papers presented in oral sessions should have a higher research impact than the papers presented in poster sessions. However, there has been no related study examining the validity of this hypothesis. In other words, the difference of research impact between papers presented orally or during poster sessions has not been discussed in literature. Therefore, the purpose of this paper is to conduct a citation analysis to compare the research impact of papers presented in oral and poster sessions.

Design/methodology/approach

In this paper, data from three leading conferences in the field of computer vision are examined, namely CVPR (2011 and 2012), ICCV (2011) and ECCV (2012). Several types of citation-related statistics are collected, including the number of highly cited papers (i.e. high number of citations) presented in oral and poster sessions, the total citations of both types of papers, the average citations of oral and poster papers, and the average citations of each frequently cited paper of both types.

Findings

There are three main findings. First, a larger proportion of highly cited papers are from oral sessions than poster sessions. Second, the average number of citations per paper is larger for those presented in oral sessions than poster sessions. Third, the average number of citations for highly cited papers presented in oral sessions is not necessarily greater than for the ones presented in poster sessions.

Originality/value

The originality of this paper is that it is the first attempt to examine the differences of citation impacts of conference papers presented in oral and poster sessions. The findings of this study will allow future bibliometrics research to further explore this related issue for longer periods and different fields.

Details

Online Information Review, vol. 38 no. 6
Type: Research Article
ISSN: 1468-4527

Keywords

Click here to view access options
Article
Publication date: 10 April 2018

Antigoni Papadimitriou

The purpose of this paper is to review and explore the primary characteristics of the best papers, which have been selected by the Toulon-Verona Conference (TVC…

Abstract

Purpose

The purpose of this paper is to review and explore the primary characteristics of the best papers, which have been selected by the Toulon-Verona Conference (TVC) Excellence in Services scientific committee for the period 2008-2016.

Design/methodology/approach

The study includes a review of the best papers (n = 51) selected by the TVC’s scientific committee from 2008 to 2016 and obtained through the TVC’s archives. The primary highlights of each paper include number of authors, authorship profile (i.e. lead author affiliation, gender, and geographic location), co-authors’ geographic locations, classification of the papers, research topics, varieties of research methods used, number of electronic downloads (as of June 2017), number of citations, and subject keywords. Coding sheet developed to ensure standardization, consistency and to ensure the relevant data were collected for the content analysis. Mixed methods analysis (analyze quantitative data qualitative and and vice versa) was used to provide descriptive statistics.

Findings

In total, 51 best papers have been selected by the TVC scientific committee and reflected 145 authors. Lead authors were from a total of 50 HEIs worldwide and one consultant (private sector). Six papers were self-authored while the 45 were multi-authored. The majority of the papers written by Italian authors (58.8 percent); followed by France, Greece, and Sweden (5.9 percent each); Australia, Portugal, Spain, and UK (4 percent each); Austria, Norway, Slovenia, and Vietnam (1.9 percent each). In total, 37 papers were classified as a research paper, 10 case studies, and 4 theoretical.

Practical implications

The analysis for the first time define methodological trends for the TVC’s best papers and suggest possible future research topic and methodological approach for research in the management field.

Originality/value

The findings are unique for the TVC conference, for the TQM’s special issue, which provide practical implications for researchers and conference organizers and contribute to the literature of analyzing published papers.

Details

The TQM Journal, vol. 30 no. 5
Type: Research Article
ISSN: 1754-2731

Keywords

Click here to view access options
Article
Publication date: 20 July 2012

Lutz Bornmann and Leo Egghe

In editorial peer review systems of journals, one does not always accept the best papers. Due to different human perceptions, the evaluation of papers by peer review (for…

Downloads
1108

Abstract

Purpose

In editorial peer review systems of journals, one does not always accept the best papers. Due to different human perceptions, the evaluation of papers by peer review (for a journal) can be different from the impact that a paper has after its publication (measured by number of citations received) in this or another journal. This system (and corresponding problems) is similar to the information retrieval process in a documentary system. Also there, one retrieves not always the most relevant documents for a certain topic. This is so because the topic is described in the command language of the documentary system and this command does not always completely cover the “real topic” that one wants to describe. This paper aims to address this issue.

Design/methodology/approach

Based on this statement classical information retrieval evaluation techniques were applied to the evaluation of peer review systems. Basic in such an information retrieval evaluation are the notions of precision and recall and the precision‐recall‐curve. Such notions are introduced here for the evaluation of peer review systems.

Findings

The analogues of precision and recall are defined and their curve constructed based on peer review data from the journal Angewandte Chemie – International Edition and on citation impact data of accepted papers by this journal or rejected but published elsewhere papers. It is concluded that, due to the imperfect peer review process (based on human evaluation), if we want to publish a high amount of qualified papers (the ones we seek), several non‐qualified papers should also be accepted.

Originality/value

The authors conclude that, due to the imperfect peer review process (based on human evaluation), if we want to publish a high amount of qualified papers (the ones we seek), one will also accept several non‐qualified papers.

Details

Journal of Documentation, vol. 68 no. 4
Type: Research Article
ISSN: 0022-0418

Keywords

Click here to view access options
Article
Publication date: 1 May 1998

L.O. Aina and I.M. Mabawonku

A comparative analysis of the characteristics of rejected manuscripts submitted for publication to the African Journal of Library, Archives and Information Science and…

Downloads
276

Abstract

A comparative analysis of the characteristics of rejected manuscripts submitted for publication to the African Journal of Library, Archives and Information Science and manuscripts accepted for publication over a five year period was carried out. The study reveals that 145 manuscripts were rejected as opposed to eighty papers accepted for publication. The findings reveal that there were no remarkable differences with regards to status and affiliations between the authors of rejected and accepted papers. While information technology, archives, user studies, academic libraries and bibliometrics constituted the topics of papers mostly rejected, papers accepted were mainly in the areas of archives, information service, information technology and rural information. Most of the papers were rejected because they contributed nothing new to knowledge (65.5 per cent), used unreliable data (13.1 per cent) and lacked focus (13.1 per cent). Datedness of references was not used in rejecting papers because the editorial board policy is to update references of papers accepted for publication where necessary. The paper recommends the need for training institutions in Africa to strengthen the research and writing skills component of their curricula, as well as the regular scheduling of research and writing skills workshops by information organisations in the region.

Details

Journal of Documentation, vol. 54 no. 2
Type: Research Article
ISSN: 0022-0418

Keywords

Click here to view access options
Article
Publication date: 30 December 2021

Harsh M. Shah, Bhaskar B. Gardas, Vaibhav S. Narwane and Hitansh S. Mehta

This paper aims to conduct a systematic literature review of the research in the field of Artificial Intelligence (AI) and Big Data Analytics (BDA) in Supply Chain Risk…

Abstract

Purpose

This paper aims to conduct a systematic literature review of the research in the field of Artificial Intelligence (AI) and Big Data Analytics (BDA) in Supply Chain Risk Management (SCRM). Finally, future research directions in this field have been suggested.

Design/methodology/approach

The papers were searched using a set of keywords in the SCOPUS database. These papers were filtered using the Title abstract keywords principle. Further, more papers were found using the forward-backward referencing method. The finalized papers were then classified into eight categories.

Findings

The previous papers in AI and BDA in SCRM were studied. These papers emphasized various modelling and application techniques for AI and BDA in making the supply chain (SC) more resilient. It was found that more research has been done into conceptual modelling rather than real-life applications. It was seen that the use of AI-based techniques and structural equation modelling was prominent.

Practical implications

AI and BDA help build the risk profile, which will guide the decision-makers and risk managers make their decisions quickly and more effectively, reducing the risks on the SC and making it resilient. Other than this, they can predict the risks in disasters, epidemics and any further disruption. They also help select the suppliers and location of the various elements of the SC to reduce the lead times.

Originality/value

The paper suggests various future research directions that fellow researchers can explore. None of the previous research examined the role of BDA and AI in SCRM.

Click here to view access options
Article
Publication date: 18 January 2021

Martin Hoesli

The purpose of this paper is to analyze papers that have been published in the Journal of European Real Estate Research since its inception in 2008.

Abstract

Purpose

The purpose of this paper is to analyze papers that have been published in the Journal of European Real Estate Research since its inception in 2008.

Design/methodology/approach

The author analyzes papers published from 2008 to 2019 in the Journal of European Real Estate Research by authors’ country of affiliation, by country of study and by theme.

Findings

The Journal of European Real Estate Research publishes papers from scholars from an increasing number of countries, in particular in Central and Eastern Europe. Papers that provide a comparative analysis of countries constitute the largest category of contributions. The three most popular themes remain housing, valuation and investment/portfolio management. However, the dynamics of the three categories differ notably.

Originality/value

This paper provides for a clearer understanding of key dimensions of real estate research in Europe.

Details

Journal of European Real Estate Research , vol. 14 no. 2
Type: Research Article
ISSN: 1753-9269

Keywords

Click here to view access options
Article
Publication date: 18 November 2021

Zhidong Zang, Xiuxia Li and Ruixia Xie

To improve the deficiencies of the existing journal influencing evaluation indexes, which have single influencing factors and are greatly affected by the number of papers

Abstract

Purpose

To improve the deficiencies of the existing journal influencing evaluation indexes, which have single influencing factors and are greatly affected by the number of papers published, this paper proposes a new evaluation of the journal influence method based on the RA index.

Design/methodology/approach

In the metrics create, the paper introduces the RA index for evaluating the impact of authors and analyzing its feasibility in journal evaluation. Then the RA index is divided by the number of journal's published papers to obtain the RAQ index to evaluate journal impact. In the metrics analysis, the authors analyze the statistical characteristics of the RAQ index using statistical analysis, and t-test, Roc curve and PLS were used to analyze the relationship between the RAQ index and other indicators.

Findings

Empirical results show that the RAQ index can effectively identify high-quality journals and reduce the number of published papers on journal evaluation. The empirical results show that the RAQ index has higher stability and discrimination than the h-index and g-index. Compared with other indexes, the RAQ index has better evaluation effects and statistical characteristics.

Originality/value

The current study proposes journals' RAQ index, which integrates the influence of high-, low- and zero-cited papers. It solves the problem of the virtual high of the h-type index. The findings will contribute to the evaluation of journal influence by offering a new research idea that facilitates the fairness and rationality of journal evaluation.

Details

Performance Measurement and Metrics, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1467-8047

Keywords

Click here to view access options
Article
Publication date: 15 October 2021

Nosrat Riahinia, Farshid Danesh and Somayeh GhaviDel

Synergy indicators and social network analysis (SNA), as practical tools, provide the possibility of explaining the pattern of scientific collaboration and visualization…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Details

Library Hi Tech, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0737-8831

Keywords

Click here to view access options
Article
Publication date: 11 October 2021

Merve Engin, Sinan Sönmez and Öznur Özden

The purpose of this paper is to investigate the influences of coating colours and their contents on the fundamental properties of base papers and also evaluate these…

Abstract

Purpose

The purpose of this paper is to investigate the influences of coating colours and their contents on the fundamental properties of base papers and also evaluate these results in terms of mechanical and wood-free papers.

Design/methodology/approach

A design research approach has been based on the application of various coating colours and analysis of mechanical and optical tests results of the coated mechanical and wood-free base papers.

Findings

This study is confirmed that the coating colours can be easily applied to the surface of the papers. The experimental data have revealed that significant improvements exist in the values of tear resistance (strength), brightness and opacity of the mechanical base papers, especially by the application of the coating colours including kaolin pigment. The results show that mechanical papers can also be used in areas with high brightness expectations by applying coating colour.

Originality/value

The originality of this work is based on understanding and comparing the effects of applying similar coating formulations on mechanical and wood-free base papers.

Details

Pigment & Resin Technology, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0369-9420

Keywords

1 – 10 of over 287000