Search results
1 – 10 of over 1000Xiaobo Tang, Heshen Zhou and Shixuan Li
Predicting highly cited papers can enable an evaluation of the potential of papers and the early detection and determination of academic achievement value. However, most highly…
Abstract
Purpose
Predicting highly cited papers can enable an evaluation of the potential of papers and the early detection and determination of academic achievement value. However, most highly cited paper prediction studies consider early citation information, so predicting highly cited papers by publication is challenging. Therefore, the authors propose a method for predicting early highly cited papers based on their own features.
Design/methodology/approach
This research analyzed academic papers published in the Journal of the Association for Computing Machinery (ACM) from 2000 to 2013. Five types of features were extracted: paper features, journal features, author features, reference features and semantic features. Subsequently, the authors applied a deep neural network (DNN), support vector machine (SVM), decision tree (DT) and logistic regression (LGR), and they predicted highly cited papers 1–3 years after publication.
Findings
Experimental results showed that early highly cited academic papers are predictable when they are first published. The authors’ prediction models showed considerable performance. This study further confirmed that the features of references and authors play an important role in predicting early highly cited papers. In addition, the proportion of high-quality journal references has a more significant impact on prediction.
Originality/value
Based on the available information at the time of publication, this study proposed an effective early highly cited paper prediction model. This study facilitates the early discovery and realization of the value of scientific and technological achievements.
Details
Keywords
Haotian Hu, Dongbo Wang and Sanhong Deng
The citation counts are an important indicator of scholarly impact. The purpose of this paper is to explore the correlation between citations of scientific articles and writing…
Abstract
Purpose
The citation counts are an important indicator of scholarly impact. The purpose of this paper is to explore the correlation between citations of scientific articles and writing styles of abstracts in papers and capture the characteristics of highly cited papers' abstracts.
Design/methodology/approach
This research selected 10,000 highly cited papers and 10,000 zero-cited papers from the WOS (2008-2017) database. The Coh-Metrix 3.0 textual cohesion analysis tool was used to quantify the 108 language features of highly cited and zero-cited paper abstracts. The differences of the indicators with significant differences were analyzed from four aspects: vocabulary, sentence, syntax and readability.
Findings
The abstracts of highly cited papers contain more complex and professional words, more adjectives, adverbs, conjunctions and personal pronouns, but fewer nouns and verbs. The sentences in the abstracts of highly cited papers are more complex and the sentence length is relatively longer. The syntactic structure in abstracts of highly cited papers is relatively more complex and syntactic similarities between sentences are fewer. Highly cited papers' abstracts are less readable than zero-cited papers' abstracts.
Originality/value
This study analyses the differences between the abstracts of highly cited and those of zero-cited papers, reveals the common external and deep semantic features of highly cited papers in abstract writing styles, provide suggestions for researchers on abstract writing. These findings can help increase the scientific impact of articles and improve the review efficiency as well as the researchers' abstract writing skills.
Details
Keywords
Qiuhong Chen, Ning Geng and Kan Zhu
The purpose of this paper is to reveal the distributional characteristics and evolutional patterns in source periodicals, topics, authors, funding, and institutes of research…
Abstract
Purpose
The purpose of this paper is to reveal the distributional characteristics and evolutional patterns in source periodicals, topics, authors, funding, and institutes of research papers in Chinese Agricultural Economics so as to understand the current situations and developmental tendency of Chinese agricultural economics research over the past decade.
Design/methodology/approach
Using the citation analysis method, this paper analyzed the distributional characteristics and evolution of source periodicals, fields, authors and topics of 2,203 highly cited journal papers from the database of China National Knowledge Infrastructure (CNKI) and 189 cited journal papers from database of Social Sciences Citation Index (SSCI) in agricultural economics first-authored by Chinese scholars from 2006 to 2015.
Findings
First, over the past decade, agricultural economics research in China has seen a rapid development. Specially, 103 scholars and 42 institutes have played key roles in the development, and 12 Chinese periodicals and 3 international journals have been the most influential outlets. Second, the coverage of the topics in Chinese agricultural economics research is broad and has expanded over the past decade. The rural land issue has been the most popular topic, while the issues regarding rural institutional arrangements and industrialization in rural areas have been explored extensively. However, issues in other fields, such as agricultural markets and trade, rural labor, food safety, etc. have to be further studied. Third, the improvements of economic theory and quantitative analytic techniques, the supports from research funding, and an increase in the collaboration between Chinese scholars and those from other countries have made great contribution to the rapid development of Chinese agricultural economics research over the past decade.
Originality/value
This paper is an original work that identifies the most influential journal papers including highly cited journal papers from CNKI and cited journal papers from SSCI, using citation frequency and standard Essential Science Indicators method. This is a contribution relative to the methods used by previous studies, which did not account for frequency of citation of a paper. Moreover, this study is based on data from two databases, CNKI and SSCI, suggesting that the coverage of sample papers is broader compared to those of previous studies.
Details
Keywords
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. One can…
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
Keywords
H. Stephen McMinn and Kathleen Fleming
This paper seeks to investigate the use of engineering conference papers by examining where the papers presented at the Stapp Car Crash Conference from 1980‐2005 were subsequently…
Abstract
Purpose
This paper seeks to investigate the use of engineering conference papers by examining where the papers presented at the Stapp Car Crash Conference from 1980‐2005 were subsequently cited. Also, to examine whether the references were made to the conference paper or to the individual, the SAE Technical Paper, the second publication method. It also aims to study whether the citations were made to the lead author or secondary authors.
Design/methodology/approach
The individual papers were searched in Science Citation Index on the Web of Science platform using the “Cited author” search and the appropriate work(s) were selected using the “Cited work” information. The number of citations to each paper was recorded and the bibliographic information from the citing articles for the “top cited” articles were retrieved and examined to determine the subject focus of the citing journals.
Findings
Almost two‐thirds of the papers from the Stapp Car Crash Conference were cited at least once, mirroring that of engineering journal articles. These citations appear in journals representing a wide variety of disciplines besides engineering including journals covering “clinical neurology”, “orthopedics”, “rehabilitation” and “surgery”. The majority of citations (92 per cent) were found to be to the lead author and approximately 85 per cent were cited as papers within the conference proceedings with the remaining papers cited as individual technical papers.
Originality/value
The results on the impact and use of engineering conference papers, especially the results in terms of author and material type, will provide valuable insight into this literature, providing librarians and researchers with a better understanding of their use in the advancement of research and scholarship.
Details
Keywords
Zhang Jie, Su Xinning and Deng Sanhong
This paper is written as an attempt to employ the Chinese Social Science Citation Index (CSSCI) in the evaluation of Chinese humanities and social science research.
Abstract
Purpose
This paper is written as an attempt to employ the Chinese Social Science Citation Index (CSSCI) in the evaluation of Chinese humanities and social science research.
Design/methodology/approach
This paper uses statistics in the CSSCI (2000‐2004) to analyze the academic impact of researchers, papers and works, institutions and regions on Chinese humanities and social science research.
Findings
The authors identify 100 highly cited people, 50 highly cited papers, 50 highly cited works, 20 highly productive institutions and 20 highly cited institutions. Also provided is some regional information about Chinese humanities and social science research.
Originality/value
It is hoped that the CSSCI, as well as the analysis and evaluation based on it, will give researchers a better understanding of Chinese humanities and social science research.
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 compare…
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
Keywords
Heidar Mokhtari, Sana Barkhan, Davoud Haseli and Mohammad Karim Saberi
As a pioneering and influential journal in the field of library and information science (LIS), the Journal of Documentation (JDoc) needs to be evaluated from a bibliometric…
Abstract
Purpose
As a pioneering and influential journal in the field of library and information science (LIS), the Journal of Documentation (JDoc) needs to be evaluated from a bibliometric perspective. This study aimed at conducting a bibliometric overview and visualization of the scientific output of JDoc from its inception in 1945–2018.
Design/methodology/approach
In this bibliometric study, 2056 papers published in JDoc were analyzed. All needed data were extracted from Scopus in 9 July 2019 in CSV format. Bibliometric analyses were done in Microsoft Excel. Visualization was done by Vosviewer software and applying techniques such as co-citation, co-authorship and co-occurrence. As a limited altmetric study, JDoc highly mentioned papers and the rate of their presence in social media were extracted from Altmetric LLP, too.
Findings
There was an increasing trend in published papers and received citations. Highly cited and most influential authors in JDoc are well-known in the field. However, the contributions of developing countries and their affiliated institutions to the journal were relatively low. This is true in case of author, country and institute co-authorship patterns. Highly frequent keywords and keyword co-occurrence patterns showed that the journal considered most topics related to LIS, including newly emerged ones. The authors and sources (generally journals) cited by JDoc are all prolific and influential ones.
Originality/value
The results of this study can be beneficial to JDoc editorial team for decision making on its further development as well as helpful for researchers and practitioners interesting in LIS field to have better contact with and contributions to the journal.
Details
Keywords
Mohammad Karim Saberi and Faezeh Ekhtiyari
The purpose of this paper is to investigate the usage, captures, mentions, social media and citations of highly cited papers of Library and information science (LIS).
Abstract
Purpose
The purpose of this paper is to investigate the usage, captures, mentions, social media and citations of highly cited papers of Library and information science (LIS).
Design/methodology/approach
This study is quantitative research that was conducted using scientometrics and altmetrics indicators. The research sample consists of LIS classic papers. The papers contain highly cited papers of LIS that are introduced by Google Scholar. The research data have been gathered from Google Scholar, Scopus and Plum Analytics Categories. The data analysis has been done by Excel and SPSS applications.
Findings
The data indicate that among the highly cited articles of LIS, the highest score regarding the usage, captures, mentions and social media and the most abundance of citations belong to “Citation advantage of open access articles” and “Usage patterns of collaborative tagging systems.” Based on the results of Spearman statistical tests, there is a positive significant correlation between Google Scholar Citations and all studied indicators. However, only the correlation between Google Scholar Citations with capture metrics (p-value = 0.047) and citation metrics (p-value = 0.0001) was statistically significant.
Originality/value
Altmetrics indicators can be used as complement traditional indicators of Scientometrics to study the impact of papers. Therefore, the Altmetrics knowledge of LIS researchers and experts and practicing new studies in this field will be very important.
Details
Keywords
Alireza Noruzi and Mohammadhiwa Abdekhoda
This purpose of this study is to examine research performance of Iraqi-Kurdistan universities, using the number of papers appearing in journals and proceedings, and the number of…
Abstract
Purpose
This purpose of this study is to examine research performance of Iraqi-Kurdistan universities, using the number of papers appearing in journals and proceedings, and the number of citations received by those papers as covered by Scopus, 1970-2012. This study also identifies subject coverage (domain/field) of publications and determines the preference of research communication channel within the research community?
Design/methodology/approach
A total of 459 papers published by Iraqi-Kurdistan universities and indexed by Scopus during the given time period were considered. The source items (i.e. records of publications by the faculty members of the Iraqi-Kurdistan universities) were all the documents published in international journals and proceedings indexed by Scopus (an Elsevier bibliographic database) from the time period ranging from 1970 to 2012. All papers having an authorship or a co-authorship associated with the Iraqi-Kurdistan universities were included and the number of citations received by them was counted for the period.
Findings
The study found that major journals used by Iraqi-Kurdistan universities were Eastern Mediterranean Health Journal, Journal of Chinese Clinical Medicine, Asian Journal of Chemistry, Hemoglobin and Journal of Applied Sciences Research. Additionally, three older institutions (Salahaddin University-Hawler, University of Sulaimani and University of Duhok) were the most productive universities. Moreover, the study revealed that 237 of 459 (52 per cent) of publications have international collaborations. It is further evident that among the 459 publications, 211 (40 per cent) have been cited 1,020 times; while 248 (60 per cent) of the papers have not been cited even once, so about 60 per cent of the papers were invisible to world science during the study period. This study also noted that the 25 highly cited papers were cited 484 times, representing 47 per cent of all the citations (484 of 1,020). This indicated a concentration effect, whereby a relatively small number of papers earn most of the citations and research impact generated by the faculty members of Iraqi-Kurdistan universities.
Originality/value
This is the first scientometric research to analyse Iraqi-Kurdistan universities’ scientific productivity.
Details