An empirical assessment and categorization of journals relevant to DSS research

This paper reports on an objective empirical study of the decision support system literature for the purpose of assessing journals relevant to DSS research efforts. Here, we provide DSS researchers and those who evaluate them an up-to-date picture of the forums available for scholarly discourse and research. We conducted a citation analysis of the Decision Support Systems journal for the years 1985–1993 to obtain a citation base containing over 7,500 citations. The citation base is then used to (1) examine citation trends for books, proceedings, and journals; (2) determine a relative ranking of journals based on total citations, and (3) organize journals into categories. Guidelines are provided for utilizing the categorization.     

A Citation Analysis of Influences on Collaborative Computing Research

Collaborative computing has emerged as a majorsubject of study within the field of businesscomputing. It is concerned with the use ofcomputers to facilitate or enable the work ofmultiple participants engaged in collaborativeventures. Researchers and educators canbenefit from an analysis that identifiesjournals with greatest impacts on developmentof the collaborative computing subject area. The benefits include an appreciation of the topoutlets for publishing and the leading sourcesfor monitoring development in collaborativecomputing research, plus the most importantreference discipline journals for findingsupport for these developments. This studyemploys a citation analysis methodology todetermine the journals that have had thegreatest influence on multiparticipant,collaborative computing research. Over 19,000citations from four base journals across an8-year period are collected and analyzed.     

Bibliometric analysis of Human Factors (1970-2000): a quantitative description of scientific impact

Bibliometric analyses use the citation history of scientific articles as data to measure scientific impact. This paper describes a bibliometric analysis of the 1682 papers and 2413 authors published in Human Factors from 1970 to 2000. The results show that Human Factors has substantial relative scientific influence, as measured by impact, immediacy, and half-life, exceeding the influence of comparable journals. Like other scientific disciplines, human factors research is a highly stratified activity. Most authors have published only one paper, and many papers are cited infrequently, if ever. A small number of authors account for a disproportionately large number of the papers published and citations received. However, the degree of stratification is not as extreme as in many other disciplines, possibly reflecting the diversity of the human factors discipline. A consistent trend of more authors per paper parallels a similar trend in other fields and may reflect the increasingly interdisciplinary nature of human factors research and a trend toward addressing human-technology interaction in more complex systems. Ten of the most influential papers from each of the last 3 decades illustrate trends in human factors research. Actual or potential applications of this research include considerations for the publication and distribution policy of Human Factors.     

Summarization of scientific documents by detecting common facts in citations

Reading scientific articles is more time-consuming than reading news because readers need to search and read many citations. This paper proposes a citation guided method for summarizing multiple scientific papers. A phenomenon we can observe is that citation sentences in one paragraph or section usually talk about a common fact, which is usually represented as a set of noun phrases co-occurring in citation texts and it is usually discussed from different aspects. We design a multi-document summarization system based on common fact detection. One challenge is that citations may not use the same terms to refer to a common fact. We thus use term association discovering algorithm to expand terms based on a large set of scientific article abstracts. Then, citations can be clustered based on common facts. The common fact is used as a salient term set to get relevant sentences from the corresponding cited articles to form a summary. Experiments show that our method outperforms three baseline methods by ROUGE metric.     

Thirty Years of the International Journal of Intelligent Systems: A Bibliometric Review

The International Journal of Intelligent Systems was created in 1986. Today, the journal is 30 years old. To celebrate this anniversary, this study develops a bibliometric review of all of the papers published in the journal between 1986 and 2015. The results are largely based on the Web of Science Core Collection, which classifies leading bibliographic material by using several indicators including total number of publications and citations, the h‐index, cites per paper, and citing articles. The work also uses the VOS viewer software for visualizing the main results through bibliographic coupling and co‐citation. The results show a general overview of leading trends that have influenced the journal in terms of highly cited papers, authors, journals, universities and countries.     

The Matthew Effect in citing the papers of Russian scientists published abroad

The scientificometric aspect of the “Matthews Effect,” i.e., the difference in the citations of the papers of Russian and foreign scientists published in the same publications, is studied. Publications in foreign journals on physics and chemistry are considered. The “Matthew Index,” which characterizes nonuniform distribution of citations over countries, is calculated. A conclusion on the poor “competitiveness” of Russian articles in chemistry and inadequate conformance of publications in physics to the world level is made.     

Research and trends in the field of e-learning from 2001 to 2005: A content analysis of cognitive studies in selected journals

This paper provided a content analysis of studies in the field of cognition in e-learning that were published in five Social Sciences Citation Index (SSCI) journals (i.e. Computers and Education, British Journal of Educational Technology, Innovations in Education and Teaching International, Educational Technology Research & Development, and Journal of Computer Assisted Learning) from 2001 to 2005. Among the 1027 articles published in these journals from 2001 to 2005, 444 articles were identified as being related to the topic of cognition in e-learning. These articles were cross analyzed by published years, journal, research topic, and citation count. Furthermore, 16 highly-cited articles across different topics were chosen for further analysis according to their research settings, participants, research design types, and research methods. It was found from the analysis of the 444 articles that “Instructional Approaches,” “Learning Environment,” and “Metacognition” were the three most popular research topics, but the analysis of the citation counts suggested that the studies related to “Instructional Approaches,” “Information Processing” and “Motivation” might have a greater impact on subsequent research. Although the use of questionnaires might still be the main method of gathering research data in e-learning cognitive studies, a clear trend was observed that more and more studies were utilizing learners’ log files or online messages as data sources for analysis. The results of the analysis provided insights for educators and researchers into research trends and patterns of cognition in e-learning.     

Citation-based journal rankings for expert system research

Abstract: Research into the development and impacts of expert systems has accumulated to a point where it may be said to constitute a distinct field of study. As such, the evolution, organisation and dissemination of expert system research are themselves topics for investigation. Here we focus on the dissemination aspect, providing objective rankings of journals that have had the greatest impacts on recent expert system research. Our study examines the citation patterns of all research published in five expert systems journals during the past five years. Over 14 000 citations to more than 800 journals are analysed under two kinds of ranking schemes. These are based on cumulative citation counts and normalised citation counts. The latter adjusts for the number of years a journal article has been available to be cited. The reported rankings will be of interest to all who want to know where scientific developments that influence expert system research are reported: those who conduct, support, evaluate and study expert system research.     

Dynamics of citation distribution

We study the citation dynamics of scientific publications over the years. We propose a simple cellular automaton model featuring a combination of two distinct mechanisms, i.e. the random assignment and the preferential attachment, to investigate the dynamics of journal citation. Different from most previous studies focusing on highly cited papers, we analyze the time evolution of the entire citation distribution. Empirical data can be well reproduced by numerical simulations. Within the linear regime of the Cited Half-Life, a steady accumulation of citations can be expected. Moreover, within this linear regime, the ratio between the above two mechanisms is a constant. Besides the average citation represented by the Impact Factor, such a constant ratio can also be a characteristic of the journal.     

A computer-aided bibliometric system to generate core article ranked lists in interdisciplinary subjects

Due to the tremendous increase and variations in serial publications, the impact of every peer-reviewed paper on different subjects is varying continually. Domain experts or researchers want to keep track of those latest and highly cited peer-reviewed papers; however they are finding it difficult to update or collect their subject core paper lists regularly and accurately. The evaluation of serial papers for generating and ranking core paper lists on different subjects becomes a very challenging task for scholars or librarians. Therefore, a computer-aided bibliometric system (CABS) was developed to generate a core article ranked list automatically. Four indicators - subject reference cited counts, subject total cited counts, subject reference period impact and subject reference cited history - were proposed to generate a subject core article ranking list. Seven different subjects including E-commerce, Data Mining, Supply Chain, Image Processing, Enterprise Resource Planning, Microarray and Expert Systems were used as samples. The turning point (TP) was proposed to determine the core article area in the paper citation analysis. The TP patterns observed were that all TPs had the same rate for four different subjects. The usage of TP patterns can also be used to verify the experimental results. This study provides experimental evidence to disprove three myths. Myth 1: the top papers on a subject (for instance, the top 10 papers) were all submitted to (S)SCI journals. Myth 2: the highly cited papers (cited counts >4) on interdisciplinary subjects were almost submitted to (S)SCI journals. Myth 3: the articles published in the top journals on a subject would be highly cited.     

Citation analysis and bibliometric research in the field of ergonomics

Given that journal impact factors now represent such a “hot” topic in the modern scientific world, it is essential that ergonomists remain fully cognizant of the citation‐based research that has been conducted in our field. This article reviews and examines bibliometric research in the ergonomics profession, ranging from seminal work on content analysis and citation indexing, to some of the latest research describing ergonomics journal lists and longitudinal impact factor trends. Overall, history has shown how citation‐based studies have become increasingly common in the ergonomics field during the past few decades, and, as we move through the 21st century, ergonomics journals continue to mature as a result. © 2010 Wiley Periodicals, Inc.     

An Internet measure of the value of citations

A new method for computing the value of citations is introduced and compared with the PageRank algorithm for author ranking. In our proposed approach, the value of each publication is expressed in CENTs (sCientific currENcy Tokens). The publication’s value is then divided by the number of citations made by that publication to yield a value for each citation. As citations are the acknowledgements of the work by authors other than oneself (indicating that it has been useful), self-citations count as zero in acknowledged citation value. Circular citations, a generalized type of self-citation, are considered to have a reduced acknowledged citation value. Finally, we propose a modification of the h-index to define it as the largest integer such that the i-th publication (on the list of publications sorted by their value in CENTs) is worth more than i CENTs. This new index, termed the i-index or i² in short, appears to be a more precise measure of the impact of publications and their authors’ productivity than the h-index.     

我国计算机科学发展态势文献计量分析

以Web of sciences、ESI（基本科学指标数据库）等数据库为统计分析源,对1996—2006年中国计算机科学的发展现状和发展态势从文献计量学的角度进行了统计分析,通过论文数量、被引频次、篇均被引频次和影响因子等项指标研究了计算机科学论文产出随时间的变化趋势、主要领域的发展状况及刊登论文期刊的影响力。     

An analysis of the most cited articles in software engineering journals - 2000

Citations and related work are crucial in any research to position the work and to build on the work of others. A high citation count is an indication of the influence of specific articles. The importance of citations means that it is interesting to analyze which articles are cited the most. Such an analysis has been conducted using the ISI Web of Science to identify the most cited software engineering journal articles published in 2000. The objective of the analysis is to identify and list the articles that have influenced others the most as measured by citation count. An understanding of which research is viewed by the research community as most valuable to build upon may provide valuable insights into what research to focus on now and in the future. Based on the analysis, a list of the 20 most cited articles is presented here. The intention of the analysis is twofold. First, to identify the most cited articles, and second, to invite the authors of the most cited articles in 2000 to contribute to a special issue of Information and Software Technology. Five authors have accepted the invitation and their articles appear in this special issue. Moreover, an analysis of the most cited software engineering journal articles in the last 20 years is presented. The presentation includes both the most cited articles in absolute numbers and the most cited articles when looking at the average number of citations per year. The article describing the SPIN model checker by G.J. Holzmann published in 1997 is first on both these lists.     

Invited Viewpoint: How well does the Information Systems discipline fare in the Financial Times’ top 50 Journal list?

This paper investigates the performance of the Information Systems (IS) discipline as reflected in the scholarly impact of the three IS journals that are included in the Financial Times’ top 50 journals (FT50), the four IS journals in the top tiers of the Chartered Association of Business Schools’ Academic Journal Guide (CABS AJG), and the eight journals that comprise the Association for Information Systems (AIS) Senior Scholars' Basket of Journals (AIS Basket). Journal lists, when framed as a form of ‘strategic signaling’, are used to by institutions to communicate values and priorities to scholars. Through strategic signaling, journal lists are performative and have the potential to shape and constrain research activity. Given the strategic and performative role of journal lists, it is important that the journals that constitute those lists have substantial impact. To measure the scholarly impact of journals we propose a new measure, the HMJ index, which comprises an equally-weighted combination of journal H-index, median citations per article, and Journal Impact Factor (JIF). Using the HMJ index, the results show that all eight AIS Basket journals are performing at a level that is commensurate with the other journals that make up the FT50. The results further show substantial differences between the FT50 journals, such as the number of articles published per annum. Implications for IS scholars, IS groups, and the IS discipline are identified, together with recommendations for action.     

On the World Wide Web

ABSTRACT

An analysis of Web citations was performed to examine three aspects of scholarly and research communication: use of authoritative information, use of correct citation style, and availability of the cited sources for the purpose of verification. Results of the study indicate that a database or a repository of Web citations needs to be established.     

An analysis of the most cited articles in software engineering journals – 2002

Citations and related work are crucial in any research to position the work and to build on the work of others. A high citation count is an indication of the influence of specific articles. The importance of citations means that it is interesting to analyze which articles are cited the most. Such an analysis has been conducted using the ISI Web of Science to identify the most cited software engineering journal articles published in 2002. The objective of the analysis is to identify and list the articles that have influenced others the most as measured by citation count. An understanding of which research is viewed by the research community as most valuable to build upon may provide valuable insights into what research to focus on now and in the future. Based on the analysis, a list of the 20 most cited articles is presented here. The intention of the analysis is twofold. First, to identify the most cited articles, and second, to invite the authors of the most cited articles in 2002 to contribute to a special section of Information and Software Technology. Six authors have accepted the invitation and their articles appear in this special section.     

Knowledge management vs. data mining: Research trend,forecast and citation approach

Knowledge management (KM) and data mining (DM) have become more important today, however, there are few comprehensive researches and categorization schemes to discuss the characteristics for both of them. Using a bibliometric approach, this paper analyzes KM and DM research trends, forecasts and citations from 1989 to 2009 by locating headings “knowledge management” and “data mining” in topics in the SSCI database. The bibliometric analytical technique was used to examine these two topics in SSCI journals from 1989 to 2009, we found 1393 articles with KM and 1181 articles with DM. This paper implemented and classified KM and DM articles using the following eight categories—publication year, citation, country/territory, document type, institute name, language, source title and subject area—for different distribution status in order to explore the differences and how KM and DM technologies have developed in this period and to analyze KM and DM technology tendencies under the above result. Also, the paper performs the K–S test to check whether the distribution of author article production follows Lotka’s law. The research findings can be extended to investigate author productivity by analyzing variables such as chronological and academic age, number and frequency of previous publications, access to research grants, job status, etc. In such a way characteristics of high, medium and low publishing activity of authors can be identified. Besides, these findings will also help to judge scientific research trends and understand the scale of development of research in KM and DM through comparing the increases of the article author. Based on the above information, governments and enterprises may infer collective tendencies and demands for scientific researcher in KM and DM to formulate appropriate training strategies and policies in the future. This analysis provides a roadmap for future research, abstracts technology trend information and facilitates knowledge accumulations, therefore the future research can concentrated in core categories. This implies that the phenomenon “success breeds success” is more common in higher quality publications.     

Citation analysis and impact factor trends in the Ergonomics Journal List, 1975–2007

The current study sought to investigate and analyze citation‐based trends in the field of human factors and ergonomics over a relatively long period of time. Journals were selected from the Ergonomics Journal List (EJL), originally formulated by Dul and Karwowski in 2004. Data were extracted from the Thomson Reuters Journal Citation Reports via a custom order in 2008. Various bibliometric indicators were examined and analyzed, including total citation counts, cited half‐lives, immediacy indices, and journal impact factors. Overall, the results suggest that, although citation counts have increased in recent years, trends were less clear regarding cited half‐lives and immediacy indices. Impact factors rose over time, however, with individual journals increasing their scores between 200% and 613%, with an overall increase of 416% for the EJL between 1975 and 2007. © 2009 Wiley Periodicals, Inc.