Search results

The purpose of this paper is to identify the utility of Web of Science, Scopus and Google Scholar as citation analysis tools for the social sciences.

The 25 most‐accessed articles in 163 social sciences journals are searched in three citation databases.

Web of Science has long been the only tool for citation analysis. Scopus and Google Scholar, while still new to the market, are complementary to Web of Science and in some cases can provide a more nuanced view of the importance of scholarly articles in the social sciences.

As libraries struggle to provide the best tools to their users, they may wish to consider the freely‐available Google Scholar as a substitute or complement to expensive databases such as Web of Science and Scopus.

Most analyses of citation databases have focused on the sciences. Because this study examined the social sciences literature, it has expanded on the research available on Web of Science, Google Scholar and Scopus.

The purpose of this paper is to compare the performance of the supply chain management and logistics (SCML) strategy journals recently added to the Web of Science database to the performance of journals from other business disciplines also recently admitted to the Web of Science database on the Thomson Reuters selection process criteria.

A benchmarking approach is used to examine the relative performance of SCML journals over a two‐year period.

The two sets of journals' publishing standards and the number of citations for authors from the two groups are quite similar. Journals in the benchmark group had greater international diversity and balance among their authors, editors and editorial boards, while the SCML journals were cited more often in Web of Science and had lower self‐citation rates.

This study required a great deal of counting, and some of the data were collected multiple times to check for accuracy. Still, it is possible that mistakes were made. Data from different years and different authors may have yielded different results.

The recent addition of six journals to the Web of Science database allows leading SCML journals to compete on a level playing field with other top‐tier business journals and can therefore be regarded as a major step forward in the maturation of the discipline, as well as recognition of the quality of the journals.

The authors' benchmarking study extends previous examinations of SCML journals relative to leading journals in other business fields, and offers direction for how SCML researchers and journal editors can continue to contribute to the maturation of the discipline.

Telepresence robots (TPRs) are an emerging field of application and research that have received attention from various disciplines, including computer science, telehealth and education. The purpose of this study is to conduct a bibliometric analysis of publications on TPR in the Web of Science database from 1980 to 2022 to gain a better understanding of the state of research on TPRs and explore the role of pedagogical and psychological aspects in this research.

The analysis of research publications on TPRs was made on the basis of papers published in the Web of Science database from 1980 to 2022. The following research questions were proposed: What are the main tendencies in publication years, document types, countries of origin, source titles, publication authors, affiliations of authors and the most cited articles related to TPRs? What are the main topics discussed in the publications from the perspective of psychology? What are the main topics discussed in the publications from the perspective of educational sciences?

The results indicate that it is in the computer science where most of the existing research has been conducted, whereas the interest in the psychology and educational science has been relatively low. The greatest regional contributor has been the USA, whereas the effort in the European Union lags behind. Research publications in psychology in the Web of Science database related to TPRs can be grouped into three broad thematic categories: features of TPRs, degree of social presence compared to physical presence or other mediated technologies and opportunities for using TPRs. The results suggest that from the perspective of psychology, TPRs are one of the approaches that could enable greater social presence in remote communication. Most of the analysed papers in educational sciences investigated the opportunities of using TPRs in various educational fields. However, while the findings of the studies indicated significant potential of TPRs for education, their acceptance for wider use is still challenged.

The limitations of this research are that this study only analysed research papers in the Web of Science database and therefore only covers a limited number of scientific papers published in the field of psychology and educational sciences on TPRs. In addition, only publications with the term “telepresence robots” in the topic area of the Web of Science database were analysed. Therefore, several relevant studies are not discussed in this paper that are not reflected in the Web of Science database or were related to other keywords.

The field of TPRs has not been explored using a bibliographic analysis of publications in the Web of Science database from the perspective of psychology and educational sciences. The findings of this paper will help researchers and academic staff better understand the state of research on TPRs and the pedagogical and psychological aspects addressed in this research.

Performing efficient literature searches and subscribing to the most comprehensive databases for interdisciplinary fields can be challenging since the literature is typically indexed in numerous databases to different extents. Comparing databases will help information professionals make appropriate choices when teaching, literature searching, creating online subject guides, and deciding which databases to renew when faced with fiscal challenges. The purpose of this paper is to compare databases for searching the chemical engineering literature.

This paper compares journal indexing and search recall across seven databases that cover the chemical engineering literature in order to determine which database and database pair provide the most comprehensive coverage in this area. It also summarizes published, database comparison methods to aid information professionals in undertaking their own comparative assessments.

SciFinder, Scopus, and Web of Science, listed alphabetically, were the leading databases for searching the chemical engineering literature. SciFinder-Scopus and SciFinder-Web of Science were the top two database pairs. No single database or pair provided 100 percent complete coverage of the literature examined. Searching a second database increased the recall of results by an average of 17.6 percent.

The findings are useful since they identify “best bets” for performing an efficient search of the chemical engineering literature. Information professionals can also use the methods discussed to compare databases for any discipline or search topic.

This paper builds on the previous literature by using a dual approach to compare the coverage of the chemical engineering literature across multiple databases. To the author’s knowledge, comparing databases in the field of chemical engineering has not been reported in the literature thus far.

After 40 years, IJPDLM received its first impact factor from Web of Science in 2010. This anniversary editorial provides a retrospective bibliometric assessment of IJPDLM over its initial five years as a Web of Science journal (2011-2015). First, IJPDLM’s citation metrics are compared to those for the Web of Science journal subject category of Management. Next, IJPDLM’s most cited articles, best papers and special issues together with the international diversity of the journal’s author base from 2011 to 2015 are reviewed. The analysis also presents the journals that cite IJPDLM most frequently, as well as the journals most frequently cited in IJPDLM. Finally, IJPDLM is compared to peer journals in the logistics and SCM field on various scholarly metrics including impact factor, five-year impact factor, h5-index, number of citations received and self-citation rate. The paper aims to discuss these issues.

Retrospective bibliometric analysis of IJPDLM from 2011 to 2015.

Boosted by the journal’s admission to Web of Science in 2010, IJPDLM has made steady progress toward fulfilling the mission of providing its constituents with timeliness, inclusiveness and impact.

The comparison of IJPDLM’s scholarly metrics with those of peer journals and journals in the Web of Science Management category will be of interest and value to logistics and SCM researchers.

The retrospective overview and celebration of IJPDLM’s progress over the last five years and future directions will be of interest to the journal’s stakeholders and prospective authors.

This paper ranks university faculties, accounting doctoral programs, individual behavioral accounting researchers, and the most influential articles based on Google Scholar citations to publications in Advances in Accounting Behavioral Research (AABR). All articles published in AABR in its first 15 volumes are included and four citation metrics are used. The paper identifies the articles, authors, faculties, and doctoral programs that made the greatest contribution to the development of AABR. Such an analysis provides a useful basis for understanding the direction the journal has taken and how it has contributed to the literature (Meyer & Rigsby, 2001). The h-index and m-index for AABR indicates it compares favorably among its peers. Potential doctoral students with an interest in behavioral accounting research, “new” accounting faculty with an interest in behavioral accounting research, current behavioral accounting research faculty, department chairs, deans, and other administrators will find these results informative.

The purpose of this paper is to investigate how often geoscientists use different information sources and how this pattern of source use balances their perceptions of the quality and ease of use of the information sources.

The geoscientists at the Geological Survey of Norway were surveyed about their information-seeking behavior. The response rate was 70 percent.

The geoscientists primarily relied on web search and colleagues for information. These two information sources were perceived as easy to use, more so than bibliographic databases (GeoRef, Web of Science, and the library database). Bibliographic databases were used infrequently and perceived as yielding poorer quality results than consulting a colleague. The likelihood of using web search and colleagues to find information about a new topic was determined by the ease of using these sources. In contrast, the quality of the resulting information did not determine the frequency with which any of the information sources were used. The geoscientists who spent more time looking for information searched the web more often, had more reservations toward the quality of information obtained from colleagues, and read more journal articles and conference papers.

Geoscientists’ use of an information source is self-reinforcing and unlikely to increase through improving its quality alone. It should be noted that the study is restricted to one geoscience organization.

The main reference about the information-seeking behavior of geoscientists is almost three decades old. This study provides an update.

The purpose of this paper is to define the scientific production and productivity, and to present the main indicators for the measurement of the scientific activity. The impact of the research is to be measured and analyzed through citation analysis.

This is an exploratory study made at the Transilvania University of Brasov to evaluate the research output of the faculty. The author analyzed the 2008 research performance as documented in its annual evaluation that states the number of papers, books, and research contracts. Using Publish or Perish, the author calculated the H‐index, G‐index, HC‐index and HI norm, of the 60 more‐productive professors. Correlation indicators are presented and the importance of open access tools and repositories for increasing the impact of scientific research is discussed.

The Publish or Perish software is an easy to use instrument for analyzing the impact of research. It calculates the impact of the researchers using the very visible resource, Google Scholar. Google Scholar has better indexing of proceedings and non‐English language material than ISI Web of Science but does not perform so well tracking citations from books and chapters of books.

Authors' impact analysis and citations are not an assessment tool in Romanian universities, but it is commonly accepted that increasing research impact through more citations is one qualitative indicator.

It was suggested to the faculty that all professors have to be analysed with the same indicator. Further, Google Scholar and the H‐index obtained using Publish or Perish offer tools for assessing scientific research in a university and for evaluating professors.

The results showed that an open access institutional repository would significantly add to the visibility of the university's scientific production.

The paper presents the methodology and the results of an exploratory study made at the Transilvania University of Brasov regarding the H‐Index of the academic staff. It analyzes the research performances achieved by Brasov academic community in 2008, as realised in its annual evaluation – number of papers, books, research contracts, etc. – by comparing the four indexes of those 60 professors with the best results.

Data science is a relatively new field which has gained considerable attention in recent years. This new field requires a wide range of knowledge and skills from different disciplines including mathematics and statistics, computer science and information science. The purpose of this paper is to present the results of the study that explored the field of data science from the library and information science (LIS) perspective.

Analysis of research publications on data science was made on the basis of papers published in the Web of Science database. The following research questions were proposed: What are the main tendencies in publication years, document types, countries of origin, source titles, authors of publications, affiliations of the article authors and the most cited articles related to data science in the field of LIS? What are the main themes discussed in the publications from the LIS perspective?

The highest contribution to data science comes from the computer science research community. The contribution of information science and library science community is quite small. However, there has been continuous increase in articles from the year 2015. The main document types are journal articles, followed by conference proceedings and editorial material. The top three journals that publish data science papers from the LIS perspective are the Journal of the American Medical Informatics Association, the International Journal of Information Management and the Journal of the Association for Information Science and Technology. The top five countries publishing are USA, China, England, Australia and India. The most cited article has got 112 citations. The analysis revealed that the data science field is quite interdisciplinary by nature. In addition to the field of LIS the papers belonged to several other research areas. The reviewed articles belonged to the six broad categories: data science education and training; knowledge and skills of the data professional; the role of libraries and librarians in the data science movement; tools, techniques and applications of data science; data science from the knowledge management perspective; and data science from the perspective of health sciences.

The limitations of this research are that this study only analyzed research papers in the Web of Science database and therefore only covers a certain amount of scientific papers published in the field of LIS. In addition, only publications with the term “data science” in the topic area of the Web of Science database were analyzed. Therefore, several relevant studies are not discussed in this paper that are not reflected in the Web of Science database or were related to other keywords such as “e-science,” “e-research,” “data service,” “data curation” or “research data management.”

The field of data science has not been explored using bibliographic analysis of publications from the perspective of the LIS. This paper helps to better understand the field of data science and the perspectives for information professionals.

The paper aims to provide an overview of the state-of-the-art of the event industry in the context of digitalization to understand how digital technologies change the event industry and what research topics are the most promising for further exploration.

A bibliometric analysis of the existing body of knowledge on the topic was conducted and the results were visualized using CiteSpace 5.8.R3. A total of 1999 articles and proceeding papers from the Web of Science Core Collection published between 2007 and 2022 were selected for our analysis. Based on the articles and proceeding papers in the Web of Science Core Collection database, we selected a set of publications for our analysis. The data were obtained through specific keywords related to our research topic. The method involves a process of three main stages: data collection, data processing and the bibliometric analysis.

Co-citation analysis indicated that issues of crowd management and tracking human mobility during mass events are important for the event industry and that technologies such as the Internet of Things, special-purpose mobile applications and systems make it easier for an event organizer to handle the issues. The findings demonstrated a weak scientific collaboration between countries in the topic studied and shift of research hotspots to study of satisfaction, motivation and behavioral patterns of events attendees. Based on this analysis, three directions for future research were revealed.

The results should be interpreted in light of our sample, because the analysis was conducted within our sample which has boundaries. We collected data from all categories in the Web of Science Core Collection database, but we considered only articles and proceeding papers as opposed to all possible types of scientific publications and other databases. In the study, we focused on detecting the state-of-the-art of the event industry in the context of digitalization overall. More specific topics that could be analyzed remain, for example, the dependency of digital technologies from the event type, etc.

This study reflects the state-of-the-art of the event industry in the context of digitalization. It provides researchers with key developmental trends in the event industry, which assists them in more deeply understanding the evolution of research hotspots in the field during last 15 years and defining future research agenda. The paper presents an overview of digital technologies used in various types of events and describes the issues and results related to the implementing digital technologies. The results obtained were extremely important, as they can be used by event managers and organizers to enhance customers’ experience during the events.

This study reflects the state-of-the-art of the event industry in the context of digitalization. This is the first attempt to make an overall analysis of scientific papers published in the Web of Science Core Collection on the topic studied without excluding any categories. The search procedure is transparent, and the results can be reproduced in other search fields using the same approach. Based on this analysis, three directions for future research were revealed including technological aspects of online event-based social networks, issues of crowd management and security at mass events and issues of attendees’ acceptance of novel digital technologies.