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Heinz Klein was a fine scholar and mentor whose work and life have inspired us to explore the notion of ‘scholarly influence’ which we cast as ‘ideational’ and ‘social influence’. We adopt a portfolio of measures approach, using the Hirsch family of statistics to assess ideational influence and Social Network Analysis centrality measures for social...
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... interpret this as evidence of his status as a 'critical outsider' who advanced ideas and critiques of extant dogma before others, a point we discuss more fully in the reflections portion of this paper. Table 2 shows a section of the table sorted by g-index and then h-index, presenting Klein's g-index peer group. ...
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... Only 17% mentioned doctoral student supervision, and only 10% mentioned courses taught. Of those that mentioned doctoral student supervision, only one discussed the students' subsequent careers (Truex et al., 2011). Another listed the students' names and their dissertation titles (Swain, 2009). ...
The purpose of scientometric portraits is to recognize prominent scholars, inspire others, and guide those who dedicate their lives to scientific advancement. This study presents the results of a structured literature review of 110 publications that developed scientometric portraits of 91 recognized scientists. Findings indicate that scientometric portraits are a growing topic in library & information science, scientometrics, and discipline-specific venues. Since 2010, the number of publications devoted to creating scientometric portraits has been growing steadily, reaching approximately seven works per year by 2019. 139 authors of scientometric portrait papers roughly fall into two categories of researchers: the majority , who have only contributed once, and a smaller group who have written many portraits and frequently cooperated with others. 65% of all scholars described in the portraits are Indian nationals. This reveals a great interest among Indian scholars in promoting domestic research. We recommend that authors of future scientometric portraits publish their work in discipline-specific outlets as such venues may better reach their target audience, focus on underrepresented disciplines, and recognize women scientists. They should also conduct a more comprehensive literature review to integrate previous findings and inform the study's research methods to discover relevant variables, measures, metrics, and analysis techniques. Producing a scientometric portrait paper should not be considered a bibliometric exercise: the authors should put themselves in place of their readers-for instance, graduate students, academics, and policymakers-and find ways to inform and inspire them. This study also presents an archetype of scholars memorialized in scientometric portraits.
... On several occasions throughout its history, the discipline of information systems has reflected on its need to "eat our own dog food" in relation to such issues as knowledge management, computer-supported collaborative work, open innovation and academic standards [Avital et al., 2008, Truex et al., 2011. To this list we can now add learning analytics. ...
This work-in-progress practice paper reports on the experiences of using Microsoft Teams to teach a large postgraduate class on database systems during the 2020/'21 academic year, under conditions when students and lecturers were in an enforced societal lock-down because of the COVID-19 pandemic. The class was made up of 167 students of 12 different nationalities from diverse backgrounds. Determined efforts were made to create an interactive online classroom experience through the use of quizzes, practical demonstrations, worked examples, and live discussion. The chat feature of Microsoft Teams was extensively used by students to pose and answer questions, as well as to communicate with each other outside of class time. An analysis of the chat log files is presented, looking at how factors such as gender and national culture influenced behaviour, and also looking at how participation in the chat impacted upon the sense of belonging and overall performance.
... Furthermore, the proximity of Hungary, Belgium, Germany, China, the Netherlands and the United States to each other as seen in Figure 7 demonstrates that Glänzel worked in some of these countries (Hungary, Belgium and Germany) and had several scientific co-authorships with researchers from these countries. In addition to the countries listed in 24 . Where a researcher commonly uses the works produced by specific researchers, there can be many reasons for such references or citations. ...
Professor Wolfgang Glänzel, an outstanding and leading professor at the University of Leuven (KU Leuven) in Belgium, received the international Derek John de Solla Price Award for remarkable contributions to the quantitative studies of science in 1999. During his 37yearsof scientific career, 276articles have been individually or collaboratively indexed with his name in Web of Science. Thirty five out of 276 papers were single authored by Glänzel, and the other 241 ones were collaborative works. Glänzel’s highest level of scientific productivity with 122 documents was during the years 2008 to 2017, when he was 53 to 62 years old. Scientometrics was his preferred journal. Glänzel has mainly collaborated with researchers from Hungary and Belgium, specifically some of the KU Leuven and the Hungarian Academy of Sciences. For instance, outstanding researchers including Schubert, Thijs, Braun and Zhang are part his authorship teams. Professor Glänzel has done considerable work in areas such as hybrid clustering, text mining, citation analysis, bibliometric analysis, scientometric indicators, altmetrics, and others.
... Therefore, we are interested in whether academic influence like potential scholarly impact, productivity and citation counts interplay with the award, and which one has a closer relationship to the award. Additionally, as one of author's impact indicators, collaborative activities can reflect and predict how scientists' ideas are absorbed, shared and exchanged by others in the process of collaboration (Abbasi et al., 2011;Truex et al., 2011). So, we also want to wonder how laureate's collaboration changes before and after conferral. ...
How a scholar's achievement and productivity may change by the award of an academic prize is a topic of a long-term interest in research fields such as scientometrics. Numerous studies have explored the impact of receiving a Nobel Prize, a Turing Award, and other international awards on laureates' scholarly performance, but relatively less attention has been paid to the impact of Derek John de Solla Price Medal on its recipients. This paper adopts the methodology of Structural Variation Analysis (SVA) to evaluate how Price medalists' research are impacted, if any, in terms of citation, h-index, and structural variation patterns in underlying collaborative networks. Moreover, we compare the SVA metrics with other indicators such as composite scores and Highly Cited Researchers (HCR). Our results show that: a Price Medal award may not necessarily boost the medalist’s scholarly potential, actual academic impact and collaboration patterns in a degree that is statistically significant. But the SVA method is a better indicator to evaluate the Price Medalist, especially in five-year time windows.
... In other words, research evaluation is in need of an academic recommender system that takes into account the conceptual content of what is cited, recommends research that is ideationally relevant, and suggests citations that contribute to knowledge building. Such a dimension of citations is proposed by Truex, Cuellar, Takeda and Vidgen [61] and Hassan and Loebbecke [22] who refer to it as the ideational dimension and define ideational impact as the uptake of a researcher's ideas and concepts by subsequent research. ...
Ideational impact refers to the uptake of a paper's ideas and concepts by subsequent research. It is defined in stark contrast to total citation impact, a measure predominantly used in research evaluation that assumes that all citations are equal. Understanding ideational impact is critical for evaluating research impact and understanding how scientific disciplines build a cumulative tradition. Research has only recently developed automated citation classification techniques to distinguish between different types of citations and generally does not emphasize the conceptual content of the citations and its ideational impact. To address this problem, we develop Deep Content-enriched Ideational Impact Classification (Deep-CENIC) as the first automated approach for ideational impact classification to support researchers' literature search practices. We evaluate Deep-CENIC on 1,256 papers citing 24 information systems review articles from the IT business value domain. We show that Deep-CENIC significantly outperforms state-of-the-art benchmark models. We contribute to information systems research by operationalizing the concept of ideational impact, designing a recommender system for academic papers based on deep learning techniques, and empirically exploring the ideational impact of the IT business value domain.
... Truex et al. [19] identified two forms of influence. The first one is ideational influence (passive: who is using the work of the researcher?), which also indicates how dominant the researcher's ideas may be in his field, [20] and the second one is social influence (active: who does the one work with?). ...
... The manner of interacting with other researchers in the field is at work in his/her scientific influence in a scientific network. [19] "Some researchers have the power of attracting other researchers and influencing their thoughts by their strategic placement in the social network of a scientific field". [29] The ability to influence others through social interaction processes is called social influence. ...
... [29] The ability to influence others through social interaction processes is called social influence. [19] Centrality indices are used to calculate the social influence. Due to the dynamic nature of medical science and its direct link to the health and life of human beings, it has always been an area of great interest in scientific disciplines. ...
... That is why some researchers have proposed that the question: "Is the work of this researcher of good quality?" should be replaced by the question: "Is this researcher sufficiently influential in his specialized field?" (Truex et al., 2009(Truex et al., , 2011. Therefore, considering the concept of influence to assess scientific outcomes of researchers has been of a greater importance. ...
... The scholarly influence of researchers is not just limited to their citations received, but their interaction with other researchers can also affect their influence on the scientific network of a field. More significantly, the ability of a researcher to influence others through social interaction processes is called connectedness (Truex et al., 2011). By connecting with other scholars, mainly through coauthorship, scholars form their own social capital. ...
This research concerns determining authors’ scientific influence in library and information science research and their impact on the intellectual structure of the discipline by means of integrative indicators of the Scholarly Capital Model and co-authorship patterns. Research records comprised articles published from 1945 to 2016 in library and information science core journals and indexed in Web of Science. CiteSpace (software for visualization of scientific patterns and trends) was employed to map the intellectual structure of library and information science research based on co-authorship patterns. The results showed that the top 10 authors of library and information science research with the highest scores in terms of influence indicators (except for one person) were mostly concerned with the field of scientometrics which can be considered as the special impact of scientometric authors on the intellectual structure of library and information science research especially in recent years. Based on the results of the research, integrative use of scientometric indicators for measuring authors’ level of scholarly influence may grant a more precise perspective for decision makers in the field of library and information science.
... For measuring the ideational influence, h-index family indicators are often used, including primary h-index, g-index, and contemporary h-index or hc-index (Takeda, 2011;Truex et al., 2011). As a tool for measuring a scientist's scientific influence in a certain field and cumulative influence of scientific output, h-index was introduced by George Hirsch (2005). ...
... The manner of interacting with other researchers in the field is at work in his/her scientific influence in a scientific network. Here, we can consider the social influence that discusses the social influence by a researcher through social interaction processes (Truex et al., 2011). Some researchers have the power of attracting other researchers and influencing their thoughts by their strategic placement in the social network of a scientific field. ...
... The scholarly influence research began in 2008 with the Southern Association for Information Systems, Americas Conference on Information Systems, and International Conference on Information Systems papers, punctuated by Truex et al. (2009), which showed how influence could be measured by means of the Hirsch family indices (ideational influence). Then social influence (connectedness) was added as published in Truex et al. (2011) and Takeda et al. (2012). The research population included IB papers indexed in the WoS between 1980 and 2015. ...
... For measuring the ideational influence, h-index family indicators are often used, including primary h-index, g-index, and contemporary h-index or hc-index (Takeda, 2011;Truex et al., 2011). As a tool for measuring a scientist's scientific influence in a certain field and cumulative influence of scientific output, h-index was introduced by George Hirsch (2005). ...
... The manner of interacting with other researchers in the field is at work in his/her scientific influence in a scientific network. Here, we can consider the social influence that discusses the social influence by a researcher through social interaction processes (Truex et al., 2011). Some researchers have the power of attracting other researchers and influencing their thoughts by their strategic placement in the social network of a scientific field. ...
... The scholarly influence research began in 2008 with the Southern Association for Information Systems, Americas Conference on Information Systems, and International Conference on Information Systems papers, punctuated by Truex et al. (2009), which showed how influence could be measured by means of the Hirsch family indices (ideational influence). Then social influence (connectedness) was added as published in Truex et al. (2011) and Takeda et al. (2012). The research population included IB papers indexed in the WoS between 1980 and 2015. ...
... Bibliometrics may be developed for many purposes including the analysis of research by countries (Bonilla, Merigó, & Torres-Abad, 2015), by authors (Podsakoff, MacKenzie, Podsakoff, & Bachrach, 2008) and by institutions (Cakir, Acarturk, Alasehir, & Cilingir, 2015). In IS research, several bibliometric studies analyse the state of the art (Culnan, 1987;Gallivan & Benbunan-Fich, 2007;Hirschheim & Klein, 2012) under a wide range of contexts including leading authors (Dean, Lowry, & Humpherys, 2011;Truex, Cuellar, Takeda, & Vidgen, 2011), institutions and countries (Clark, Au, Walz, & Warren, 2011), journals (Córdoba, Pilkington, & Bernroider, 2012;Lowry et al., 2013;Willcocks, Whitley, & Avgerou, 2008), and topics (Grover, Ayyagari, Gokhale, Lim, & Coffey, 2006). ...
The Information Systems Journal (ISJ) published its first issue in 1991 and in 2015 the journal celebrated its 25th anniversary. This study presents an overview of the leading research trends in the papers that the journal has published during its first quarter of a century via a bibliometric and ontological analysis. From a bibliometric perspective, the analysis considers the publication and citation structure of the journal. The study then develops a graphical analysis of the bibliographic material by using visualisation of similarities software that employs bibliographic coupling and co-citation analysis. The work produces an ontological framework of impact and analyses the journal papers to assess qualitatively ISJ’s impact. The results indicate that the journal has grown significantly over time and is now recognised as one of the leading journals in information systems. Yet, challenges remain if the journal is to meet its aims in impacting and setting the agenda for the development of the Information Systems field.
