Applying the Publication Power Approach to Artificial Intelligence Journals

Rokach, Lior

doi:10.1002/asi.22616

Cited by 5 publications

(9 citation statements)

References 37 publications

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“…Examples include business and technical communication (Lowry, Humphreys, Malwitz, & Nix, 2007a), business ethics (Beets, Lewis, & Brower, 2016;Serenko & Bontis, 2009a), library & information science (Manzari, 2013), artificial intelligence (Rokach, 2012;Serenko, 2010), information systems (Chen et al, forthcoming), and knowledge management (Serenko & Bontis, 2009b). With this study, we further advance the pioneering attempt by Le Rouge and De Leo (2010) to understand researchers' perceptions of e-health journals.…”

Section: Academic Journal Rankingsmentioning

confidence: 90%

Global Ranking of Management- and Clinical-Centered eHealth Journals

Serenko¹,

Dohan²,

Tan³

2017

CAIS

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Abstract:This study presents a ranking list of 35 management-and 28 clinical-centered e-health academic journals developed based on a survey of 398 active researchers from 46 countries. Among the management-centered journals, the researchers ranked Journal of the American Medical Informatics Association and Journal of Medical Internet Research as A+ journals; among the clinical-focused journals, they ranked BMC Medical Informatics and Decision Making and IEEE Journal of Biomedical and Health Informatics as A+ journals. We found that journal longevity (years in print) had an effect on ranking scores such that longer standing journals had an advantage over their more recent counterparts, but this effect was only moderately significant and did not guarantee a favorable ranking position. Various stakeholders may use this list to advance the state of the e-health discipline. There are both similarities and differences between the present ranking and the one developed earlier in 2010.

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Section: Academic Journal Rankingsmentioning

confidence: 90%

Global Ranking of Management- and Clinical-Centered eHealth Journals

Serenko¹,

Dohan²,

Tan³

2017

CAIS

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“…The behavior of these researchers can be trusted because they have demonstrated a level of research excellence which is recognized by their peers (who have participated in their tenure and promotion committees). Rokach [16] has shown that the publication power approach (PPA) that was developed by [5] for identifying the premier journals can reliably rank AI journals.…”

Section: Journal Rankingsmentioning

confidence: 99%

Wikiometrics: a Wikipedia based ranking system

Katz

Rokach

2017

World Wide Web

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We present a new concept-Wikiometrics-the derivation of metrics and indicators from Wikipedia. Wikipedia provides an accurate representation of the real world due to its size, structure, editing policy and popularity. We demonstrate an innovative "mining" methodology, where different elements of Wikipedia -content, structure, editorial actions and reader reviews -are used to rank items in a manner which is by no means inferior to rankings produced by experts or other methods. We test our proposed method by applying it to two real-world ranking problems: top world universities and academic journals. Our proposed ranking methods were compared to leading and widely accepted benchmarks, and were found to be extremely correlative but with the advantage of the data being publically available.

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“…Unlike the results of stated preferences from opinion surveys, or other forms of subjectivity, publication power is based on actual behaviors. Examples of studies adopting the power approach include those of Dees (), Holsapple (), Holsapple and O'Leary (), Holsapple and Lee‐Post (); Rokach (), Serenko and Jiao (), and Song (). Power measures involve the identification of an independently selected set of prominent researchers whose publishing behaviors are to be studied.…”

Section: Basic Directions For Measuring Knowledge Disseminationmentioning

confidence: 99%

“…Each PI variant has been designed by building on the traditional bibliometric impact measure of citations (Harzing & van der Wal, ), and on the bibliometric power concept (Rokach, ). By integrating the two approaches into each PI variant, the analytics results reported here give greater holistic insight into relative statures of journals as knowledge‐dissemination channels in the IS field.…”

Section: Demonstration Of the Pi Techniquementioning

confidence: 99%

“…analytically determined answer to calls for recognition of more than just two or three elite IS journals (Chen, 2011;Dennis et al, 2006;Saunders, 2006;Willcocks et al, 2008). 2 Each PI variant has been designed by building on the traditional bibliometric impact measure of citations (Harzing & van der Wal, 2008, 2009, and on the bibliometric power concept (Rokach, 2012). By integrating the two approaches into each PI variant, the analytics results reported here give greater holistic insight into relative statures of journals as knowledge-dissemination channels in the IS field.…”

Section: Impact Thresholdmentioning

confidence: 99%

See 1 more Smart Citation

Knowledge‐dissemination channels: Analytics of stature evaluation

Chen

Holsapple

Hsiao

et al. 2016

Asso for Info Science & Tech

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Understanding relative statures of channels for disseminating knowledge is of practical interest to both generators and consumers of knowledge flows. For generators, stature can influence attractiveness of alternative dissemination routes and deliberations of those who assess generator performance. For knowledge consumers, channel stature may influence knowledge content to which they are exposed. This study introduces a novel approach to conceptualizing and measuring stature of knowledge‐dissemination channels: the power‐impact (PI) technique. It is a flexible technique having 3 complementary variants, giving holistic insights about channel stature by accounting for both attraction of knowledge generators to a distribution channel and degree to which knowledge consumers choose to use a channel's knowledge content. Each PI variant is expressed in terms of multiple parameters, permitting customization of stature evaluation to suit its user's preferences. In the spirit of analytics, each PI variant is driven by objective evidence of actual behaviors. The PI technique is based on 2 building blocks: (a) power that channels have for attracting results of generators' knowledge work, and (b) impact that channel contents' exhibit on prospective recipients. Feasibility and functionality of the PI‐technique design are demonstrated by applying it to solve a problem of journal stature evaluation for the information‐systems discipline.

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Applying the Publication Power Approach to Artificial Intelligence Journals

Cited by 5 publications

References 37 publications

Global Ranking of Management- and Clinical-Centered eHealth Journals

Global Ranking of Management- and Clinical-Centered eHealth Journals

Wikiometrics: a Wikipedia based ranking system

Knowledge‐dissemination channels: Analytics of stature evaluation

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