Jim Burkman

858 total citations · 1 hit paper
11 papers, 613 citations indexed

About

Jim Burkman is a scholar working on Communication, Sociology and Political Science and Information Systems. According to data from OpenAlex, Jim Burkman has authored 11 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Communication, 3 papers in Sociology and Political Science and 3 papers in Information Systems. Recurrent topics in Jim Burkman's work include Knowledge Management and Sharing (2 papers), Technology Adoption and User Behaviour (2 papers) and Online Learning and Analytics (2 papers). Jim Burkman is often cited by papers focused on Knowledge Management and Sharing (2 papers), Technology Adoption and User Behaviour (2 papers) and Online Learning and Analytics (2 papers). Jim Burkman collaborates with scholars based in United States. Jim Burkman's co-authors include Susan A. Brown, Mitzi M. Montoya‐Weiss, Andrew Massey, Donald R. Jones, Jeff Baker, Andy Luse, Mark Weiser, David Biros, Erin Stewart and Joseph Thomas and has published in prestigious journals such as Journal of Business Research, Australasian Journal of Paramedicine and Journal of the Association for Information Systems.

In The Last Decade

Jim Burkman

11 papers receiving 535 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Do I really have to? User acceptance of mandated technology

2002 522 citations Susan A. Brown, Andrew Massey et al. European Journal of Information Systems profile →

Peers

Jim Burkman

ISM

SPS

MIS

COMMU

OBHRM

Lewis C. Chasalow United States

Chon Abraham United States

Gary Hackbarth United States

Camille Grangé Canada

Helana Scheepers Australia

Erling C. Havn Denmark

Stuart Dillon New Zealand

Daniel Y. Shee Taiwan

Susan K. Lippert United States

Jacob Chia-An Tsai Taiwan

Lewis C. Chasalow United States

Jim Burkman

328 ×0.9

ISM

338 ×1.6

SPS

114 ×0.9

MIS

81 ×0.7

COMMU

81 ×0.8

OBHRM

Citations per year, relative to Jim Burkman Jim Burkman (= 1×) peers Lewis C. Chasalow

Countries citing papers authored by Jim Burkman

Since Specialization

Citations

This map shows the geographic impact of Jim Burkman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jim Burkman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jim Burkman more than expected).

Fields of papers citing papers by Jim Burkman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jim Burkman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jim Burkman. The network helps show where Jim Burkman may publish in the future.

Co-authorship network of co-authors of Jim Burkman

This figure shows the co-authorship network connecting the top 25 collaborators of Jim Burkman. A scholar is included among the top collaborators of Jim Burkman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jim Burkman. Jim Burkman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Luse, Andy, Jim Burkman, & Erin Stewart. (2022). The Impact of Self-Perceived Facial Attractiveness on Webcam Use. Journal of Computer Information Systems. 63(5). 1201–1212. 1 indexed citations

2.

Luse, Andy & Jim Burkman. (2022). Learned helplessness attributional scale (LHAS): Development and validation of an attributional style measure. Journal of Business Research. 151. 623–634. 7 indexed citations

3.

Burkman, Jim, et al.. (2021). Gophish: Implementing a Real-World Phishing Exercise to Teach Social Engineering. DigitalCommons - Kennesaw State University (Kennesaw State University). 2020(2). 3 indexed citations

4.

Luse, Andy & Jim Burkman. (2020). Wearables in the Workplace: Examination Using a Privacy Boundary Model. 2020(2). 2. 2 indexed citations

5.

Luse, Andy & Jim Burkman. (2018). Safely Using Real-World Data for Teaching Statistics: A Comparison of Student Performance and Perceived Realism between Dataset Types. Journal of the Association for Information Systems. 2018(1). 11–22. 1 indexed citations

6.

Luse, Andy, et al.. (2018). Windows ME: Using Antiquated Software to Learn About Security. IEEE Potentials. 37(2). 10–12. 2 indexed citations

7.

Wang, Daniel, et al.. (2016). Dynamic Visualization of Time-Based Changes to Data Generated by Reddit.com: The Real Time Conversation Project. 13(4). 1 indexed citations

8.

Biros, David, et al.. (2009). Motivating Knowledge Sharing in Diverse Organizational Contexts: An Argument for Reopening the Intrinsic vs. Extrinsic Debate. Journal of the Association for Information Systems. 285. 1 indexed citations

9.

Baker, Jeff, Donald R. Jones, & Jim Burkman. (2009). Using Visual Representations of Data to Enhance Sensemaking in Data Exploration Tasks. Journal of the Association for Information Systems. 10(7). 533–559. 67 indexed citations

10.

Biros, David, et al.. (2008). Information Sharing: Hackers vs Law Enforcement. Australasian Journal of Paramedicine. 6 indexed citations

11.

Brown, Susan A., Andrew Massey, Mitzi M. Montoya‐Weiss, & Jim Burkman. (2002). Do I really have to? User acceptance of mandated technology. European Journal of Information Systems. 11(4). 283–295. 522 indexed citations breakdown →

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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