Jon W. Beard

463 citations
24 papers · 324 indexed · h-index 9

Impact in

Papers in

Jon W. Beard

22 papers receiving 278 citations

Peers

Jon W. Beard
Comparison fields: 5 of 77
  • Management Information Systems 111
  • Information Systems and Management 66
  • Communication 37
  • Strategy and Management 70
  • Organizational Behavior and Human Resource Management 48
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Citations per year

Countries citing papers authored by Jon W. Beard

Since Specialization
Citations

This map shows the geographic impact of Jon W. Beard'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 Jon W. Beard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon W. Beard more than expected).

Fields of papers citing papers by Jon W. Beard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon W. Beard. 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 Jon W. Beard. The network helps show where Jon W. Beard may publish in the future.

Co-authors

The 25 scholars most cited alongside Jon W. Beard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jon W. Beard Line = papers co-authored together Jon W. Beard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004113
2 201230
3 199427
4 199525
5 200421
6 199619
7 201116
8 200215
9 202210
10
A taxonomy for the study of human factors in management information systems
19888
11 19967
12
Managing Impressions with Information Technology
20047
13 20145
14 20055
15 20024
16
Coming to Grips with the Management of Information: A Classroom Exercise
20033
17 20193
18
Lessons for Management and Organizational Research from A History of Science
20032
19 20121
20
Where is the Wisdom We Have Lost in Technology
20131

About Jon W. Beard

Jon W. Beard is a scholar working on Management Information Systems, Management Science and Operations Research, Communication, Social Psychology and Strategy and Management, having authored 24 papers that have together received 324 indexed citations. Recurring topics across this work include Complex Systems and Decision Making (3 papers), Systems Engineering Methodologies and Applications (3 papers), Innovation and Knowledge Management (3 papers), Big Data and Business Intelligence (2 papers), Management and Marketing Education (2 papers), Information Technology Governance and Strategy (2 papers), Knowledge Management and Sharing (2 papers) and Business Process Modeling and Analysis (1 paper). The work is most often cited by research in Management Information Systems (111 citations), Information Systems and Management (66 citations), Communication (37 citations), Strategy and Management (70 citations) and Organizational Behavior and Human Resource Management (48 citations). Jon W. Beard has collaborated with scholars based in United States, Netherlands and Switzerland. Frequent co-authors include Mary Sumner, Robert A. Giacalone, Tim O. Peterson, Anna Croon Fors, Gil Regev, Scott Fricker, John S. Carroll, Cecil Eng Huang Chua, Veda C. Storey and Roger H.L. Chiang. Their work appears in journals such as Journal of Engineering and Technology Management, Journal of the Association for Information Systems, Journal of Business Ethics, IEEE Transactions on Engineering Management and The Journal of Psychology.

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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