Thomas O. Meservy

1.2k citations
45 papers · 738 indexed · h-index 14
Topics
Knowledge Management and Sharing (13 papers)Deception detection and forensic psychology (9 papers)Technology Adoption and User Behaviour (7 papers)

In The Last Decade

Thomas O. Meservy

41 papers receiving 670 citations

Peers

Thomas O. Meservy
Comparison fields: 5 of 83
  • Information Systems 221
  • Social Psychology 210
  • Sociology and Political Science 186
  • Human-Computer Interaction 146
  • Artificial Intelligence 138
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Citations per field
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Citations per year

Countries citing papers authored by Thomas O. Meservy

Since Specialization
Citations

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

Fields of papers citing papers by Thomas O. Meservy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas O. Meservy. 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 Thomas O. Meservy. The network helps show where Thomas O. Meservy may publish in the future.

Co-authorship network of co-authors of Thomas O. Meservy

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas O. Meservy. A scholar is included among the top collaborators of Thomas O. Meservy 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 Thomas O. Meservy. Thomas O. Meservy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 3
4 5
5
Searching for Expert or Peer Advice in Online Forums
0
6
Production vs. Consumption on Social Media: A Uses and Gratifications Perspective
1
7
Expectation Disconfirmation in ENP Information Filtering: An fMRI Experiment
2
8
Cognitive Patterns of Information Addiction
1
9
The Missing Framework for Virtually Assisted Activities
5
10 4
11 28
12 1
13
EFFECTS OF DEVELOPER COGNITIVE STYLE AND MOTIVATIONS ON INFORMATION SECURITY POLICY COMPLIANCE
1
14 5
15 1
16
Risky Behavior in Online Social Media: Protection Motivation and Social Influence
15
17
Enhancing E-learning using Artifact-Based Collaboration
4
18
AN EXPLORATORY CASE STUDY OF THE BENEFITS OF BUSINESS RULES MANAGEMENT SYSTEMS
3
19 28
20 8

About Thomas O. Meservy

Thomas O. Meservy is a scholar working on Communication, Information Systems and Management and General Decision Sciences, having authored 45 papers that have together received 738 indexed citations. Recurring topics across this work include Knowledge Management and Sharing (13 papers), Deception detection and forensic psychology (9 papers) and Technology Adoption and User Behaviour (7 papers). The work is most often cited by research in Human-Computer Interaction (146 citations), Information Systems and Management (121 citations) and Social Psychology (210 citations). Thomas O. Meservy has collaborated with scholars based in United States, Netherlands and Belgium. Frequent co-authors include Matthew L. Jensen, Jeffrey L. Jenkins, James Gaskin, Jay F. Nunamaker, Judee K. Burgoon, Kelly J. Fadel, Leida Chen, Mark L. Gillenson, Jack Kruse and Douglas P. Twitchell. Their work appears in journals such as Management Science, MIS Quarterly and Computer.

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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