Tim Jacks

28 papers receiving 298 citations

Peers

Tim Jacks
Comparison fields: 5 of 62
  • Information Systems and Management 86
  • Communication 74
  • Management Information Systems 77
  • Health Information Management 26
  • Organizational Behavior and Human Resource Management 58
Replace Chao Min Chiu with:
Chao Min Chiu Taiwan
Andra Gumbus United States
Rahul Bodhi India
Victor Mbarika United States
Mike Gallivan United States
Richard Hauser United States
Abida Ellahi Pakistan
Vichita Vathanophas Thailand
James Sheffield New Zealand
Hervé Laroche France
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Citations per year

Countries citing papers authored by Tim Jacks

Since Specialization
Citations

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

Fields of papers citing papers by Tim Jacks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim Jacks. 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 Tim Jacks. The network helps show where Tim Jacks may publish in the future.

Co-authors

The 22 scholars most cited alongside Tim Jacks, 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 Tim Jacks Line = papers co-authored together Tim Jacks links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201141
2 201136
3 201227
4 201727
5 201925
6 201224
7 201320
8 202119
9 202118
10 201814
11 201513
12 201710
13 20187
14 20216
15
A Cultural Sociology Perspective on IT Occupational Culture
20115
16
Computer-Mediated Friendship Networks
20095
17 20214
18
IT’s Impact on Organizational Performance: A Meta-Analysis
20093
19 20213
20 20213

About Tim Jacks

Tim Jacks is a scholar working on Communication, Management Information Systems, Information Systems and Management, Health Information Management and Organizational Behavior and Human Resource Management, having authored 30 papers that have together received 325 indexed citations. Recurring topics across this work include Information Systems Theories and Implementation (10 papers), Knowledge Management and Sharing (10 papers), Information Technology Governance and Strategy (8 papers), Technology Adoption and User Behaviour (7 papers), Big Data and Business Intelligence (6 papers), Job Satisfaction and Organizational Behavior (3 papers), Technostress in Professional Settings (3 papers) and Electronic Health Records Systems (2 papers). The work is most often cited by research in Information Systems and Management (86 citations), Communication (74 citations), Management Information Systems (77 citations), Health Information Management (26 citations) and Organizational Behavior and Human Resource Management (58 citations). Tim Jacks has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Prashant Palvia, Alexander Serenko, Hamid Nemati, Steven P. Wallace, Lei Wang, Kevin B. Lowe, Valter Moreno, Carlo Gabriel Porto Bellini, Paul S. Licker and Lakshmi Iyer. Their work appears in journals such as Journal of the Association for Information Systems, Journal of Global Information Technology Management, Information Technology and People, IEEE Transactions on Engineering Management and ACM SIGMIS Database the DATABASE for Advances in Information Systems.

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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