John Tripp

29 papers receiving 796 citations

John Tripp's Hit Papers

Technology, Humanness, and Trust: Rethinking Trust in Technology 2015 · 385 citations
3850+3+7Years since publication100200300

Peers

John Tripp
Comparison fields: 5 of 81
  • Information Systems and Management 158
  • Health Informatics 28
  • Management of Technology and Innovation 94
  • Management Information Systems 114
  • Information Systems 264
Replace Justin Scott Giboney with:
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Citations per year

Countries citing papers authored by John Tripp

Since Specialization
Citations

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

Fields of papers citing papers by John Tripp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John Tripp, 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 John Tripp Line = papers co-authored together John Tripp links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Technology, Humanness, and Trust: Rethinking Trust in Technology
Hit paper breakdown →
2015385
2 2016151
3 201668
4 201768
5 201825
6 201420
7 202217
8 201916
9
A Quantitative and Qualitative Study of Facebook Privacy using the Antecedent-Privacy Concern-Outcome Macro Model
201313
10 201112
11
The Impacts of Agile Development Methodology Use on Project Success: A Contingency View.
201210
12 20228
13 19887
14 20147
15 20134
16 20154
17
Want Pudding? An Analytic Model of the Benefits and Constraints of Process Standardization in Services
20103
18 20213
19 20232
20
Introduction to agile and lean: Organizations, products, and development minitrack
20181

About John Tripp

John Tripp is a scholar working on Information Systems, Sociology and Political Science, Information Systems and Management, Management of Technology and Innovation and Communication, having authored 33 papers that have together received 833 indexed citations. Recurring topics across this work include Software Engineering Techniques and Practices (11 papers), Technology Adoption and User Behaviour (8 papers), Collaboration in agile enterprises (7 papers), Knowledge Management and Sharing (5 papers), Digital Marketing and Social Media (4 papers), Software Engineering Research (3 papers), ERP Systems Implementation and Impact (3 papers) and Privacy, Security, and Data Protection (3 papers). The work is most often cited by research in Information Systems and Management (158 citations), Health Informatics (28 citations), Management of Technology and Innovation (94 citations), Management Information Systems (114 citations) and Information Systems (264 citations). John Tripp has collaborated with scholars based in United States, Slovenia and Germany. Frequent co-authors include Nancy K. Lankton, D. Harrison McKnight, Jason Bennett Thatcher, Deborah J. Armstrong, Jeffrey Saltz, Dan Turk, Cynthia K. Riemenschneider, Kin Yip Fung, Varun Grover and Michael Dinger. Their work appears in journals such as Journal of the Association for Information Systems, Journal of Computer Information Systems, International series in management science/operations research/International series in operations research & management science, IEEE Transactions on Engineering Management and Decision Support 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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