David Ribes

49 papers receiving 1.6k citations

Peers

David Ribes
Comparison fields: 5 of 124
  • Computer Science Applications 309
  • Information Systems and Management 368
  • Human-Computer Interaction 241
  • Communication 261
  • Information Systems 468
Replace Charlotte P. Lee with:
Charlotte P. Lee United States
Karen Ruhleder United States
Lucas D. Introna United Kingdom
Steve Sawyer United States
Thomas A. Finholt United States
Neil Pollock United Kingdom
Julian E. Orr United States
Diane H. Sonnenwald United States
Christian Sandvig United States
Helena Karasti Finland
David Ribes relative to Charlotte P. Lee United States Charlotte P. Lee's profile →
Citations per field
00.5×1.5×1.9×
Charlotte P. Lee · 1×
Citations per year

Countries citing papers authored by David Ribes

Since Specialization
Citations

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

Fields of papers citing papers by David Ribes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009213
2 2011167
3
Knowledge Infrastructures: Intellectual Frameworks and Research Challenges
2013163
4 2010149
5 2010100
6 201168
7 202164
8 201960
9 201955
10 200954
11 201452
12 200751
13 201251
14 201239
15 201436
16 201835
17 202031
18 201729
19 200828
20 201527

About David Ribes

David Ribes is a scholar working on Sociology and Political Science, Information Systems, Information Systems and Management, Human-Computer Interaction and Computer Science Applications, having authored 54 papers that have together received 1.7k indexed citations. Recurring topics across this work include Information Systems Theories and Implementation (21 papers), Research Data Management Practices (13 papers), Scientific Computing and Data Management (12 papers), Innovative Human-Technology Interaction (11 papers), Mobile Crowdsensing and Crowdsourcing (6 papers), Open Source Software Innovations (6 papers), Complex Network Analysis Techniques (5 papers) and Data Quality and Management (4 papers). The work is most often cited by research in Computer Science Applications (309 citations), Information Systems and Management (368 citations), Human-Computer Interaction (241 citations), Communication (261 citations) and Information Systems (468 citations). David Ribes has collaborated with scholars based in United States, Canada and Denmark. Frequent co-authors include R. Stuart Geiger, Thomas A. Finholt, Geoffrey C. Bowker, Charlotte P. Lee, Steven J. Jackson, Andrew Hoffman, Matt Burton, Christine L. Borgman, Paul Edwards and Scout Calvert. Their work appears in journals such as Science Technology & Human Values, Social Studies of Science, Proceedings of the ACM on Human-Computer Interaction, Journal of the Association for Information Systems and Information and Organization.

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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