R. Stuart Geiger
- Communication top 0.5%
- Computer Science Applications top 0.5%
- Sociology and Political Science top 5%
- Artificial Intelligence top 5%
- Information Systems top 2%
- Co-authors
- David RibesAaron HalfakerJonathan T. MorganJohn RiedlHeather FordLoren TerveenThomas A. FinholtSteven J. Jackson
- Topics
- Wikis in Education and Collaboration (16 papers)Open Source Software Innovations (14 papers)Hate Speech and Cyberbullying Detection (8 papers)
- Partner nations
- United StatesAustriaFinland
In The Last Decade
R. Stuart Geiger
40 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 94
- Communication 708
- Computer Science Applications 410
- Sociology and Political Science 367
- Artificial Intelligence 310
- Information Systems 293
Countries citing papers authored by R. Stuart Geiger
This map shows the geographic impact of R. Stuart Geiger'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 R. Stuart Geiger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Stuart Geiger more than expected).
Fields of papers citing papers by R. Stuart Geiger
This network shows the impact of papers produced by R. Stuart Geiger. 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 R. Stuart Geiger. The network helps show where R. Stuart Geiger may publish in the future.
Co-authorship network of co-authors of R. Stuart Geiger
This figure shows the co-authorship network connecting the top 25 collaborators of R. Stuart Geiger. A scholar is included among the top collaborators of R. Stuart Geiger 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 R. Stuart Geiger. R. Stuart Geiger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 49 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 21 | |
| 7 | 18 | |
| 8 | 14 | |
| 9 | Open algorithmic systems: lessons on opening the black box from Wikipedia | 1 |
| 10 | SUCCESSOR SYSTEMS: THE ROLE OF REFLEXIVE ALGORITMS IN ENACTING IDEOLOGICAL CRITIQUE | 2 |
| 11 | 82 | |
| 12 | 1 | |
| 13 | 55 | |
| 14 | Bots are Users, Too! Rethinking the Roles of Software Agents in HCI. | 1 |
| 15 | Defense Mechanism or Socialization Tactic? Improving | 3 |
| 16 | 51 | |
| 17 | The Lives of Bots | 1 |
| 18 | 144 | |
| 19 | Does Habermas Understand the Internet? The Algorithmic Construction of the Blogo/Public Sphere | 14 |
| 20 | 17 |
About R. Stuart Geiger
R. Stuart Geiger is a scholar working on Computer Science Applications, Communication and Information Systems and Management, having authored 41 papers that have together received 1.3k indexed citations. Recurring topics across this work include Wikis in Education and Collaboration (16 papers), Open Source Software Innovations (14 papers) and Hate Speech and Cyberbullying Detection (8 papers). The work is most often cited by research in Communication (708 citations), Computer Science Applications (410 citations) and Human-Computer Interaction (81 citations). R. Stuart Geiger has collaborated with scholars based in United States, Austria and Finland. Frequent co-authors include David Ribes, Aaron Halfaker, Jonathan T. Morgan, John Riedl, Heather Ford, Loren Terveen, Thomas A. Finholt, Steven J. Jackson, Lilly Irani and Shion Guha. Their work appears in journals such as Communications of the ACM, Cognitive Science and Ecology and Society.
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.