Rich Gossweiler
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience top 10%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Human-Computer Interaction top 2%
- Co-authors
- Dennis R. ProffíttMukul BhallaJonathan MidgettShumeet BalujaMaryam KamvarSarah E. BattersbyVidya SetlurAnne Lynn S. Chang
- Topics
- Interactive and Immersive Displays (7 papers)Computer Graphics and Visualization Techniques (4 papers)Advanced Vision and Imaging (3 papers)
- Journals
- Psychonomic Bulletin & ReviewPRESENCE Virtual and Augmented RealityIEEE Pervasive Computing
- Partner nations
- United States
In The Last Decade
Rich Gossweiler
19 papers receiving 813 citations
Peers
Comparison fields: 5 of 105
- Computer Vision and Pattern Recognition 322
- Cognitive Neuroscience 249
- Information Systems 215
- Artificial Intelligence 159
- Human-Computer Interaction 153
Countries citing papers authored by Rich Gossweiler
This map shows the geographic impact of Rich Gossweiler'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 Rich Gossweiler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rich Gossweiler more than expected).
Fields of papers citing papers by Rich Gossweiler
This network shows the impact of papers produced by Rich Gossweiler. 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 Rich Gossweiler. The network helps show where Rich Gossweiler may publish in the future.
Co-authorship network of co-authors of Rich Gossweiler
This figure shows the co-authorship network connecting the top 25 collaborators of Rich Gossweiler. A scholar is included among the top collaborators of Rich Gossweiler 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 Rich Gossweiler. Rich Gossweiler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 152 | |
| 2 | 8 | |
| 3 | QuickSuggest: Character Prediction for Improved Text Entry on Web Appliances | 1 |
| 4 | 3 | |
| 5 | 105 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 9 | |
| 9 | NASA's MERBoard: An Interactive Collaborative Workspace Platform | 5 |
| 10 | 35 | |
| 11 | 40 | |
| 12 | 127 | |
| 13 | 334 | |
| 14 | 4 | |
| 15 | 4 | |
| 16 | 20 | |
| 17 | 34 | |
| 18 | 18 | |
| 19 | 6 |
About Rich Gossweiler
Rich Gossweiler is a scholar working on Human-Computer Interaction, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 911 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (7 papers), Computer Graphics and Visualization Techniques (4 papers) and Advanced Vision and Imaging (3 papers). The work is most often cited by research in Human-Computer Interaction (153 citations), Computer Vision and Pattern Recognition (322 citations) and Cognitive Neuroscience (249 citations). Rich Gossweiler has collaborated with scholars based in United States. Frequent co-authors include Dennis R. Proffítt, Mukul Bhalla, Jonathan Midgett, Shumeet Baluja, Maryam Kamvar, Sarah E. Battersby, Vidya Setlur, Anne Lynn S. Chang, Melanie Tory and Ed H.. Their work appears in journals such as Psychonomic Bulletin & Review, PRESENCE Virtual and Augmented Reality and IEEE Pervasive Computing.
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.