David R. McGee
- Artificial Intelligence top 2%
- Human-Computer Interaction top 0.5%
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience top 10%
- Social Psychology top 10%
- Co-authors
- Philip R. CohenSharon OviattIra SmithMichael JohnstonLiang ChenJames A. PittmanXiaoguang LiSteven Feiner
- Topics
- Speech and dialogue systems (21 papers)Multi-Agent Systems and Negotiation (16 papers)Interactive and Immersive Displays (5 papers)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
David R. McGee
30 papers receiving 869 citations
Peers
Comparison fields: 5 of 59
- Artificial Intelligence 743
- Human-Computer Interaction 499
- Computer Vision and Pattern Recognition 230
- Cognitive Neuroscience 142
- Social Psychology 140
Countries citing papers authored by David R. McGee
This map shows the geographic impact of David R. McGee'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 R. McGee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David R. McGee more than expected).
Fields of papers citing papers by David R. McGee
This network shows the impact of papers produced by David R. McGee. 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 R. McGee. The network helps show where David R. McGee may publish in the future.
Co-authorship network of co-authors of David R. McGee
This figure shows the co-authorship network connecting the top 25 collaborators of David R. McGee. A scholar is included among the top collaborators of David R. McGee 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 David R. McGee. David R. McGee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 69 | |
| 5 | 127 | |
| 6 | Augmenting environments with multimodal interaction | 2 |
| 7 | 24 | |
| 8 | 7 | |
| 9 | Semantics of Agent Communication Languages for Group Interaction | 29 |
| 10 | Designing the Semantics of Agent Communication Languages for Group Interaction | 2 |
| 11 | 1 | |
| 12 | 36 | |
| 13 | 19 | |
| 14 | 24 | |
| 15 | Exploring Handheld, Agent-based Multimodal Collaboration | 3 |
| 16 | 50 | |
| 17 | 20 | |
| 18 | 32 | |
| 19 | 36 | |
| 20 | 307 |
About David R. McGee
David R. McGee is a scholar working on Human-Computer Interaction, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Speech and dialogue systems (21 papers), Multi-Agent Systems and Negotiation (16 papers) and Interactive and Immersive Displays (5 papers). The work is most often cited by research in Human-Computer Interaction (499 citations), Artificial Intelligence (743 citations) and Computer Vision and Pattern Recognition (230 citations). David R. McGee has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Philip R. Cohen, Sharon Oviatt, Ira Smith, Michael Johnston, Liang Chen, James A. Pittman, Xiaoguang Li, Steven Feiner, Alex Olwal and Andrea Corradini. Their work appears in journals such as Communications of the ACM, IEEE Computer Graphics and Applications and Human-Computer Interaction.
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.