Jeffrey B. Mulligan
- Cognitive Neuroscience top 10%
- Computer Vision and Pattern Recognition top 5%
- Atomic and Molecular Physics, and Optics
- Social Psychology top 10%
- Experimental and Cognitive Psychology top 10%
- Co-authors
- Albert J. AhumadaDonald I. A. MacLeodLucia ArsintescuErin E. Flynn‐EvansLeland S. StoneKen NakayamaGerald SilvermanKevin B. Gregory
- Topics
- Visual perception and processing mechanisms (21 papers)Color Science and Applications (11 papers)Gaze Tracking and Assistive Technology (7 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Jeffrey B. Mulligan
40 papers receiving 465 citations
Peers
Comparison fields: 5 of 68
- Cognitive Neuroscience 225
- Computer Vision and Pattern Recognition 144
- Atomic and Molecular Physics, and Optics 98
- Social Psychology 96
- Experimental and Cognitive Psychology 94
Countries citing papers authored by Jeffrey B. Mulligan
This map shows the geographic impact of Jeffrey B. Mulligan'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 Jeffrey B. Mulligan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey B. Mulligan more than expected).
Fields of papers citing papers by Jeffrey B. Mulligan
This network shows the impact of papers produced by Jeffrey B. Mulligan. 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 Jeffrey B. Mulligan. The network helps show where Jeffrey B. Mulligan may publish in the future.
Co-authorship network of co-authors of Jeffrey B. Mulligan
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey B. Mulligan. A scholar is included among the top collaborators of Jeffrey B. Mulligan 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 Jeffrey B. Mulligan. Jeffrey B. Mulligan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 28 | |
| 3 | 3 | |
| 4 | Measuring and Modeling Shared Visual Attention | 1 |
| 5 | 7 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 22 | |
| 9 | 3 | |
| 10 | 33 | |
| 11 | 25 | |
| 12 | 1 | |
| 13 | 13 | |
| 14 | 4 | |
| 15 | 50 | |
| 16 | 3 | |
| 17 | 4 | |
| 18 | 5 | |
| 19 | 21 | |
| 20 | 1 |
About Jeffrey B. Mulligan
Jeffrey B. Mulligan is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 44 papers that have together received 488 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (21 papers), Color Science and Applications (11 papers) and Gaze Tracking and Assistive Technology (7 papers). The work is most often cited by research in Cognitive Neuroscience (225 citations), Human-Computer Interaction (45 citations) and Occupational Therapy (33 citations). Jeffrey B. Mulligan has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Albert J. Ahumada, Donald I. A. MacLeod, Lucia Arsintescu, Erin E. Flynn‐Evans, Leland S. Stone, Ken Nakayama, Gerald Silverman, Kevin B. Gregory, Andrew B. Watson and Lawrence K. Cormack. Their work appears in journals such as Vision Research, Journal of the Optical Society of America A and Information Fusion.
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.