Jeffrey B. Mulligan
- Cognitive Neuroscience top 10%
- Visual perception and processing mechanisms 21
- Neural dynamics and brain function 4
- Human-Computer Interaction top 10%
- Gaze Tracking and Assistive Technology 7
- Occupational Therapy top 5%
-
- Sleep and Work-Related Fatigue 5
-
- Advanced Vision and Imaging 5
-
- Color Science and Applications 11
-
- Ergonomics and Musculoskeletal Disorders 5
- Color perception and design 5
- Co-authors
- Albert J. AhumadaDonald I. A. MacLeodLucia ArsintescuErin E. Flynn‐EvansLeland S. StoneKen NakayamaGerald SilvermanKevin B. Gregory
- Journals
- Vision Research (3 papers)Journal of the Optical Society of America A (1 paper)Information Fusion (1 paper)
- 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
- Human-Computer Interaction 45
- Occupational Therapy 33
- Experimental and Cognitive Psychology 94
- Computer Vision and Pattern Recognition 144
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
The 24 scholars most cited alongside Jeffrey B. Mulligan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 0 | |
| 2 | 2018 | 28 | |
| 3 | 2018 | 3 | |
| 4 | Measuring and Modeling Shared Visual Attention | 2016 | 1 |
| 5 | 2012 | 7 | |
| 6 | 2010 | 0 | |
| 7 | 2009 | 2 | |
| 8 | 2003 | 22 | |
| 9 | 2002 | 3 | |
| 10 | 1999 | 33 | |
| 11 | 1997 | 25 | |
| 12 | 1997 | 1 | |
| 13 | 1996 | 13 | |
| 14 | 1995 | 4 | |
| 15 | 1992 | 50 | |
| 16 | 1991 | 3 | |
| 17 | 1990 | 4 | |
| 18 | 1990 | 5 | |
| 19 | 1988 | 21 | |
| 20 | 1988 | 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), Gaze Tracking and Assistive Technology (7 papers), Ergonomics and Musculoskeletal Disorders (5 papers), Advanced Vision and Imaging (5 papers), Sleep and Work-Related Fatigue (5 papers), Color perception and design (5 papers) and Neural dynamics and brain function (4 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.