Philip J. Kellman
- Cognitive Neuroscience top 0.5%
- Developmental and Educational Psychology top 1%
- Computer Vision and Pattern Recognition top 2%
- Experimental and Cognitive Psychology top 2%
- Social Psychology top 2%
- Co-authors
- Thomas F. ShipleyElizabeth S. SpelkePatrick GarriganKenneth R. ShortNicholas BakerGennady ErlikhmanHongjing LuChristine Massey
- Topics
- Visual perception and processing mechanisms (68 papers)Neural dynamics and brain function (15 papers)Visual and Cognitive Learning Processes (14 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Philip J. Kellman
116 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Cognitive Neuroscience 2.3k
- Developmental and Educational Psychology 712
- Computer Vision and Pattern Recognition 662
- Experimental and Cognitive Psychology 587
- Social Psychology 485
Countries citing papers authored by Philip J. Kellman
This map shows the geographic impact of Philip J. Kellman'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 Philip J. Kellman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip J. Kellman more than expected).
Fields of papers citing papers by Philip J. Kellman
This network shows the impact of papers produced by Philip J. Kellman. 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 Philip J. Kellman. The network helps show where Philip J. Kellman may publish in the future.
Co-authorship network of co-authors of Philip J. Kellman
This figure shows the co-authorship network connecting the top 25 collaborators of Philip J. Kellman. A scholar is included among the top collaborators of Philip J. Kellman 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 Philip J. Kellman. Philip J. Kellman 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 | 10 | |
| 4 | 48 | |
| 5 | 30 | |
| 6 | Deep Convolutional Networks do not Perceive Illusory Contours. | 11 |
| 7 | Enhancing Adaptive Learning through Strategic Scheduling of Passive and Active Learning Modes. | 1 |
| 8 | Perceptual Learning in Correlation Estimation: The Role of Learning Category Organization. | 2 |
| 9 | Development of a Novice Driver Training Module to Accelerate Driver Perceptual Expertise | 1 |
| 10 | 33 | |
| 11 | Adaptive Perceptual Learning in Electrocardiography: The Synergy of Passive and Active Classification. | 5 |
| 12 | Perceptual Learning in Early Mathematics: Interacting with Problem Structure Improves Mapping, Solving and Fluency. | 1 |
| 13 | The Psychophysics of Algebra Expertise: Mathematics Perceptual Learning Interventions Produce Durable Encoding Changes. | 0 |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | Improving Adaptive Learning Technology through the Use of Response Times | 17 |
| 19 | 2 | |
| 20 | 22 |
About Philip J. Kellman
Philip J. Kellman is a scholar working on Cognitive Neuroscience, Family Practice and Experimental and Cognitive Psychology, having authored 127 papers that have together received 3.6k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (68 papers), Neural dynamics and brain function (15 papers) and Visual and Cognitive Learning Processes (14 papers). The work is most often cited by research in Cognitive Neuroscience (2.3k citations), Developmental and Educational Psychology (712 citations) and Family Practice (111 citations). Philip J. Kellman has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Thomas F. Shipley, Elizabeth S. Spelke, Patrick Garrigan, Kenneth R. Short, Nicholas Baker, Gennady Erlikhman, Hongjing Lu, Christine Massey, Carol Yin and Sally Krasne. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Psychological Review.
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.