John E. Hummel
- Cognitive Neuroscience top 1%
- Developmental and Educational Psychology top 2%
- Computer Vision and Pattern Recognition top 2%
- Experimental and Cognitive Psychology top 5%
- Artificial Intelligence top 5%
- Co-authors
- Irving BiedermanKeith J. HolyoakBrian J. StankiewiczEric E. CooperDerek PowellZachary HorneCollin GreenJun Saiki
- Topics
- Visual perception and processing mechanisms (21 papers)Face Recognition and Perception (17 papers)Child and Animal Learning Development (13 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
John E. Hummel
49 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Cognitive Neuroscience 1.4k
- Developmental and Educational Psychology 504
- Computer Vision and Pattern Recognition 461
- Experimental and Cognitive Psychology 394
- Artificial Intelligence 336
Countries citing papers authored by John E. Hummel
This map shows the geographic impact of John E. Hummel'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 John E. Hummel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John E. Hummel more than expected).
Fields of papers citing papers by John E. Hummel
This network shows the impact of papers produced by John E. Hummel. 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 John E. Hummel. The network helps show where John E. Hummel may publish in the future.
Co-authorship network of co-authors of John E. Hummel
This figure shows the co-authorship network connecting the top 25 collaborators of John E. Hummel. A scholar is included among the top collaborators of John E. Hummel 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 John E. Hummel. John E. Hummel 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 | 3 | |
| 3 | 17 | |
| 4 | 20 | |
| 5 | 9 | |
| 6 | 5 | |
| 7 | 83 | |
| 8 | 7 | |
| 9 | 30 | |
| 10 | 57 | |
| 11 | Functional Interactions Affect Object Detection in Non-Scene Displays | 4 |
| 12 | 32 | |
| 13 | 14 | |
| 14 | 29 | |
| 15 | 50 | |
| 16 | 40 | |
| 17 | 80 | |
| 18 | 20 | |
| 19 | 54 | |
| 20 | Dynamic binding in a neural network for shape recognition.breakdown → | 642 |
About John E. Hummel
John E. Hummel is a scholar working on Cognitive Neuroscience, General Decision Sciences and Developmental and Educational Psychology, having authored 50 papers that have together received 2.4k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (21 papers), Face Recognition and Perception (17 papers) and Child and Animal Learning Development (13 papers). The work is most often cited by research in Cognitive Neuroscience (1.4k citations), General Decision Sciences (81 citations) and Developmental and Educational Psychology (504 citations). John E. Hummel has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Irving Biederman, Keith J. Holyoak, Brian J. Stankiewicz, Eric E. Cooper, Derek Powell, Zachary Horne, Collin Green, Jun Saiki, Daniel C. Krawczyk and Leonidas A. A. Doumas. 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.