Eric G. Freedman
- Cognitive Neuroscience top 10%
- Experimental and Cognitive Psychology
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Education
- Co-authors
- Priti ShahRaymond A. KnightDavid ElliottPatrick SimenThad A. PolkLaurence D. SmithRichard L. LewisGeoffrey L. Thorpe
- Topics
- Neural and Behavioral Psychology Studies (3 papers)Visual and Cognitive Learning Processes (2 papers)Statistics Education and Methodologies (2 papers)
- Cited by
- Cognitive NeuroscienceExperimental and Cognitive PsychologyDevelopmental and Educational Psychology
- Journals
- Journal of Abnormal PsychologyCognitive Brain ResearchJournal of Educational Computing Research
- Partner nations
- United States
In The Last Decade
Eric G. Freedman
12 papers receiving 280 citations
Peers
Comparison fields: 5 of 77
- Cognitive Neuroscience 119
- Experimental and Cognitive Psychology 65
- Computer Vision and Pattern Recognition 59
- Artificial Intelligence 59
- Education 43
Countries citing papers authored by Eric G. Freedman
This map shows the geographic impact of Eric G. Freedman'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 Eric G. Freedman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric G. Freedman more than expected).
Fields of papers citing papers by Eric G. Freedman
This network shows the impact of papers produced by Eric G. Freedman. 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 Eric G. Freedman. The network helps show where Eric G. Freedman may publish in the future.
Co-authorship network of co-authors of Eric G. Freedman
This figure shows the co-authorship network connecting the top 25 collaborators of Eric G. Freedman. A scholar is included among the top collaborators of Eric G. Freedman 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 Eric G. Freedman. Eric G. Freedman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 122 | |
| 2 | A Computational Account of Latency Impairments in Problem Solving by Parkinson's Patients. | 2 |
| 3 | 3 | |
| 4 | 25 | |
| 5 | Goal Management in a Recurrent Neural Network | 2 |
| 6 | 28 | |
| 7 | 6 | |
| 8 | The role of data and theory in covariation assessment: Implications for the theory-ladenness of observation | 15 |
| 9 | MAKING MULTIPLE HYPOTHESES EXPLICIT: AN EXPLICIT STRATEGY COMPUTATIONAL MODELS OF SCIENTIFIC DISCOVERY 1 | 0 |
| 10 | 40 | |
| 11 | 50 | |
| 12 | 3 | |
| 13 | 6 |
About Eric G. Freedman
Eric G. Freedman is a scholar working on General Psychology, Statistics and Probability and Cognitive Neuroscience, having authored 13 papers that have together received 302 indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (3 papers), Visual and Cognitive Learning Processes (2 papers) and Statistics Education and Methodologies (2 papers). The work is most often cited by research in Cognitive Neuroscience (119 citations), Experimental and Cognitive Psychology (65 citations) and Developmental and Educational Psychology (40 citations). Eric G. Freedman has collaborated with scholars based in United States. Frequent co-authors include Priti Shah, Raymond A. Knight, David Elliott, Patrick Simen, Thad A. Polk, Laurence D. Smith, Richard L. Lewis and Geoffrey L. Thorpe. Their work appears in journals such as Journal of Abnormal Psychology, Cognitive Brain Research and Journal of Educational Computing Research.
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.