George N. Reeke
- Molecular Biology top 5%
- Cognitive Neuroscience top 2%
- Cellular and Molecular Neuroscience top 5%
- Physiology top 5%
- Organic Chemistry top 5%
- Co-authors
- Gerald M. EdelmanJ.W. BeckerBruce A. CunninghamJoseph A. GallyJoseph W. BeckerOlaf SpornsP. Read MontagueJohn L. Wang
- Topics
- Neural dynamics and brain function (20 papers)Glycosylation and Glycoproteins Research (10 papers)Neural Networks and Applications (8 papers)
- Partner nations
- United StatesChinaBulgaria
In The Last Decade
George N. Reeke
58 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Molecular Biology 1.9k
- Cognitive Neuroscience 868
- Cellular and Molecular Neuroscience 580
- Physiology 416
- Organic Chemistry 379
Countries citing papers authored by George N. Reeke
This map shows the geographic impact of George N. Reeke'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 George N. Reeke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George N. Reeke more than expected).
Fields of papers citing papers by George N. Reeke
This network shows the impact of papers produced by George N. Reeke. 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 George N. Reeke. The network helps show where George N. Reeke may publish in the future.
Co-authorship network of co-authors of George N. Reeke
This figure shows the co-authorship network connecting the top 25 collaborators of George N. Reeke. A scholar is included among the top collaborators of George N. Reeke 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 George N. Reeke. George N. Reeke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 8 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 19 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | A Darwinist view of the prospects for conscious artifacts | 4 |
| 9 | 200 | |
| 10 | 58 | |
| 11 | Selectionist models of perceptual and motor systems and implications for functionalist theories of brain function | 3 |
| 12 | Selective recognition automata | 5 |
| 13 | 67 | |
| 14 | 17 | |
| 15 | 79 | |
| 16 | 168 | |
| 17 | 40 | |
| 18 | 102 | |
| 19 | 15 | |
| 20 | 13 |
About George N. Reeke
George N. Reeke is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Developmental Biology, having authored 60 papers that have together received 3.8k indexed citations. Recurring topics across this work include Neural dynamics and brain function (20 papers), Glycosylation and Glycoproteins Research (10 papers) and Neural Networks and Applications (8 papers). The work is most often cited by research in Cognitive Neuroscience (868 citations), Cellular and Molecular Neuroscience (580 citations) and Molecular Biology (1.9k citations). George N. Reeke has collaborated with scholars based in United States, China and Bulgaria. Frequent co-authors include Gerald M. Edelman, J.W. Becker, Bruce A. Cunningham, Joseph A. Gally, Joseph W. Becker, Olaf Sporns, P. Read Montague, John L. Wang, Myron J. Waxdal and William N. Lipscomb. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.