Warren S. McCulloch
- Cognitive Neuroscience top 1%
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology top 10%
- Artificial Intelligence top 2%
- Experimental and Cognitive Psychology top 5%
- Co-authors
- Walter PittsJerome Y. LettvinHumberto R. MaturanaD. M. MACKAYC. MusèsA. S. IberallWilliam F. PickardPatrick D. Wall
- Topics
- Neuroscience and Neural Engineering (5 papers)Photoreceptor and optogenetics research (4 papers)Neural dynamics and brain function (4 papers)
- Partner nations
- United StatesUnited KingdomChile
In The Last Decade
Warren S. McCulloch
48 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 200
- Cognitive Neuroscience 1.6k
- Cellular and Molecular Neuroscience 1.0k
- Molecular Biology 786
- Artificial Intelligence 505
- Experimental and Cognitive Psychology 223
Countries citing papers authored by Warren S. McCulloch
This map shows the geographic impact of Warren S. McCulloch'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 Warren S. McCulloch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Warren S. McCulloch more than expected).
Fields of papers citing papers by Warren S. McCulloch
This network shows the impact of papers produced by Warren S. McCulloch. 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 Warren S. McCulloch. The network helps show where Warren S. McCulloch may publish in the future.
Co-authorship network of co-authors of Warren S. McCulloch
This figure shows the co-authorship network connecting the top 25 collaborators of Warren S. McCulloch. A scholar is included among the top collaborators of Warren S. McCulloch 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 Warren S. McCulloch. Warren S. McCulloch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | The stability of biological systems. | 0 |
| 2 | 1 | |
| 3 | 21 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | The Nervous System in Education. | 1 |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 10 | |
| 10 | 299 | |
| 11 | 116 | |
| 12 | 0 | |
| 13 | Anatomy and Physiology of Vision in the Frog (Rana pipiens)breakdown → | 611 |
| 14 | What the Frog's Eye Tells the Frog's Brainbreakdown → | 1145 |
| 15 | 74 | |
| 16 | 9 | |
| 17 | 21 | |
| 18 | 11 | |
| 19 | 2 | |
| 20 | 9 |
About Warren S. McCulloch
Warren S. McCulloch is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Computer Graphics and Computer-Aided Design, having authored 52 papers that have together received 3.7k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (5 papers), Photoreceptor and optogenetics research (4 papers) and Neural dynamics and brain function (4 papers). The work is most often cited by research in Cognitive Neuroscience (1.6k citations), Cellular and Molecular Neuroscience (1.0k citations) and History and Philosophy of Science (163 citations). Warren S. McCulloch has collaborated with scholars based in United States, United Kingdom and Chile. Frequent co-authors include Walter Pitts, Jerome Y. Lettvin, Humberto R. Maturana, D. M. MACKAY, C. Musès, A. S. Iberall, William F. Pickard, Patrick D. Wall, William L. Kilmer and M. Malone. Their work appears in journals such as Nature, Science and JAMA.
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.