Ralph M. Siegel
- Cognitive Neuroscience top 0.5%
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Social Psychology top 5%
- Experimental and Cognitive Psychology top 5%
- Co-authors
- Greg K. EssickRichard A. AndersenRA AndersenG. K. EssickC. AsanumaKathleen AndersonMilena RaffiGábor Jandó
- Topics
- Visual perception and processing mechanisms (24 papers)Neural dynamics and brain function (18 papers)Neural Networks and Applications (5 papers)
- Journals
- NatureScienceJournal of Neuroscience
- Partner nations
- United StatesCanadaIreland
In The Last Decade
Ralph M. Siegel
39 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Cognitive Neuroscience 2.4k
- Cellular and Molecular Neuroscience 372
- Molecular Biology 260
- Social Psychology 245
- Experimental and Cognitive Psychology 218
Countries citing papers authored by Ralph M. Siegel
This map shows the geographic impact of Ralph M. Siegel'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 Ralph M. Siegel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ralph M. Siegel more than expected).
Fields of papers citing papers by Ralph M. Siegel
This network shows the impact of papers produced by Ralph M. Siegel. 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 Ralph M. Siegel. The network helps show where Ralph M. Siegel may publish in the future.
Co-authorship network of co-authors of Ralph M. Siegel
This figure shows the co-authorship network connecting the top 25 collaborators of Ralph M. Siegel. A scholar is included among the top collaborators of Ralph M. Siegel 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 Ralph M. Siegel. Ralph M. Siegel 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 | 13 | |
| 3 | 27 | |
| 4 | 17 | |
| 5 | 13 | |
| 6 | 38 | |
| 7 | 21 | |
| 8 | 7 | |
| 9 | 9 | |
| 10 | 13 | |
| 11 | 31 | |
| 12 | 73 | |
| 13 | 7 | |
| 14 | 13 | |
| 15 | 20 | |
| 16 | Non-linear dynamical system theory and primary visual cortical processing | 5 |
| 17 | 5 | |
| 18 | 112 | |
| 19 | Discovering Structure from Motion in Monkey, Man and Machine | 1 |
| 20 | Encoding of Spatial Location by Posterior Parietal Neuronsbreakdown → | 1068 |
About Ralph M. Siegel
Ralph M. Siegel is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics, having authored 40 papers that have together received 2.7k indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (24 papers), Neural dynamics and brain function (18 papers) and Neural Networks and Applications (5 papers). The work is most often cited by research in Cognitive Neuroscience (2.4k citations), Neurology (215 citations) and Cellular and Molecular Neuroscience (372 citations). Ralph M. Siegel has collaborated with scholars based in United States, Canada and Ireland. Frequent co-authors include Greg K. Essick, Richard A. Andersen, RA Andersen, G. K. Essick, C. Asanuma, Kathleen Anderson, Richard A. Andersen, Milena Raffi, Gábor Jandó and Barbara Heider. Their work appears in journals such as Nature, Science and Journal of Neuroscience.
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.