Ralph M. Siegel

3.6k citations
40 papers · 2.7k indexed · 2 hit papers · h-index 17

Ralph M. Siegel

39 papers receiving 2.6k citations

Hit Papers

Corticocortical connections of anatomically and physiolog...62519852026199820122505007501000

Peers

Ralph M. Siegel
Comparison fields: 5 of 115
  • Cognitive Neuroscience 2.4k
  • Neurology 215
  • Cellular and Molecular Neuroscience 372
  • Sensory Systems 83
  • Experimental and Cognitive Psychology 218
Replace Jochen Ditterich with:
Jochen Ditterich United States
Alexander C. Huk United States
Denis Fize France
Tatiana Pasternak United States
Michael A. Paradiso United States
Julio Martínez-Trujillo Canada
Simona Celebrini France
David C. Somers United States
D. Samuel Schwarzkopf United Kingdom
Kenneth Knoblauch France
Ralph M. Siegel relative to Jochen Ditterich United States Jochen Ditterich's profile →
Citations per field
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Jochen Ditterich · 1×
Citations per year

Countries citing papers authored by Ralph M. Siegel

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Ralph M. Siegel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ralph M. Siegel Line = papers co-authored together Ralph M. Siegel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20132
2 201213
3 200727
4 200617
5 200613
6 200538
7 200521
8 20047
9 20019
10 199813
11 199831
12 199373
13 19937
14 199313
15 199220
16
Non-linear dynamical system theory and primary visual cortical processing
19915
17 19905
18 1988112
19
Discovering Structure from Motion in Monkey, Man and Machine
19871
20
Encoding of Spatial Location by Posterior Parietal Neuronsbreakdown →
19851068

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), Neural Networks and Applications (5 papers), EEG and Brain-Computer Interfaces (5 papers), Motor Control and Adaptation (4 papers), Neurobiology and Insect Physiology Research (4 papers), Spatial Neglect and Hemispheric Dysfunction (3 papers) and Advanced Vision and Imaging (3 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.

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