Ralph M. Siegel

3.6k total citations · 2 hit papers
40 papers, 2.7k citations indexed

About

Ralph M. Siegel is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Ralph M. Siegel has authored 40 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cognitive Neuroscience, 8 papers in Cellular and Molecular Neuroscience and 6 papers in Artificial Intelligence. Recurrent topics in Ralph M. Siegel's work include Visual perception and processing mechanisms (24 papers), Neural dynamics and brain function (18 papers) and Neural Networks and Applications (5 papers). Ralph M. Siegel is often cited by papers focused on Visual perception and processing mechanisms (24 papers), Neural dynamics and brain function (18 papers) and Neural Networks and Applications (5 papers). Ralph M. Siegel collaborates with scholars based in United States, Ireland and Canada. Ralph M. Siegel's co-authors include Richard A. Andersen, Greg K. Essick, G. K. Essick, RA Andersen, C. Asanuma, Richard A. Andersen, Kathleen Anderson, Milena Raffi, Gábor Jandó and Barbara Heider and has published in prestigious journals such as Nature, Science and Journal of Neuroscience.

In The Last Decade

Ralph M. Siegel

39 papers receiving 2.6k citations

Hit Papers

Encoding of Spatial Location by Posterior Parietal Neurons 1985 2026 1998 2012 1985 1990 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ralph M. Siegel United States 17 2.4k 372 260 245 218 40 2.7k
Doug P. Hanes United States 15 3.7k 1.6× 495 1.3× 275 1.1× 196 0.8× 319 1.5× 17 4.0k
Peter Janssen Belgium 29 2.6k 1.1× 476 1.3× 185 0.7× 462 1.9× 265 1.2× 90 3.2k
Alexander C. Huk United States 26 3.5k 1.4× 570 1.5× 245 0.9× 256 1.0× 359 1.6× 64 3.7k
Tatiana Pasternak United States 25 3.2k 1.3× 757 2.0× 290 1.1× 196 0.8× 224 1.0× 48 3.4k
Emmanuel Procyk France 27 2.3k 1.0× 398 1.1× 109 0.4× 229 0.9× 189 0.9× 62 2.7k
Michael A. Paradiso United States 23 2.2k 0.9× 810 2.2× 369 1.4× 334 1.4× 198 0.9× 47 2.9k
Naotaka Fujii Japan 31 2.3k 0.9× 840 2.3× 139 0.5× 363 1.5× 179 0.8× 57 2.9k
Lucia M. Vaina United States 30 2.7k 1.1× 308 0.8× 152 0.6× 625 2.6× 327 1.5× 105 3.2k
Jochen Ditterich United States 23 2.0k 0.8× 257 0.7× 95 0.4× 153 0.6× 156 0.7× 42 2.3k
David C. Bradley United States 20 3.0k 1.3× 663 1.8× 439 1.7× 293 1.2× 291 1.3× 32 3.6k

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 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

20 of 20 papers shown
1.
Heider, Barbara & Ralph M. Siegel. (2013). Optical imaging of visually guided reaching in macaque posterior parietal cortex. Brain Structure and Function. 219(2). 495–509. 2 indexed citations
2.
Heider, Barbara, et al.. (2012). Two-photon scanning microscopy of in vivo sensory responses of cortical neurons genetically encoded with a fluorescent voltage sensor in rat. Frontiers in Neural Circuits. 6. 15–15. 13 indexed citations
3.
Raffi, Milena & Ralph M. Siegel. (2007). A Functional Architecture of Optic Flow in the Inferior Parietal Lobule of the Behaving Monkey. PLoS ONE. 2(2). e200–e200. 27 indexed citations
4.
Siegel, Ralph M., Jeng‐Ren Duann, Tzyy‐Ping Jung, & Terrence J. Sejnowski. (2006). Spatiotemporal Dynamics of the Functional Architecture for Gain Fields in Inferior Parietal Lobule of Behaving Monkey. Cerebral Cortex. 17(2). 378–390. 13 indexed citations
5.
Heider, Barbara, et al.. (2006). Attentional Modulation of Receptive Field Structure in Area 7a of the Behaving Monkey. Cerebral Cortex. 17(8). 1841–1857. 17 indexed citations
6.
Raffi, Milena & Ralph M. Siegel. (2005). Functional Architecture of Spatial Attention in the Parietal Cortex of the Behaving Monkey. Journal of Neuroscience. 25(21). 5171–5186. 38 indexed citations
7.
Siegel, Ralph M. & Edward M. Callaway. (2004). Francis Crick's Legacy for Neuroscience: Between the α and the Ω. PLoS Biology. 2(12). e419–e419. 7 indexed citations
8.
Siegel, Ralph M. & Heather L. Read. (2001). Deterministic dynamics emerging from a cortical functional architecture. Neural Networks. 14(6-7). 697–713. 9 indexed citations
9.
Anderson, Kathleen & Ralph M. Siegel. (1998). Lack of selectivity for simple shapes defined by motion and luminance in STPa of the behaving macaque. Neuroreport. 9(9). 2063–2070. 31 indexed citations
10.
Siegel, Ralph M.. (1998). Representation of Visual Space in Area 7a Neurons Using the Center of Mass Equation. Journal of Computational Neuroscience. 5(4). 365–381. 13 indexed citations
11.
Jandó, Gábor, Ralph M. Siegel, Zsolt Horváth, & György Buzsáki. (1993). Pattern recognition of the electroencephalogram by artificial neural networks. Electroencephalography and Clinical Neurophysiology. 86(2). 100–109. 73 indexed citations
12.
Stiles, Joan, et al.. (1993). Infant use of relative motion as information for form: Evidence for spatiotemporal integration of complex motion displays. Perception & Psychophysics. 53(2). 190–199. 7 indexed citations
13.
Siegel, Ralph M., et al.. (1993). Models of the temporal dynamics of visual processing. Journal of Statistical Physics. 70(1-2). 297–308. 13 indexed citations
14.
Siegel, Ralph M., et al.. (1992). A decoding problem in dynamics and in number theory. Chaos An Interdisciplinary Journal of Nonlinear Science. 2(4). 473–493. 20 indexed citations
15.
Siegel, Ralph M.. (1991). Non-linear dynamical system theory and primary visual cortical processing. MIT Press eBooks. 385–395. 5 indexed citations
16.
Ratzlaff, E. & Ralph M. Siegel. (1990). A workstation interface for measuring interspike intervals. Journal of Neuroscience Methods. 35(3). 195–201. 5 indexed citations
17.
Siegel, Ralph M. & R. I. Birks. (1988). A slow potassium conductance after action potential bursts in rabbit vagal C fibers. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 254(3). R443–R452. 3 indexed citations
18.
Siegel, Ralph M. & Richard A. Andersen. (1988). Perception of three-dimensional structure from motion in monkey and man. Nature. 331(6153). 259–261. 112 indexed citations
19.
Siegel, Ralph M.. (1987). Discovering Structure from Motion in Monkey, Man and Machine. CogPrints (University of Southampton). 701–708. 1 indexed citations
20.
Andersen, Richard A., Greg K. Essick, & Ralph M. Siegel. (1985). Encoding of Spatial Location by Posterior Parietal Neurons. Science. 230(4724). 456–458. 1068 indexed citations breakdown →

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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