William E. Skaggs

8.5k total citations · 3 hit papers
35 papers, 5.8k citations indexed

About

William E. Skaggs is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Computer Networks and Communications. According to data from OpenAlex, William E. Skaggs has authored 35 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cognitive Neuroscience, 25 papers in Cellular and Molecular Neuroscience and 3 papers in Computer Networks and Communications. Recurrent topics in William E. Skaggs's work include Memory and Neural Mechanisms (25 papers), Neuroscience and Neuropharmacology Research (24 papers) and Neural dynamics and brain function (14 papers). William E. Skaggs is often cited by papers focused on Memory and Neural Mechanisms (25 papers), Neuroscience and Neuropharmacology Research (24 papers) and Neural dynamics and brain function (14 papers). William E. Skaggs collaborates with scholars based in United States, United Kingdom and Italy. William E. Skaggs's co-authors include Bruce L. McNaughton, Carol A. Barnes, Matthew A. Wilson, Katalin M. Gothard, Misha Tsodyks, Terrence J. Sejnowski, James Knierim, Arthur T. Winfree, Wolfgang Jahnke and Jason L. Gerrard and has published in prestigious journals such as Science, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

William E. Skaggs

35 papers receiving 5.7k citations

Hit Papers

Theta phase precession in hippocampal neuronal population... 1996 2026 2006 2016 1996 1996 1996 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
William E. Skaggs United States 23 5.2k 4.2k 485 435 286 35 5.8k
Alessandro Treves Italy 45 8.8k 1.7× 5.3k 1.3× 670 1.4× 631 1.5× 185 0.6× 143 10.0k
Francesco P. Battaglia Netherlands 31 5.9k 1.1× 3.4k 0.8× 366 0.8× 348 0.8× 176 0.6× 80 6.8k
Jozsef Csicsvari United States 41 9.8k 1.9× 9.0k 2.2× 733 1.5× 292 0.7× 176 0.6× 59 11.4k
Ádám Kepecs United States 38 5.0k 0.9× 3.2k 0.8× 326 0.7× 687 1.6× 123 0.4× 65 6.8k
Marlene Bartos Germany 31 3.7k 0.7× 4.0k 1.0× 663 1.4× 165 0.4× 122 0.4× 61 5.4k
Martin Deschênes Canada 55 7.0k 1.3× 6.8k 1.6× 553 1.1× 500 1.1× 143 0.5× 118 9.4k
Torkel Hafting Norway 19 5.9k 1.1× 4.9k 1.2× 552 1.1× 591 1.4× 624 2.2× 33 7.2k
John K. Chapin United States 34 4.7k 0.9× 4.1k 1.0× 499 1.0× 277 0.6× 85 0.3× 85 6.3k
Anthony M. Zador United States 47 6.9k 1.3× 4.6k 1.1× 465 1.0× 774 1.8× 141 0.5× 90 9.6k
Kevan A Martin Switzerland 48 8.7k 1.7× 6.5k 1.6× 358 0.7× 222 0.5× 129 0.5× 118 10.3k

Countries citing papers authored by William E. Skaggs

Since Specialization
Citations

This map shows the geographic impact of William E. Skaggs'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 William E. Skaggs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William E. Skaggs more than expected).

Fields of papers citing papers by William E. Skaggs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William E. Skaggs. 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 William E. Skaggs. The network helps show where William E. Skaggs may publish in the future.

Co-authorship network of co-authors of William E. Skaggs

This figure shows the co-authorship network connecting the top 25 collaborators of William E. Skaggs. A scholar is included among the top collaborators of William E. Skaggs 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 William E. Skaggs. William E. Skaggs 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.
Skaggs, William E., et al.. (2016). The Cerebellum. SHILAP Revista de lepidopterología. 3(1). 2 indexed citations
2.
Skaggs, William E.. (2014). Fear of Holes. Scientific American Mind. 25(2). 12–12. 14 indexed citations
3.
Maurer, Andrew P., Sara N. Burke, P. Lipa, William E. Skaggs, & Carol A. Barnes. (2011). Greater running speeds result in altered hippocampal phase sequence dynamics. Hippocampus. 22(4). 737–747. 42 indexed citations
4.
Alexander, Gene E., Kewei Chen, Tricia L. Merkley, et al.. (2008). Age-Related Regional Network of Magnetic Resonance Imaging Gray Matter in the Rhesus Macaque. Journal of Neuroscience. 28(11). 2710–2718. 75 indexed citations
5.
Skaggs, William E., et al.. (2007). EEG Sharp Waves and Sparse Ensemble Unit Activity in the Macaque Hippocampus. Journal of Neurophysiology. 98(2). 898–910. 104 indexed citations
6.
Jarosiewicz, Beata & William E. Skaggs. (2004). Hippocampal Place Cells Are Not Controlled by Visual Input during the Small Irregular Activity State in the Rat. Journal of Neuroscience. 24(21). 5070–5077. 19 indexed citations
7.
Touretzky, David S., et al.. (2004). Deforming the hippocampal map. Hippocampus. 15(1). 41–55. 22 indexed citations
8.
Tsodyks, Misha, William E. Skaggs, Terrence J. Sejnowski, & Bruce L. McNaughton. (1998). Population dynamics and theta rhythm phase precession of hippocampal place cell firing: A spiking neuron model. Hippocampus. 6(3). 271–280. 269 indexed citations
9.
Skaggs, William E., Bruce L. McNaughton, Matthew A. Wilson, & Carol A. Barnes. (1996). Theta phase precession in hippocampal neuronal populations and the compression of temporal sequences. Hippocampus. 6(2). 149–172. 1183 indexed citations breakdown →
10.
Skaggs, William E. & Bruce L. McNaughton. (1996). Response : Replay of Hippocampal "Memories". Science. 274(5290). 1216–1217. 1 indexed citations
11.
Panzeri, Stefano, Gabriele E. M. Biella, Edmund T. Rolls, William E. Skaggs, & Alessandro Treves. (1996). Speed, noise, information and the graded nature of neuronal responses. Network Computation in Neural Systems. 7(2). 365–370. 33 indexed citations
12.
Treves, Alessandro, William E. Skaggs, & Carol A. Barnes. (1996). How much of the hippocampus can be explained by functional constraints?. Hippocampus. 6(6). 666–674. 20 indexed citations
13.
Panzeri, Stefano, Gabriele E. M. Biella, Edmund T. Rolls, William E. Skaggs, & Alessandro Treves. (1996). Speed, noise, information and the graded nature of neuronal responses. Network Computation in Neural Systems. 7(2). 365–370. 13 indexed citations
14.
Knierim, James, William E. Skaggs, Hemant S. Kudrimoti, & Bruce L. McNaughton. (1996). Vestibular and Visual Cues in Navigation: A Tale of Two Cities. Annals of the New York Academy of Sciences. 781(1). 399–406. 13 indexed citations
15.
Skaggs, William E.. (1995). Relations between the theta rhythm and activity patterns of hippocampal neurons.. UA Campus Repository (The University of Arizona). 14 indexed citations
16.
Markus, Etan J., et al.. (1994). Spatial information content and reliability of hippocampal CA1 neurons: Effects of visual input. Hippocampus. 4(4). 410–421. 280 indexed citations
17.
Skaggs, William E., Bruce L. McNaughton, & Katalin M. Gothard. (1992). An Information-Theoretic Approach to Deciphering the Hippocampal Code. Neural Information Processing Systems. 5. 1030–1037. 351 indexed citations
18.
Skaggs, William E. & Bruce L. McNaughton. (1992). Computational approaches to hippocampal function. Current Opinion in Neurobiology. 2(2). 209–211. 24 indexed citations
19.
Skaggs, William E. & Bruce L. McNaughton. (1992). Computational approaches to hippocampal function. Current Biology. 2(4). 198–198. 2 indexed citations
20.
Courtemanche, Marc, William E. Skaggs, & Arthur T. Winfree. (1990). Stable three-dimensional action potential circulation in the Fitzhugh-Nagumo model. Physica D Nonlinear Phenomena. 41(2). 173–182. 49 indexed citations

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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