Evan Schaffer

844 total citations
12 papers, 448 citations indexed

About

Evan Schaffer is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Evan Schaffer has authored 12 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 5 papers in Cognitive Neuroscience and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Evan Schaffer's work include Visual perception and processing mechanisms (4 papers), Neural dynamics and brain function (3 papers) and Neurobiology and Insect Physiology Research (3 papers). Evan Schaffer is often cited by papers focused on Visual perception and processing mechanisms (4 papers), Neural dynamics and brain function (3 papers) and Neurobiology and Insect Physiology Research (3 papers). Evan Schaffer collaborates with scholars based in United States, Switzerland and Netherlands. Evan Schaffer's co-authors include Ian M. Finn, David Ferster, Hirofumi Ozeki, Kenneth D. Miller, L. F. Abbott, Srdjan Ostojic, Richard Axel, Gloria B. Choi, Frank H. Durgin and Elizabeth M. C. Hillman and has published in prestigious journals such as Nature Communications, Neuron and PLoS Computational Biology.

In The Last Decade

Evan Schaffer

10 papers receiving 445 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Evan Schaffer United States 7 370 256 60 54 34 12 448
Bruss Lima Brazil 15 878 2.4× 405 1.6× 52 0.9× 33 0.6× 46 1.4× 40 950
Hagai Agmon-Snir Israel 4 394 1.1× 282 1.1× 124 2.1× 90 1.7× 54 1.6× 6 508
Michiel W. H. Remme Germany 14 484 1.3× 390 1.5× 63 1.1× 89 1.6× 74 2.2× 26 630
Daniel Millman United States 7 231 0.6× 181 0.7× 36 0.6× 48 0.9× 60 1.8× 8 324
Ross Snider United States 7 450 1.2× 208 0.8× 42 0.7× 48 0.9× 36 1.1× 17 564
Bruno Dagnino Netherlands 6 859 2.3× 289 1.1× 42 0.7× 38 0.7× 28 0.8× 6 918
Jason M. Samonds United States 13 523 1.4× 340 1.3× 46 0.8× 16 0.3× 31 0.9× 28 579
Michael Denker Germany 14 449 1.2× 321 1.3× 100 1.7× 21 0.4× 63 1.9× 38 630
Yonatan Katz Israel 9 425 1.1× 321 1.3× 47 0.8× 36 0.7× 31 0.9× 16 486
Guy Doron Germany 11 366 1.0× 281 1.1× 33 0.6× 26 0.5× 39 1.1× 12 434

Countries citing papers authored by Evan Schaffer

Since Specialization
Citations

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

Fields of papers citing papers by Evan Schaffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Evan Schaffer. 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 Evan Schaffer. The network helps show where Evan Schaffer may publish in the future.

Co-authorship network of co-authors of Evan Schaffer

This figure shows the co-authorship network connecting the top 25 collaborators of Evan Schaffer. A scholar is included among the top collaborators of Evan Schaffer 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 Evan Schaffer. Evan Schaffer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
2.
Schaffer, Evan, Neeli Mishra, Matthew R Whiteway, et al.. (2023). The spatial and temporal structure of neural activity across the fly brain. Nature Communications. 14(1). 5572–5572. 18 indexed citations
3.
Schaffer, Evan, et al.. (2022). Mechanical-Based Design for Airfoil Structural Morphing. 1–5.
4.
Wu, Anqi, E. Kelly Buchanan, Matthew R Whiteway, et al.. (2020). Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose tracking. Neural Information Processing Systems. 33. 6040–6052. 2 indexed citations
5.
Schaffer, Evan, et al.. (2018). Odor Perception on the Two Sides of the Brain: Consistency Despite Randomness. Neuron. 98(4). 736–742.e3. 37 indexed citations
6.
Li, Wenze, Venkatakaushik Voleti, Evan Schaffer, et al.. (2016). SCAPE Microscopy for High Speed, 3D Whole-Brain Imaging in Drosophila Melanogaster. BTu4D.3–BTu4D.3. 7 indexed citations
7.
Schaffer, Evan, Srdjan Ostojic, & L. F. Abbott. (2013). A Complex-Valued Firing-Rate Model That Approximates the Dynamics of Spiking Networks. PLoS Computational Biology. 9(10). e1003301–e1003301. 35 indexed citations
8.
Schaffer, Evan & Frank H. Durgin. (2010). Visual-vestibular dissociation: Differential sensitivity to acceleration and velocity. Journal of Vision. 5(8). 332–332. 2 indexed citations
9.
Ozeki, Hirofumi, Ian M. Finn, Evan Schaffer, Kenneth D. Miller, & David Ferster. (2009). Inhibitory Stabilization of the Cortical Network Underlies Visual Surround Suppression. Neuron. 62(4). 578–592. 317 indexed citations
10.
Ozeki, Hirofumi, Ian M. Finn, Evan Schaffer, Kenneth D. Miller, & David Ferster. (2009). Inhibitory stabilization of the cortical network underlies visual surround suppression. Neuroscience Research. 65. S205–S205. 13 indexed citations
11.
Durgin, Frank H., et al.. (2005). The perception of linear self-motion. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5666. 503–503. 14 indexed citations
12.
Schaffer, Evan, et al.. (1988). UNIX relational database management : application development in the UNIX environment. Prentice Hall eBooks. 3 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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