Trinity B. Crapse

1.5k total citations
11 papers, 855 citations indexed

About

Trinity B. Crapse is a scholar working on Cognitive Neuroscience, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Trinity B. Crapse has authored 11 papers receiving a total of 855 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 2 papers in Molecular Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Trinity B. Crapse's work include Neural dynamics and brain function (9 papers), Visual perception and processing mechanisms (4 papers) and Neural and Behavioral Psychology Studies (4 papers). Trinity B. Crapse is often cited by papers focused on Neural dynamics and brain function (9 papers), Visual perception and processing mechanisms (4 papers) and Neural and Behavioral Psychology Studies (4 papers). Trinity B. Crapse collaborates with scholars based in United States and Hong Kong. Trinity B. Crapse's co-authors include Marc A. Sommer, Michele A. Basso, Hakwan Lau, Doris Y. Tsao, Sebastian Moeller, Le Chang and Piercesare Grimaldi and has published in prestigious journals such as Neuron, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Trinity B. Crapse

11 papers receiving 844 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Trinity B. Crapse United States 8 695 168 119 73 70 11 855
Samuel Evans United Kingdom 17 762 1.1× 48 0.3× 124 1.0× 47 0.6× 286 4.1× 28 990
Natasha Sigala United Kingdom 13 1.2k 1.8× 134 0.8× 92 0.8× 27 0.4× 148 2.1× 27 1.4k
Eve A. Isham United States 9 1.2k 1.7× 447 2.7× 97 0.8× 22 0.3× 111 1.6× 22 1.4k
Rafael S. Maior Brazil 19 602 0.9× 212 1.3× 320 2.7× 117 1.6× 138 2.0× 55 1.0k
Jumpei Matsumoto Japan 19 677 1.0× 207 1.2× 303 2.5× 85 1.2× 132 1.9× 66 1.2k
David M. Schneider United States 16 1.2k 1.7× 395 2.4× 114 1.0× 75 1.0× 121 1.7× 26 1.4k
James L. Ringo United States 16 784 1.1× 275 1.6× 77 0.6× 56 0.8× 72 1.0× 25 869
Claudio de’Sperati Italy 16 517 0.7× 65 0.4× 160 1.3× 68 0.9× 65 0.9× 47 706
Satoshi Eifuku Japan 19 975 1.4× 367 2.2× 83 0.7× 94 1.3× 136 1.9× 46 1.2k
Nobuya Sato Japan 15 478 0.7× 118 0.7× 274 2.3× 44 0.6× 98 1.4× 57 793

Countries citing papers authored by Trinity B. Crapse

Since Specialization
Citations

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

Fields of papers citing papers by Trinity B. Crapse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Trinity B. Crapse. 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 Trinity B. Crapse. The network helps show where Trinity B. Crapse may publish in the future.

Co-authorship network of co-authors of Trinity B. Crapse

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

All Works

11 of 11 papers shown
1.
Crapse, Trinity B., et al.. (2021). Variable Statistical Structure of Neuronal Spike Trains in Monkey Superior Colliculus. Journal of Neuroscience. 41(14). 3234–3253. 6 indexed citations
2.
Crapse, Trinity B., Hakwan Lau, & Michele A. Basso. (2018). A Role for the Superior Colliculus in Decision Criteria. Neuron. 97(1). 181–194.e6. 69 indexed citations
3.
Crapse, Trinity B., Hakwan Lau, & Michele A. Basso. (2018). A Role for the Superior Colliculus in Decision Criteria. SSRN Electronic Journal. 1 indexed citations
4.
Moeller, Sebastian, Trinity B. Crapse, Le Chang, & Doris Y. Tsao. (2017). The effect of face patch microstimulation on perception of faces and objects. Nature Neuroscience. 20(5). 743–752. 70 indexed citations
5.
Crapse, Trinity B. & Michele A. Basso. (2015). Insights into decision making using choice probability. Journal of Neurophysiology. 114(6). 3039–3049. 23 indexed citations
6.
Crapse, Trinity B. & Marc A. Sommer. (2012). Frontal Eye Field Neurons Assess Visual Stability Across Saccades. Journal of Neuroscience. 32(8). 2835–2845. 32 indexed citations
7.
Crapse, Trinity B. & Marc A. Sommer. (2010). Translation of a visual stimulus during a saccade is more detectable if it moves perpendicular, rather than parallel, to the saccade. Journal of Vision. 10(7). 521–521. 5 indexed citations
8.
Crapse, Trinity B. & Marc A. Sommer. (2009). Frontal Eye Field Neurons with Spatial Representations Predicted by Their Subcortical Input. Journal of Neuroscience. 29(16). 5308–5318. 44 indexed citations
9.
Crapse, Trinity B. & Marc A. Sommer. (2008). Corollary discharge circuits in the primate brain. Current Opinion in Neurobiology. 18(6). 552–557. 94 indexed citations
10.
Crapse, Trinity B. & Marc A. Sommer. (2008). Corollary discharge across the animal kingdom. Nature reviews. Neuroscience. 9(8). 587–600. 484 indexed citations
11.
Crapse, Trinity B. & Marc A. Sommer. (2008). The frontal eye field as a prediction map. Progress in brain research. 171. 383–390. 27 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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