Kevin DeSimone

672 total citations
10 papers, 478 citations indexed

About

Kevin DeSimone is a scholar working on Cognitive Neuroscience, Molecular Biology and Developmental Biology. According to data from OpenAlex, Kevin DeSimone has authored 10 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 1 paper in Molecular Biology and 1 paper in Developmental Biology. Recurrent topics in Kevin DeSimone's work include Visual perception and processing mechanisms (7 papers), Neural dynamics and brain function (6 papers) and Functional Brain Connectivity Studies (2 papers). Kevin DeSimone is often cited by papers focused on Visual perception and processing mechanisms (7 papers), Neural dynamics and brain function (6 papers) and Functional Brain Connectivity Studies (2 papers). Kevin DeSimone collaborates with scholars based in Canada, United States and Australia. Kevin DeSimone's co-authors include Sabine Kästner, Keith A. Schneider, Mark A. Pinsk, Charles G. Gross, Tirin Moore, Christina S. Konen, Sara M. Szczepanski, Kevin S. Weiner, Joseph D. Viviano and Larissa McKetton and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Journal of Neurophysiology.

In The Last Decade

Kevin DeSimone

10 papers receiving 475 citations

Peers

Kevin DeSimone

CN

ECP

SP

CVPR

RNMI

Nina M. Hanning Germany

Peter F. Schade United States

Shih-Pi Ku Germany

Martin Szinte France

Lisa R. Betts Canada

Michael A. Steinmetz United States

Eckhart Hall United States

Michael Niedeggen Germany

Sabira K. Mannan United Kingdom

Puiu F. Balan United States

Nina M. Hanning Germany

Kevin DeSimone

388 ×0.9

CN

46 ×0.7

ECP

37 ×0.6

SP

44 ×1.0

CVPR

26 ×0.9

RNMI

Citations per year, relative to Kevin DeSimone Kevin DeSimone (= 1×) peers Nina M. Hanning

Countries citing papers authored by Kevin DeSimone

Since Specialization

Citations

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

Fields of papers citing papers by Kevin DeSimone

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin DeSimone

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

All Works

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10 of 10 papers shown

1.

Rahmati, Masih, Kevin DeSimone, Clayton E. Curtis, & Kartik K. Sreenivasan. (2020). Spatially Specific Working Memory Activity in the Human Superior Colliculus. Journal of Neuroscience. 40(49). 9487–9495. 16 indexed citations

2.

DeSimone, Kevin, et al.. (2020). Number Adaptation Can Be Dissociated From Density Adaptation. Psychological Science. 31(11). 1470–1474. 7 indexed citations

3.

McKetton, Larissa, Kevin DeSimone, & Keith A. Schneider. (2019). Larger Auditory Cortical Area and Broader Frequency Tuning Underlie Absolute Pitch. Journal of Neuroscience. 39(15). 2930–2937. 17 indexed citations

4.

DeSimone, Kevin & Keith A. Schneider. (2019). Distinguishing Hemodynamics from Function in the Human LGN Using a Temporal Response Model. Vision. 3(2). 27–27. 4 indexed citations

5.

DeSimone, Kevin, Ariel Rokem, & Keith A. Schneider. (2016). popeye: a population receptive field estimation tool. The Journal of Open Source Software. 1(8). 103–103. 6 indexed citations

6.

DeSimone, Kevin, Joseph D. Viviano, & Keith A. Schneider. (2015). Population Receptive Field Estimation Reveals New Retinotopic Maps in Human Subcortex. Journal of Neuroscience. 35(27). 9836–9847. 38 indexed citations

7.

Kelly, Krista R., Kevin DeSimone, Brenda L. Gallie, & Jennifer K. E. Steeves. (2014). Increased cortical surface area and gyrification following long-term survival from early monocular enucleation. NeuroImage Clinical. 7. 297–305. 16 indexed citations

8.

Viviano, Joseph D., Kevin DeSimone, & Keith A. Schneider. (2012). Intrinsic functional connectivity of the humans lateral geniculate nucleus. Journal of Vision. 12(9). 382–382. 2 indexed citations

9.

Kästner, Sabine, Kevin DeSimone, Christina S. Konen, et al.. (2007). Topographic Maps in Human Frontal Cortex Revealed in Memory-Guided Saccade and Spatial Working-Memory Tasks. Journal of Neurophysiology. 97(5). 3494–3507. 163 indexed citations

10.

Pinsk, Mark A., Kevin DeSimone, Tirin Moore, Charles G. Gross, & Sabine Kästner. (2005). Representations of faces and body parts in macaque temporal cortex: A functional MRI study. Proceedings of the National Academy of Sciences. 102(19). 6996–7001. 209 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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