Jason T. Ritt

1.5k citations
22 papers · 1.1k indexed · h-index 11

Jason T. Ritt

21 papers receiving 1.0k citations

Peers

Jason T. Ritt
Comparison fields: 5 of 100
  • Cognitive Neuroscience 640
  • Cellular and Molecular Neuroscience 458
  • Oceanography 176
  • Environmental Chemistry 72
  • Statistical and Nonlinear Physics 85
Replace Jiping Zhang with:
Jiping Zhang China
Masataka Watanabe Japan
Paola Lombardo Italy
Gaby Schneider Germany
Kunal Ghosh India
Clifford H. Keller United States
Mark Mazurek United States
Andrew Martin Australia
C. Shen China
Takashi Yoshida Japan
Jason T. Ritt relative to Jiping Zhang China Jiping Zhang's profile →
Citations per field
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Jiping Zhang · 1×
Citations per year

Countries citing papers authored by Jason T. Ritt

Since Specialization
Citations

This map shows the geographic impact of Jason T. Ritt'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 Jason T. Ritt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason T. Ritt more than expected).

Fields of papers citing papers by Jason T. Ritt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason T. Ritt. 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 Jason T. Ritt. The network helps show where Jason T. Ritt may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Jason T. Ritt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jason T. Ritt Line = papers co-authored together Jason T. Ritt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20244
2 20241
3 20241
4 20231
5 20176
6 201610
7 20168
8 201616
9 201511
10 20142
11 201331
12 20134
13 20132
14 201111
15 2011229
16 2008165
17 2004110
18 200334
19 199927
20 199891

About Jason T. Ritt

Jason T. Ritt is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Statistical and Nonlinear Physics, Sensory Systems and Biophysics, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neural dynamics and brain function (15 papers), Neuroscience and Neural Engineering (9 papers), Photoreceptor and optogenetics research (8 papers), stochastic dynamics and bifurcation (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Neurobiology and Insect Physiology Research (3 papers), Nonlinear Dynamics and Pattern Formation (3 papers) and EEG and Brain-Computer Interfaces (2 papers). The work is most often cited by research in Cognitive Neuroscience (640 citations), Cellular and Molecular Neuroscience (458 citations), Oceanography (176 citations), Environmental Chemistry (72 citations) and Statistical and Nonlinear Physics (85 citations). Jason T. Ritt has collaborated with scholars based in United States and Sweden. Frequent co-authors include Christopher I. Moore, Tyler J. Goepfert, Mak A. Saito, Mark L. Andermann, Joshua H. Siegle, Michael M. Halassa, Jonathan T. Ting, Guoping Feng, Nancy Kopell and ShiNung Ching. Their work appears in journals such as Journal of Neuroscience, eLife, Neuron, Frontiers in Neural Circuits and Limnology and Oceanography.

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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