Pranav Mamidanna

5.4k citations
7 papers · 2.6k indexed · 1 hit paper · h-index 5
Topics
Muscle activation and electromyography studies (4 papers)Motor Control and Adaptation (2 papers)EEG and Brain-Computer Interfaces (2 papers)

In The Last Decade

Pranav Mamidanna

6 papers receiving 2.6k citations

Hit Papers

DeepLabCut: markerless pose estimation of user-defined bo...2018202620202023201850010001.5k2.0k2.5k

Peers

Pranav Mamidanna
Comparison fields: 5 of 136
  • Cognitive Neuroscience 969
  • Cellular and Molecular Neuroscience 758
  • Cell Biology 474
  • Social Psychology 354
  • Biomedical Engineering 313
Replace Taiga Abe with:
Taiga Abe United States
Kevin M. Cury United States
Mackenzie Weygandt Mathis United States
Victoria E. Abraira United States
Ilan Golani Israel
Alexander Mathis United States
Adam R. Kampff Portugal
Àlex Gómez-Marín Spain
David Eilam Israel
Binyamin Hochner Israel
Pranav Mamidanna relative to Taiga Abe United States Taiga Abe's profile →
Citations per field
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Taiga Abe · 1×
Citations per year

Countries citing papers authored by Pranav Mamidanna

Since Specialization
Citations

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

Fields of papers citing papers by Pranav Mamidanna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pranav Mamidanna

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

All Works

7 of 7 papers shown
#WorkIndexed citations
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2 3
3 8
4 10
5 8
6 13
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DeepLabCut: markerless pose estimation of user-defined body parts with deep learningbreakdown →
2550

About Pranav Mamidanna

Pranav Mamidanna is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Social Psychology, having authored 7 papers that have together received 2.6k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (4 papers), Motor Control and Adaptation (2 papers) and EEG and Brain-Computer Interfaces (2 papers). The work is most often cited by research in Cognitive Neuroscience (969 citations), Cellular and Molecular Neuroscience (758 citations) and Cell Biology (474 citations). Pranav Mamidanna has collaborated with scholars based in Denmark, United Kingdom and United States. Frequent co-authors include Mackenzie Weygandt Mathis, Matthias Bethge, Alexander Mathis, Venkatesh N. Murthy, Taiga Abe, Kevin M. Cury, Strahinja Došen, Jakob Lund Dideriksen, Benjamin Dunn and Jonathan R. Whitlock. Their work appears in journals such as Nature Neuroscience, Scientific Reports and eLife.

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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