Pranav Mamidanna

5.4k total citations · 1 hit paper
7 papers, 2.6k citations indexed

About

Pranav Mamidanna is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Social Psychology. According to data from OpenAlex, Pranav Mamidanna has authored 7 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 4 papers in Biomedical Engineering and 3 papers in Social Psychology. Recurrent topics in Pranav Mamidanna's work include Muscle activation and electromyography studies (4 papers), Motor Control and Adaptation (2 papers) and EEG and Brain-Computer Interfaces (2 papers). Pranav Mamidanna is often cited by papers focused on Muscle activation and electromyography studies (4 papers), Motor Control and Adaptation (2 papers) and EEG and Brain-Computer Interfaces (2 papers). Pranav Mamidanna collaborates with scholars based in Denmark, United Kingdom and United States. Pranav Mamidanna's co-authors include Matthias Bethge, Mackenzie Weygandt Mathis, Alexander Mathis, Taiga Abe, Kevin M. Cury, Venkatesh N. Murthy, Jakob Lund Dideriksen, Strahinja Došen, Yasser Roudi and Ryan John Cubero and has published in prestigious journals such as Nature Neuroscience, Scientific Reports and eLife.

In The Last Decade

Pranav Mamidanna

6 papers receiving 2.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

DeepLabCut: markerless pose estimation of user-defined body parts with deep learning

2018 2.5k citations Alexander Mathis, Pranav Mamidanna et al. Nature Neuroscience profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pranav Mamidanna Denmark	5	969	758	474	354	313	7	2.6k
Taiga Abe United States	3	963 1.0×	755 1.0×	481 1.0×	353 1.0×	294 0.9×	6	2.6k
Kevin M. Cury United States	4	994 1.0×	955 1.3×	474 1.0×	353 1.0×	373 1.2×	4	2.8k
Mackenzie Weygandt Mathis United States	15	1.6k 1.7×	1.1k 1.5×	791 1.7×	674 1.9×	540 1.7×	27	4.9k
Natalia A. Shevtsova United States	28	1.0k 1.1×	368 0.5×	632 1.3×	377 1.1×	622 2.0×	64	2.5k
Alexander Mathis United States	19	1.9k 1.9×	1.4k 1.8×	808 1.7×	785 2.2×	564 1.8×	37	5.3k
Victoria E. Abraira United States	16	777 0.8×	938 1.2×	277 0.6×	196 0.6×	350 1.1×	26	2.7k
Ilya A. Rybak United States	42	2.5k 2.6×	703 0.9×	922 1.9×	1.2k 3.3×	1.1k 3.6×	130	5.5k
Àlex Gómez-Marín Spain	19	779 0.8×	666 0.9×	152 0.3×	272 0.8×	111 0.4×	53	2.1k
Malcolm A. MacIver United States	29	906 0.9×	335 0.4×	216 0.5×	226 0.6×	289 0.9×	63	3.3k
Tanmay Nath United States	11	422 0.4×	227 0.3×	174 0.4×	174 0.5×	132 0.4×	18	1.4k

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

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Mamidanna, Pranav, Jimmy Jessen Nielsen, Federico Chiariotti, et al.. (2025). Closed-Loop Manual Control With Tactile or Visual Feedback Under Wireless Link Impairments. IEEE Transactions on Haptics. 18(2). 352–361.

2.

Chiariotti, Federico, Pranav Mamidanna, Čedomir Stefanović, et al.. (2024). The Future of Bionic Limbs: The untapped synergy of signal processing, control, and wireless connectivity. IEEE Signal Processing Magazine. 41(4). 58–75. 3 indexed citations

3.

Mamidanna, Pranav, et al.. (2023). Contrasting action and posture coding with hierarchical deep neural network models of proprioception. eLife. 12. 8 indexed citations

4.

Mamidanna, Pranav, Jakob Lund Dideriksen, & Strahinja Došen. (2022). Estimating speed-accuracy trade-offs to evaluate and understand closed-loop prosthesis interfaces. Journal of Neural Engineering. 19(5). 56012–56012. 10 indexed citations

5.

Mamidanna, Pranav, Jakob Lund Dideriksen, & Strahinja Došen. (2021). The impact of objective functions on control policies in closed-loop control of grasping force with a myoelectric prosthesis. Journal of Neural Engineering. 18(5). 56036–56036. 8 indexed citations

6.

Dunn, Benjamin, et al.. (2020). Action representation in the mouse parieto-frontal network. Scientific Reports. 10(1). 5559–5559. 13 indexed citations

7.

Mathis, Alexander, Pranav Mamidanna, Kevin M. Cury, et al.. (2018). DeepLabCut: markerless pose estimation of user-defined body parts with deep learning. Nature Neuroscience. 21(9). 1281–1289. 2550 indexed citations breakdown →

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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