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How has Pranav Mamidanna's publication output changed over time?
ScholarIQpublication output · 2018–2024
Output declined33% over the shown period — from 3 works in 2018 to 2 in 2024.
3
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2
1
1
1
2
2018201920202021202220232024
What are the most-cited papers on Pranav Mamidanna?
ScholarIQmost cited works
DeepLabCut: markerless pose estimation of user-defined body parts with deep learning
Alexander Mathis, Pranav Mamidanna, Kevin M. Cury, Taiga Abe, Venkatesh N. Murthy, Mackenzie Weygandt Mathis, Matthias Bethge
S2298632. 20185,680 CitationsOPEN ACCESS
Markerless tracking of user-defined features with deep learning
Alexander Mathis, Pranav Mamidanna, Taiga Abe, Kevin M. Cury, Venkatesh N. Murthy, Mackenzie Weygandt Mathis, Matthias Bethge
arXiv (Cornell University). 201831 CitationsOPEN ACCESS
Action representation in the mouse parieto-frontal network
Tuçe Tombaz, Benjamin Dunn, Karoline Hovde, Ryan John Cubero, Bartul Mimica, Pranav Mamidanna, Yasser Roudi, Jonathan R. Whitlock
Scientific Reports. 202027 CitationsOPEN ACCESS
Contrasting action and posture coding with hierarchical deep neural network models of proprioception
Kai Sandbrink, Pranav Mamidanna, Claudio Michaelis, Matthias Bethge, Mackenzie Weygandt Mathis, Alexander Mathis
S1336409049. 202326 CitationsOPEN ACCESS
Estimating speed-accuracy trade-offs to evaluate and understand closed-loop prosthesis interfaces
Pranav Mamidanna, Jakob Lund Dideriksen, Strahinja Došen
Journal of Neural Engineering. 202216 CitationsOPEN ACCESS
Related on ScholarIQ
Imperial Valley College
Institution
DeepLabCut: markerless pose estimation of user-defined body parts with deep learning
Paper
Markerless tracking of user-defined features with deep learning
Paper
Action representation in the mouse parieto-frontal network
Paper
Contrasting action and posture coding with hierarchical deep neural network models of proprioception
Paper
Estimating speed-accuracy trade-offs to evaluate and understand closed-loop prosthesis interfaces
Paper