Pavan Mehrotra

Stanford University

Papers

2

Total Citations

10

H-Index

2

About

Pavan Mehrotra is a researcher at the intersection of systems neuroscience and open-source tool development, with a primary focus on enabling realtime data processing for in-vivo neural studies. His most cited work, "An open-source realtime computational platform" (2018, 5 citations), addresses a critical bottleneck in systems neuroscience: the need for low-latency processing of behavioral events—such as limb movement—alongside neural signals like action potentials. By creating an accessible, realtime platform, Mehrotra empowers laboratories to monitor and respond to dynamic experimental conditions without relying on proprietary or expensive hardware. This contribution is particularly valuable for closed-loop experiments, where immediate feedback from neural or behavioral data is essential. While his citation count is modest, the work’s open-source nature amplifies its impact, providing a foundation for reproducible and scalable neuroscience research. Mehrotra’s efforts exemplify a commitment to democratizing computational tools, making advanced realtime analysis feasible for a broader community of scientists studying brain-behavior relationships in living models.

Research Focus

Key Achievements

2
H-Index
2
Papers
10
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
An open-source realtime computational platform (short WIP paper)
5 citations · 2018
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Stanford University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago