Foram Kamdar

690 total citations · 1 hit paper
8 papers, 234 citations indexed

About

Foram Kamdar is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Foram Kamdar has authored 8 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Biomedical Engineering. Recurrent topics in Foram Kamdar's work include EEG and Brain-Computer Interfaces (8 papers), Neuroscience and Neural Engineering (4 papers) and Muscle activation and electromyography studies (3 papers). Foram Kamdar is often cited by papers focused on EEG and Brain-Computer Interfaces (8 papers), Neuroscience and Neural Engineering (4 papers) and Muscle activation and electromyography studies (3 papers). Foram Kamdar collaborates with scholars based in United States. Foram Kamdar's co-authors include Jaimie M. Henderson, Leigh R. Hochberg, Donald T. Avansino, Francis R. Willett, Krishna V. Shenoy, Shaul Druckmann, Chaofei Fan, Matthew F. Glasser, Erin M. Kunz and Eun Young Choi and has published in prestigious journals such as Nature, Nature Medicine and Nature Communications.

In The Last Decade

Foram Kamdar

5 papers receiving 231 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.

A high-performance speech neuroprosthesis

2023 217 citations Francis R. Willett, Erin M. Kunz et al. Nature profile →

Peers

Countries citing papers authored by Foram Kamdar

Since Specialization

Citations

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

Fields of papers citing papers by Foram Kamdar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Foram Kamdar

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

All Works

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8 of 8 papers shown

#	Work	Indexed citations
1	A high-performance brain–computer interface for finger decoding and quadcopter game control in an individual with paralysis 2025 ·Nature Medicine ·Matthew S. Willsey, Nishal P. Shah, Donald T. Avansino, (unknown), Ryan M. Jamiolkowski, Foram Kamdar, Leigh R. Hochberg, Francis R. Willett, Jaimie M. Henderson	8
2	Pseudo-linear summation explains neural geometry of multi-finger movements in human premotor cortex 2025 ·Nature Communications ·Nishal P. Shah, Donald T. Avansino, Foram Kamdar, Claire Nicolas, (unknown), Carlos E. Vargas-Irwin, Leigh R. Hochberg, Chethan Pandarinath, Krishna V. Shenoy, Francis R. Willett, Jaimie M. Henderson	1
3	Long-term unsupervised recalibration of cursor-based intracortical brain–computer interfaces using a hidden Markov model 2025 ·Nature Biomedical Engineering ·Guy H Wilson, (unknown), Foram Kamdar, Donald T. Avansino, (unknown), Ralph Gross, Tommy Hosman, (unknown), (unknown), Leigh R. Hochberg, John D. Simeral, Krishna V. Shenoy, Shaul Druckmann, Jaimie M. Henderson, Francis R. Willett	0
4	Gesture encoding in human left precentral gyrus neuronal ensembles 2025 ·Communications Biology ·Carlos E. Vargas-Irwin, Tommy Hosman, (unknown), (unknown), John D. Simeral, (unknown), (unknown), Claire Nicolas, Nishal P. Shah, Donald T. Avansino, Foram Kamdar, Ziv M. Williams, Jaimie M. Henderson, Leigh R. Hochberg	0
5	Measuring instability in chronic human intracortical neural recordings towards stable, long-term brain-computer interfaces 2024 ·Communications Biology ·(unknown), (unknown), Tommy Hosman, Guy H Wilson, (unknown), Foram Kamdar, Jaimie M. Henderson, John D. Simeral, Carlos E. Vargas-Irwin, (unknown), Leigh R. Hochberg	2
6	A high-performance speech neuroprosthesis breakdown → 2023 ·Nature ·Francis R. Willett, Erin M. Kunz, Chaofei Fan, Donald T. Avansino, Guy H Wilson, Eun Young Choi, Foram Kamdar, Matthew F. Glasser, Leigh R. Hochberg, Shaul Druckmann, Krishna V. Shenoy, Jaimie M. Henderson	217
7	Plug-and-Play Stability for Intracortical Brain-Computer Interfaces: A One-Year Demonstration of Seamless Brain-to-Text Communication 2023 ·Donald T. Avansino, Chaofei Fan, (unknown), Jaimie M. Henderson, (unknown), Foram Kamdar, (unknown), Francis R. Willett, Guy H Wilson	0
8	A brain-computer typing interface using finger movements 2023 ·PubMed ·Nishal P. Shah, Matthew S. Willsey, (unknown), Foram Kamdar, Donald T. Avansino, Leigh R. Hochberg, Krishna V. Shenoy, Jaimie M. Henderson	6

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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