Mayank Kabra

1.6k total citations · 1 hit paper
20 papers, 840 citations indexed

About

Mayank Kabra is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Mayank Kabra has authored 20 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 6 papers in Artificial Intelligence and 5 papers in Computer Networks and Communications. Recurrent topics in Mayank Kabra's work include Neural dynamics and brain function (3 papers), Coding theory and cryptography (3 papers) and Advanced Data Storage Technologies (3 papers). Mayank Kabra is often cited by papers focused on Neural dynamics and brain function (3 papers), Coding theory and cryptography (3 papers) and Advanced Data Storage Technologies (3 papers). Mayank Kabra collaborates with scholars based in India, United States and Switzerland. Mayank Kabra's co-authors include Kristin Branson, Alice A. Robie, Marta Rivera-Alba, Nakul Verma, D. Gowanlock R. Tervo, Mikhail Proskurin, Alla Y. Karpova, Yoav Freund, Sanjoy Dasgupta and Wendy Guo and has published in prestigious journals such as Nature, Cell and Nature Methods.

In The Last Decade

Mayank Kabra

15 papers receiving 826 citations

Hit Papers

JAABA: interactive machine learning for automatic annotat... 2012 2026 2016 2021 2012 100 200 300
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.

  1. JAABA: interactive machine learning for automatic annotation of animal behavior
    2012 378 citations Mayank Kabra, Alice A. Robie et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mayank Kabra India 7 356 264 127 108 103 20 840
Talmo Pereira United States 11 312 0.9× 253 1.0× 141 1.1× 162 1.5× 151 1.5× 17 1.1k
Diego Aldarondo United States 5 164 0.5× 134 0.5× 131 1.0× 104 1.0× 112 1.1× 7 642
Ralph E. Peterson United States 4 384 1.1× 394 1.5× 92 0.7× 48 0.4× 150 1.5× 6 911
Stan L. Pashkovski United States 7 248 0.7× 404 1.5× 124 1.0× 56 0.5× 145 1.4× 7 946
Scott W. Linderman United States 17 451 1.3× 344 1.3× 72 0.6× 36 0.3× 89 0.9× 42 972
Allen Cheung Australia 13 296 0.8× 296 1.1× 215 1.7× 182 1.7× 56 0.5× 20 774
Ann Kennedy United States 15 336 0.9× 320 1.2× 103 0.8× 88 0.8× 320 3.1× 27 1.1k
Alexander M. Chan United States 12 558 1.6× 518 2.0× 162 1.3× 234 2.2× 42 0.4× 15 1.2k
Mikhail Kislin Finland 12 207 0.6× 242 0.9× 71 0.6× 97 0.9× 76 0.7× 31 972
David G. C. Hildebrand United States 14 197 0.6× 220 0.8× 75 0.6× 60 0.6× 59 0.6× 23 988

Countries citing papers authored by Mayank Kabra

Since Specialization
Citations

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

Fields of papers citing papers by Mayank Kabra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayank Kabra

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

All Works

20 of 20 papers shown
1.
Kabra, Mayank, et al.. (2026). Long integer NTT execution on UPMEM-PIM for 128-bit secure fully homomorphic encryption. Future Generation Computer Systems. 180. 108386–108386.
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Siwanowicz, Igor, Christina Christoforou, Karen L Hibbard, et al.. (2024). Motor neurons generate pose-targeted movements via proprioceptive sculpting. Nature. 628(8008). 596–603. 9 indexed citations
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Kabra, Mayank, et al.. (2023). Evaluating Homomorphic Operations on a Real-World Processing-In-Memory System. 211–215. 14 indexed citations
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Kabra, Mayank, et al.. (2023). Design and Evaluation of multipliers for hardware accelerated on-chip EdDSA. 1–9. 4 indexed citations
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Kabra, Mayank, et al.. (2023). FastNTT: Design and Evaluation of Modular-Reduction Based Fast NTT Design on FPGA. 1–6. 3 indexed citations
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Kabra, Mayank, et al.. (2023). Wearable Haptic Braille Device for Enhancing Classroom Learning. 1–4. 1 indexed citations
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Kabra, Mayank, et al.. (2023). Design and Evaluation of Finite Field Multipliers Using Fast XNOR Cells. 163–166. 2 indexed citations
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Sauerbrei, Britton, Jian‐Zhong Guo, Jeremy D. Cohen, et al.. (2019). Cortical pattern generation during dexterous movement is input-driven. Nature. 577(7790). 386–391. 163 indexed citations
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Kabra, Mayank, Alice A. Robie, & Kristin Branson. (2015). Understanding classifier errors by examining influential neighbors. 3917–3925. 10 indexed citations
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Tervo, D. Gowanlock R., et al.. (2014). Behavioral Variability through Stochastic Choice and Its Gating by Anterior Cingulate Cortex. Cell. 159(1). 21–32. 182 indexed citations
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Kabra, Mayank, et al.. (2012). JAABA: interactive machine learning for automatic annotation of animal behavior. Nature Methods. 10(1). 64–67. 378 indexed citations breakdown →
20.
Freund, Yoav, Sanjoy Dasgupta, Mayank Kabra, & Nakul Verma. (2007). Learning the structure of manifolds using random projections. Neural Information Processing Systems. 20. 473–480. 70 indexed citations

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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