Nikhil Mishra

63 total papers · 1.2k total citations
23 papers, 140 citations indexed

About

Nikhil Mishra is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Nikhil Mishra has authored 23 papers receiving a total of 140 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Nikhil Mishra's work include Domain Adaptation and Few-Shot Learning (2 papers), Advanced Memory and Neural Computing (2 papers) and Microfluidic and Bio-sensing Technologies (2 papers). Nikhil Mishra is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), Advanced Memory and Neural Computing (2 papers) and Microfluidic and Bio-sensing Technologies (2 papers). Nikhil Mishra collaborates with scholars based in India, United States and Czechia. Nikhil Mishra's co-authors include Pieter Abbeel, Xi Chen, Clemens Eppner, Igor Mordatch, Alak Majumder, Garima Bhardwaj, Ankit Dixit, Priyanka Singh, Arshad Javed and Ranvijay Singh and has published in prestigious journals such as Toxicon, Journal of Biomedical Optics and arXiv (Cornell University).

In The Last Decade

Nikhil Mishra

19 papers receiving 130 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nikhil Mishra 68 39 37 28 20 23 140
Wenhao Li 80 1.2× 68 1.7× 22 0.6× 21 0.8× 16 0.8× 20 190
Mohammad Ali Bagheri 87 1.3× 74 1.9× 44 1.2× 53 1.9× 11 0.6× 19 196
Tarun Agrawal 77 1.1× 66 1.7× 42 1.1× 26 0.9× 5 0.3× 26 250
Ryan Julian 107 1.6× 40 1.0× 89 2.4× 35 1.3× 20 1.0× 13 208
Raúl Gutiérrez 78 1.1× 13 0.3× 54 1.5× 22 0.8× 21 1.1× 28 217
Adrian Horzyk 78 1.1× 31 0.8× 57 1.5× 5 0.2× 17 0.8× 27 150
Tae Jong Choi 124 1.8× 45 1.2× 36 1.0× 14 0.5× 24 1.2× 30 226
Jacek M. Czerniak 75 1.1× 13 0.3× 24 0.6× 10 0.4× 18 0.9× 19 174
Junjie Li 156 2.3× 26 0.7× 41 1.1× 11 0.4× 6 0.3× 28 235
B. Paulchamy 34 0.5× 25 0.6× 21 0.6× 21 0.8× 7 0.3× 29 125

Countries citing papers authored by Nikhil Mishra

Since Specialization
Citations

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

Fields of papers citing papers by Nikhil Mishra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikhil Mishra

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

All Works

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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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