Anish Nair

67 total papers · 1.7k total citations
48 papers, 1.1k citations indexed

About

Anish Nair is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Anish Nair has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Mechanical Engineering, 13 papers in Electrical and Electronic Engineering and 13 papers in Biomedical Engineering. Recurrent topics in Anish Nair's work include Advanced machining processes and optimization (15 papers), Advanced Machining and Optimization Techniques (13 papers) and Advanced Surface Polishing Techniques (12 papers). Anish Nair is often cited by papers focused on Advanced machining processes and optimization (15 papers), Advanced Machining and Optimization Techniques (13 papers) and Advanced Surface Polishing Techniques (12 papers). Anish Nair collaborates with scholars based in India, United States and Slovenia. Anish Nair's co-authors include Leonardo Neumeyer, Bruce Robbins, S. Kumanan, Farah Jijina, Manisha Madkaikar, Chander Prakash, L. Selvarajan, Kanjaksha Ghosh, Kevin Knight and Kenji Yamada and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Expert Systems with Applications.

In The Last Decade

Anish Nair

43 papers receiving 1.0k citations

Hit Papers

S4: Distributed Stream Co... 2010 2026 2015 2020 2010 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Anish Nair 460 381 212 196 155 48 1.1k
Sonal Jain 450 1.0× 144 0.4× 280 1.3× 102 0.5× 146 0.9× 81 1.4k
Gang Hu 156 0.3× 202 0.5× 108 0.5× 44 0.2× 232 1.5× 76 1.2k
Muhammad Usman 437 0.9× 110 0.3× 203 1.0× 13 0.1× 507 3.3× 91 1.0k
Hongwei Ding 154 0.3× 105 0.3× 344 1.6× 29 0.1× 226 1.5× 80 939
Tong Yu 139 0.3× 182 0.5× 355 1.7× 86 0.4× 222 1.4× 50 1.1k
Li Guo 515 1.1× 446 1.2× 291 1.4× 123 0.6× 122 0.8× 109 1.3k
Mohammed Y. Aalsalem 626 1.4× 207 0.5× 193 0.9× 41 0.2× 398 2.6× 47 1.3k
Ximing Wang 367 0.8× 78 0.2× 156 0.7× 54 0.3× 451 2.9× 86 1.1k
Jinyang Gao 80 0.2× 61 0.2× 291 1.4× 75 0.4× 314 2.0× 58 1.0k
Wei-Jen Wang 172 0.4× 190 0.5× 96 0.5× 110 0.6× 92 0.6× 64 986

Countries citing papers authored by Anish Nair

Since Specialization
Citations

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

Fields of papers citing papers by Anish Nair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anish Nair

This figure shows the co-authorship network connecting the top 25 collaborators of Anish Nair. A scholar is included among the top collaborators of Anish Nair 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 Anish Nair. Anish Nair 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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