Anupam Keshari

19 total papers · 654 total citations
14 papers, 449 citations indexed

About

Anupam Keshari is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Anupam Keshari has authored 14 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Industrial and Manufacturing Engineering, 5 papers in Mechanical Engineering and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Anupam Keshari's work include Robotic Path Planning Algorithms (4 papers), Manufacturing Process and Optimization (4 papers) and Advanced machining processes and optimization (3 papers). Anupam Keshari is often cited by papers focused on Robotic Path Planning Algorithms (4 papers), Manufacturing Process and Optimization (4 papers) and Advanced machining processes and optimization (3 papers). Anupam Keshari collaborates with scholars based in India, Italy and China. Anupam Keshari's co-authors include J. C. Mohanta, MD. Faiyaz Ahmed, Luigi Nele, Andréa Matta, Paolo Albertelli, Mohd. Zafar, Dayal R. Parhi, Soumya R. Mohanty, Sanjay D. Pohekar and Sangeeta Khorana and has published in prestigious journals such as Journal of Cleaner Production, Applied Soft Computing and The International Journal of Advanced Manufacturing Technology.

In The Last Decade

Anupam Keshari

14 papers receiving 433 citations

Hit Papers

Recent Advances in Unmann... 2022 2026 2023 2024 2022 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Anupam Keshari 160 151 117 100 70 14 449
Najdan Vuković 103 0.6× 48 0.3× 39 0.3× 128 1.3× 115 1.6× 15 538
Xuejun Zhang 70 0.4× 50 0.3× 91 0.8× 27 0.3× 89 1.3× 32 492
Yuekai Liu 152 0.9× 146 1.0× 152 1.3× 76 0.8× 96 1.4× 15 527
Yue Xu 60 0.4× 49 0.3× 72 0.6× 34 0.3× 39 0.6× 32 463
Yingjie Zhang 186 1.2× 37 0.2× 192 1.6× 184 1.8× 47 0.7× 40 501
S. S. N. Alhady 189 1.2× 123 0.8× 82 0.7× 31 0.3× 116 1.7× 36 473
Gang Wang 210 1.3× 123 0.8× 29 0.2× 57 0.6× 13 0.2× 15 466
Shuo Xie 132 0.8× 45 0.3× 61 0.5× 66 0.7× 95 1.4× 25 462
Aaron Greenfield 136 0.8× 65 0.4× 118 1.0× 30 0.3× 106 1.5× 12 411
Marko Mitić 148 0.9× 62 0.4× 43 0.4× 133 1.3× 116 1.7× 14 514

Countries citing papers authored by Anupam Keshari

Since Specialization
Citations

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

Fields of papers citing papers by Anupam Keshari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anupam Keshari

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

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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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