Atul Thakur

121 total papers · 2.1k total citations
64 papers, 1.5k citations indexed

About

Atul Thakur is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Ocean Engineering. According to data from OpenAlex, Atul Thakur has authored 64 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Biomedical Engineering, 20 papers in Computer Vision and Pattern Recognition and 15 papers in Ocean Engineering. Recurrent topics in Atul Thakur's work include Robotic Path Planning Algorithms (17 papers), Microfluidic and Bio-sensing Technologies (13 papers) and Underwater Vehicles and Communication Systems (10 papers). Atul Thakur is often cited by papers focused on Robotic Path Planning Algorithms (17 papers), Microfluidic and Bio-sensing Technologies (13 papers) and Underwater Vehicles and Communication Systems (10 papers). Atul Thakur collaborates with scholars based in India, United States and Denmark. Atul Thakur's co-authors include Subrata Hait, Sathish Paulraj Gundupalli, Satyandra K. Gupta, Petr Švec, Ashis G. Banerjee, Chenlu Wang, Wolfgang Losert, Sagar Chowdhury, Brual C. Shah and Rishi Raj and has published in prestigious journals such as Langmuir, International Journal of Heat and Mass Transfer and IEEE Access.

In The Last Decade

Atul Thakur

58 papers receiving 1.4k citations

Hit Papers

A review on automated sor... 2016 2026 2019 2022 2016 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Atul Thakur 406 311 298 269 243 64 1.5k
Ran Zhao 462 1.1× 162 0.5× 100 0.3× 103 0.4× 85 0.3× 112 1.6k
Giacomo Palmieri 534 1.3× 329 1.1× 13 0.0× 189 0.7× 245 1.0× 95 1.4k
Bo Li 287 0.7× 720 2.3× 122 0.4× 62 0.2× 172 0.7× 194 1.6k
Xingyu Chen 431 1.1× 288 0.9× 32 0.1× 171 0.6× 103 0.4× 80 1.2k
Yubin Liu 355 0.9× 153 0.5× 78 0.3× 34 0.1× 96 0.4× 126 1.5k
Zhe Yang 281 0.7× 221 0.7× 20 0.1× 163 0.6× 176 0.7× 120 1.3k
Daniel J. Klein 167 0.4× 62 0.2× 79 0.3× 241 0.9× 375 1.5× 28 1.3k
Md. Robiul Islam 248 0.6× 102 0.3× 48 0.2× 25 0.1× 146 0.6× 70 1.7k
Yanbiao Li 340 0.8× 398 1.3× 8 0.0× 86 0.3× 64 0.3× 121 1.5k
Fei Chen 564 1.4× 309 1.0× 24 0.1× 23 0.1× 122 0.5× 151 1.7k

Countries citing papers authored by Atul Thakur

Since Specialization
Citations

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

Fields of papers citing papers by Atul Thakur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atul Thakur

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