Anindya Bhaduri

42 total papers · 432 total citations
23 papers, 291 citations indexed

About

Anindya Bhaduri is a scholar working on Statistical and Nonlinear Physics, Mechanics of Materials and Mechanical Engineering. According to data from OpenAlex, Anindya Bhaduri has authored 23 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistical and Nonlinear Physics, 7 papers in Mechanics of Materials and 6 papers in Mechanical Engineering. Recurrent topics in Anindya Bhaduri's work include Model Reduction and Neural Networks (7 papers), Composite Material Mechanics (4 papers) and Probabilistic and Robust Engineering Design (4 papers). Anindya Bhaduri is often cited by papers focused on Model Reduction and Neural Networks (7 papers), Composite Material Mechanics (4 papers) and Probabilistic and Robust Engineering Design (4 papers). Anindya Bhaduri collaborates with scholars based in United States, Sweden and India. Anindya Bhaduri's co-authors include Lori Graham‐Brady, Audrey Olivier, Michael D. Shields, Robert M. Kirby, Yanyan He, Philippe H. Geubelle, Liping Wang, Ryan Hurley, Sayan Ghosh and Dimitri N. Mavris and has published in prestigious journals such as Journal of Computational Physics, Journal of Applied Mechanics and Composites Part B Engineering.

In The Last Decade

Anindya Bhaduri

19 papers receiving 281 citations

Hit Papers

Stress field prediction i... 2022 2026 2023 2024 2022 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Anindya Bhaduri 142 90 75 62 56 23 291
Bahador Bahmani 160 1.1× 50 0.6× 52 0.7× 63 1.0× 42 0.8× 20 292
Atsuya Oishi 134 0.9× 111 1.2× 113 1.5× 89 1.4× 27 0.5× 17 296
Panos Pantidis 47 0.3× 68 0.8× 121 1.6× 43 0.7× 45 0.8× 15 244
Shengtong Zhou 56 0.4× 105 1.2× 47 0.6× 20 0.3× 16 0.3× 23 274
Coleman Alleman 136 1.0× 124 1.4× 21 0.3× 47 0.8× 151 2.7× 19 309
P. Bussy 91 0.6× 80 0.9× 21 0.3× 19 0.3× 15 0.3× 41 297
Miroslav Stoyanov 63 0.4× 95 1.1× 20 0.3× 33 0.5× 34 0.6× 26 254
Jisang Park 97 0.7× 69 0.8× 117 1.6× 13 0.2× 52 0.9× 21 299
Jiachen Guo 67 0.5× 65 0.7× 122 1.6× 48 0.8× 16 0.3× 37 253
Arinan Dourado 59 0.4× 104 1.2× 66 0.9× 70 1.1× 10 0.2× 20 294

Countries citing papers authored by Anindya Bhaduri

Since Specialization
Citations

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

Fields of papers citing papers by Anindya Bhaduri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anindya Bhaduri

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