Arpan Biswas
- Computational Mechanics top 10%
- Materials Chemistry
- Industrial and Manufacturing Engineering top 10%
- Automotive Engineering top 10%
- Computer Graphics and Computer-Aided Design top 5%
- Co-authors
- Vadim ShapiroIgor TsukanovChristopher HoyleSergei V. KalininMaxim ZiatdinovRama K. VasudevanAnna N. MorozovskaEugene А. Eliseev
- Topics
- Machine Learning in Materials Science (9 papers)Advanced Multi-Objective Optimization Algorithms (9 papers)Optimal Experimental Design Methods (5 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignStructural BiologyIndustrial and Manufacturing Engineering
- Journals
- SHILAP Revista de lepidopterologíaEnergy EconomicsPhysical review. B.
- Partner nations
- United StatesIndiaTaiwan
In The Last Decade
Arpan Biswas
31 papers receiving 351 citations
Peers
Comparison fields: 5 of 79
- Computational Mechanics 96
- Materials Chemistry 76
- Industrial and Manufacturing Engineering 60
- Automotive Engineering 59
- Computer Graphics and Computer-Aided Design 58
Countries citing papers authored by Arpan Biswas
This map shows the geographic impact of Arpan Biswas'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 Arpan Biswas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arpan Biswas more than expected).
Fields of papers citing papers by Arpan Biswas
This network shows the impact of papers produced by Arpan Biswas. 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 Arpan Biswas. The network helps show where Arpan Biswas may publish in the future.
Co-authorship network of co-authors of Arpan Biswas
This figure shows the co-authorship network connecting the top 25 collaborators of Arpan Biswas. A scholar is included among the top collaborators of Arpan Biswas 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 Arpan Biswas. Arpan Biswas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 25 | |
| 5 | 17 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 4 | |
| 11 | 0 | |
| 12 | 12 | |
| 13 | 2 | |
| 14 | 31 | |
| 15 | 10 | |
| 16 | Hybrid Statistical and Engineering Optimization Architectures in Early Multidisciplinary Designs of Resilience and Expensive Black-box Complex Systems | 1 |
| 17 | 1 | |
| 18 | 9 | |
| 19 | 3 | |
| 20 | 120 |
About Arpan Biswas
Arpan Biswas is a scholar working on Structural Biology, Statistics, Probability and Uncertainty and Computer Graphics and Computer-Aided Design, having authored 34 papers that have together received 358 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (9 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Optimal Experimental Design Methods (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (58 citations), Structural Biology (10 citations) and Industrial and Manufacturing Engineering (60 citations). Arpan Biswas has collaborated with scholars based in United States, India and Taiwan. Frequent co-authors include Vadim Shapiro, Igor Tsukanov, Christopher Hoyle, Sergei V. Kalinin, Maxim Ziatdinov, Rama K. Vasudevan, Anna N. Morozovska, Eugene А. Eliseev, Kevin M. Roccapriore and Ram D. Sriram. Their work appears in journals such as SHILAP Revista de lepidopterología, Energy Economics and Physical review. B..
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.