Arpita Biswas

1.4k total citations
33 papers, 914 citations indexed

About

Arpita Biswas is a scholar working on Management Science and Operations Research, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Arpita Biswas has authored 33 papers receiving a total of 914 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Management Science and Operations Research, 7 papers in Computer Networks and Communications and 7 papers in Artificial Intelligence. Recurrent topics in Arpita Biswas's work include Auction Theory and Applications (5 papers), Advanced Bandit Algorithms Research (5 papers) and IoT and Edge/Fog Computing (4 papers). Arpita Biswas is often cited by papers focused on Auction Theory and Applications (5 papers), Advanced Bandit Algorithms Research (5 papers) and IoT and Edge/Fog Computing (4 papers). Arpita Biswas collaborates with scholars based in India, United States and France. Arpita Biswas's co-authors include David J. Goldhamer, Michael N. Wosczyna, Shoko Yamamoto, Masakazu Yamamoto, B.M. Olivera, A M Snowman, SH Snyder, JA Wagner, Krishna Lal Baishnab and Siddharth Barman and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Science Advances.

In The Last Decade

Arpita Biswas

30 papers receiving 896 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Arpita Biswas India 13 406 263 129 120 114 33 914
Bing Jiang China 22 496 1.2× 28 0.1× 37 0.3× 82 0.7× 64 0.6× 85 1.6k
Rafeeq Ahmed United States 24 686 1.7× 33 0.1× 43 0.3× 55 0.5× 260 2.3× 73 1.7k
Heng Pan United States 17 516 1.3× 17 0.1× 86 0.7× 71 0.6× 58 0.5× 36 1.2k
Christopher C. Gibson United States 15 268 0.7× 22 0.1× 72 0.6× 65 0.5× 34 0.3× 27 939
Anna Börjesson Sweden 20 588 1.4× 116 0.4× 526 4.1× 61 0.5× 9 0.1× 34 1.5k
Xiaofeng Yin China 21 428 1.1× 73 0.3× 36 0.3× 51 0.4× 55 0.5× 104 1.3k
Tomohiro Yoneda Japan 13 499 1.2× 33 0.1× 68 0.5× 26 0.2× 176 1.5× 76 1.1k
Zhuqing Jia China 25 879 2.2× 108 0.4× 76 0.6× 89 0.7× 376 3.3× 68 1.8k
Yaping Liu China 16 276 0.7× 93 0.4× 142 1.1× 295 2.5× 71 0.6× 63 876
Chun Zhang China 13 131 0.3× 32 0.1× 74 0.6× 57 0.5× 11 0.1× 71 640

Countries citing papers authored by Arpita Biswas

Since Specialization
Citations

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

Fields of papers citing papers by Arpita Biswas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arpita Biswas

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

All Works

20 of 20 papers shown
1.
Sharma, Ram Prakash, et al.. (2025). Exploring the impact of nanoparticle aggregation in parabolic trough solar collectors with a neural network-based predictions for enhanced thermal performance. Solar Energy Materials and Solar Cells. 293. 113866–113866. 3 indexed citations
2.
Biswas, Arpita, et al.. (2025). Quantifying effects of solar power adoption on CO 2 emissions reduction. Science Advances. 11(31). eadq5660–eadq5660.
3.
Biswas, Arpita, Lily Xu, Shresth Verma, et al.. (2023). Robust Planning over Restless Groups: Engagement Interventions for a Large-Scale Maternal Telehealth Program. Proceedings of the AAAI Conference on Artificial Intelligence. 37(12). 14295–14303.
5.
Biswas, Arpita, John V. Tucker, & Sebastian Bauhoff. (2023). Performance of predictive algorithms in estimating the risk of being a zero-dose child in India, Mali and Nigeria. BMJ Global Health. 8(10). e012836–e012836. 6 indexed citations
6.
Xu, Lily, Arpita Biswas, Fei Fang, & Milind Tambe. (2022). Ranked Prioritization of Groups in Combinatorial Bandit Allocation. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 5206–5212.
7.
Biswas, Arpita, Gaurav Aggarwal, Pradeep Varakantham, & Milind Tambe. (2021). Learning Index Policies for Restless Bandits with Application to Maternal Healthcare. Autonomous Agents and Multi-Agent Systems. 1467–1468. 1 indexed citations
8.
Biswas, Arpita, et al.. (2021). LCB: Light Cipher Block An Ultrafast Lightweight Block Cipher For Resource Constrained IOT Security Applications. KSII Transactions on Internet and Information Systems. 15(11). 9 indexed citations
9.
Biswas, Arpita, et al.. (2020). Learning-based controlled concurrency testing. Proceedings of the ACM on Programming Languages. 4(OOPSLA). 1–31. 14 indexed citations
10.
Majumdar, Abhishek, et al.. (2020). A novel DNA-inspired encryption strategy for concealing cloud storage. Frontiers of Computer Science. 15(3). 14 indexed citations
11.
Biswas, Arpita, et al.. (2019). Fairness Through the Lens of Proportional Equality. ePrints@IISc (Indian Institute of Science). 1832–1834. 2 indexed citations
12.
Majumdar, Abhishek, Arpita Biswas, Krishna Lal Baishnab, & Sandeep K. Sood. (2019). DNA Based Cloud Storage Security Framework Using Fuzzy Decision Making Technique. KSII Transactions on Internet and Information Systems. 13(7). 7 indexed citations
13.
Barman, Siddharth, et al.. (2018). Groupwise Maximin Fair Allocation of Indivisible Goods. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 23 indexed citations
14.
Lees‐Shepard, John B., Masakazu Yamamoto, Arpita Biswas, et al.. (2018). Activin-dependent signaling in fibro/adipogenic progenitors causes fibrodysplasia ossificans progressiva. Nature Communications. 9(1). 471–471. 150 indexed citations
15.
Yamamoto, Masakazu, Arpita Biswas, Alexander R. Lawton, et al.. (2018). Loss of MyoD and Myf5 in Skeletal Muscle Stem Cells Results in Altered Myogenic Programming and Failed Regeneration. Stem Cell Reports. 10(3). 956–969. 113 indexed citations
16.
Biswas, Arpita & Siddharth Barman. (2018). Fair Division Under Cardinality Constraints. 91–97. 24 indexed citations
17.
Biswas, Arpita, Ragavendran Gopalakrishnan, & Partha Sharathi Dutta. (2016). Managing overstaying electric vehicles in park-and-charge facilities. International Joint Conference on Artificial Intelligence. 2465–24711. 1 indexed citations
18.
Biswas, Arpita & David J. Goldhamer. (2016). FACS Fractionation and Differentiation of Skeletal-Muscle Resident Multipotent Tie2+ Progenitors. Methods in molecular biology. 1460. 255–267. 11 indexed citations
19.
Biswas, Arpita, et al.. (2015). A Truthful Budget Feasible Multi-Armed Bandit Mechanism for Crowdsourcing Time Critical Tasks. Adaptive Agents and Multi-Agents Systems. 1101–1109. 23 indexed citations
20.
Wosczyna, Michael N., et al.. (2012). Multipotent progenitors resident in the skeletal muscle interstitium exhibit robust BMP-dependent osteogenic activity and mediate heterotopic ossification. Journal of Bone and Mineral Research. 27(5). 1004–1017. 255 indexed citations

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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