Arpit Agarwal

1.8k total citations
49 papers, 593 citations indexed

About

Arpit Agarwal is a scholar working on Artificial Intelligence, Computational Mechanics and Biomedical Engineering. According to data from OpenAlex, Arpit Agarwal has authored 49 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Computational Mechanics and 6 papers in Biomedical Engineering. Recurrent topics in Arpit Agarwal's work include Tactile and Sensory Interactions (5 papers), Fluid Dynamics and Heat Transfer (4 papers) and Advanced Sensor and Energy Harvesting Materials (4 papers). Arpit Agarwal is often cited by papers focused on Tactile and Sensory Interactions (5 papers), Fluid Dynamics and Heat Transfer (4 papers) and Advanced Sensor and Energy Harvesting Materials (4 papers). Arpit Agarwal collaborates with scholars based in United States, India and Canada. Arpit Agarwal's co-authors include Pierre F. J. Lermusiaux, David C. Parkes, Wenzhen Yuan, Patrick J. Haley, Mario F. Trujillo, Rafael Frongillo, Victor Shnayder, Nobuhisa Kobayashi, Bradley D. Johnson and Aditya Prakash and has published in prestigious journals such as The International Journal of Robotics Research, Powder Technology and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

Arpit Agarwal

43 papers receiving 567 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arpit Agarwal United States 14 110 107 86 77 72 49 593
Aidong Lu United States 18 132 1.2× 247 2.3× 41 0.5× 39 0.5× 11 0.2× 76 1.1k
Jize Zhang United States 15 36 0.3× 51 0.5× 21 0.2× 99 1.3× 9 0.1× 64 724
Dongming Lu China 20 65 0.6× 118 1.1× 11 0.1× 32 0.4× 10 0.1× 143 1.2k
Zhenyu Lu China 12 27 0.2× 202 1.9× 12 0.1× 42 0.5× 20 0.3× 30 658
Wolf‐Gerrit Früh United Kingdom 17 222 2.0× 48 0.4× 49 0.6× 168 2.2× 25 0.3× 80 1.0k
Zsolt Ugray United States 5 35 0.3× 79 0.7× 13 0.2× 79 1.0× 10 0.1× 10 635
Shuang Song United States 15 29 0.3× 449 4.2× 7 0.1× 101 1.3× 34 0.5× 50 1.2k
Graham Riley United Kingdom 11 21 0.2× 118 1.1× 23 0.3× 27 0.4× 17 0.2× 49 685
Jim X. Chen United States 12 106 1.0× 93 0.9× 7 0.1× 24 0.3× 36 0.5× 80 581
Changbo Wang China 13 129 1.2× 160 1.5× 18 0.2× 11 0.1× 10 0.1× 139 833

Countries citing papers authored by Arpit Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Arpit Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arpit Agarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Arpit Agarwal. A scholar is included among the top collaborators of Arpit Agarwal 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 Arpit Agarwal. Arpit Agarwal 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.
Agarwal, Arpit, et al.. (2025). Vision-based tactile sensor design using physically based rendering. Communications Engineering. 4(1). 21–21. 5 indexed citations
2.
Agarwal, Arpit, et al.. (2025). A modularized design approach for GelSight family of vision-based tactile sensors. The International Journal of Robotics Research. 44(13). 2195–2214. 1 indexed citations
3.
Li, Yichen, et al.. (2025). PneuGelSight: Soft robotic vision-based proprioception and tactile sensing. The International Journal of Robotics Research.
4.
Agarwal, Arpit, et al.. (2025). In Vivo Skin 3‐D Surface Reconstruction and Wrinkle Depth Estimation Using Handheld High Resolution Tactile Sensing. Advanced Healthcare Materials. 15(11). e04402–e04402.
5.
Pandey, Atul, et al.. (2024). Role of Repetitive Transcranial Magnetic Stimulation in Treatment of Fibromyalgia: A Randomized Controlled Trial. Annals of Indian Academy of Neurology. 27(2). 158–164. 1 indexed citations
6.
7.
Agarwal, Arpit, et al.. (2022). Evaluation and Improvements to Interfacial Curvature Predictions in interFoam. Fluids. 7(4). 128–128. 3 indexed citations
8.
Agarwal, Arpit, et al.. (2021). Stochastic Dueling Bandits with Adversarial Corruption.. 217–248.
9.
Agarwal, Arpit, et al.. (2021). Classification of Carrots based on Shape Analysis using Machine Learning Techniques. 2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV). 1407–1411. 3 indexed citations
10.
Agarwal, Arpit, et al.. (2020). Quantitative DEM simulation of pellet and sinter particles using rolling friction estimated from image analysis. Powder Technology. 380. 288–302. 30 indexed citations
11.
Agarwal, Arpit, et al.. (2020). Rank Aggregation from Pairwise Comparisons in the Presence of Adversarial Corruptions. International Conference on Machine Learning. 1. 85–95. 2 indexed citations
12.
Agarwal, Arpit, Sepehr Assadi, & Sanjeev Khanna. (2019). Stochastic submodular cover with limited adaptivity. arXiv (Cornell University). 323–342. 2 indexed citations
13.
Agarwal, Arpit, et al.. (2018). Accelerated Spectral Ranking. International Conference on Machine Learning. 70–79. 4 indexed citations
14.
Prakash, Aditya, et al.. (2018). Risk Assessment in Automobile Supply Chain. Materials Today Proceedings. 5(2). 3571–3580. 33 indexed citations
15.
Agarwal, Arpit, Shivani Agarwal, Sepehr Assadi, & Sanjeev Khanna. (2017). Learning with Limited Rounds of Adaptivity: Coin Tossing, Multi-Armed Bandits, and Ranking from Pairwise Comparisons.. Conference on Learning Theory. 39–75. 13 indexed citations
16.
Agarwal, Arpit, et al.. (2017). Peer Prediction with Heterogeneous Users. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 81–98. 21 indexed citations
17.
Agarwal, Arpit & Shivani Agarwal. (2015). On Consistent Surrogate Risk Minimization and Property Elicitation. Conference on Learning Theory. 4–22. 3 indexed citations
18.
Haley, Patrick J., Arpit Agarwal, & Pierre F. J. Lermusiaux. (2015). Optimizing velocities and transports for complex coastal regions and archipelagos. Ocean Modelling. 89. 1–28. 43 indexed citations
19.
Agarwal, Arpit & Pierre F. J. Lermusiaux. (2011). Statistical field estimation for complex coastal regions and archipelagos. Ocean Modelling. 40(2). 164–189. 27 indexed citations
20.
Kobayashi, Nobuhisa, Arpit Agarwal, & Bradley D. Johnson. (2007). Longshore Current and Sediment Transport on Beaches. Journal of Waterway Port Coastal and Ocean Engineering. 133(4). 296–304. 39 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Aidong Lu Breakdown of academic impact, for papers by Jize Zhang Breakdown of academic impact, for papers by Dongming Lu Breakdown of academic impact, for papers by Zhenyu Lu Breakdown of academic impact, for papers by Wolf‐Gerrit Früh Breakdown of academic impact, for papers by Zsolt Ugray Breakdown of academic impact, for papers by Shuang Song Breakdown of academic impact, for papers by Graham Riley Breakdown of academic impact, for papers by Jim X. Chen Breakdown of academic impact, for papers by Changbo Wang
Rankless by CCL
2026