Deepesh Agarwal

520 total citations
24 papers, 349 citations indexed

About

Deepesh Agarwal is a scholar working on Artificial Intelligence, Molecular Biology and Control and Systems Engineering. According to data from OpenAlex, Deepesh Agarwal has authored 24 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Molecular Biology and 4 papers in Control and Systems Engineering. Recurrent topics in Deepesh Agarwal's work include Machine Learning and Algorithms (5 papers), Advanced Graph Neural Networks (3 papers) and Data Stream Mining Techniques (3 papers). Deepesh Agarwal is often cited by papers focused on Machine Learning and Algorithms (5 papers), Advanced Graph Neural Networks (3 papers) and Data Stream Mining Techniques (3 papers). Deepesh Agarwal collaborates with scholars based in United States, India and France. Deepesh Agarwal's co-authors include Balasubramaniam Natarajan, Thomas Haertlé, Jean‐Charles Gaudin, M. Drouet, Asghar Taheri‐Kafrani, Claudia Nioi, Hanitra Rabesona, Sai Munikoti, Laya Das and Abdol‐Khalegh Bordbar and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Sensors and Information Sciences.

In The Last Decade

Deepesh Agarwal

21 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deepesh Agarwal United States 7 110 85 79 52 43 24 349
Keunpyo Kim United States 12 79 0.7× 21 0.2× 191 2.4× 65 1.3× 12 0.3× 22 1.1k
Xiangqun Liu China 13 41 0.4× 8 0.1× 146 1.8× 31 0.6× 13 0.3× 31 507
Jinghua Zhong China 10 38 0.3× 25 0.3× 81 1.0× 14 0.3× 127 3.0× 24 396
Yiwei Liu China 11 110 1.0× 2 0.0× 57 0.7× 33 0.6× 82 1.9× 28 666
Nan Bao China 11 16 0.1× 16 0.2× 28 0.4× 30 0.6× 29 0.7× 34 315
Jiquan Liu China 12 21 0.2× 4 0.0× 48 0.6× 100 1.9× 132 3.1× 50 623
Yutong Yuan China 7 3 0.0× 27 0.3× 155 2.0× 24 0.5× 108 2.5× 20 446
Jihyun Ha South Korea 9 57 0.5× 3 0.0× 7 0.1× 36 0.7× 148 3.4× 16 352

Countries citing papers authored by Deepesh Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Deepesh Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepesh Agarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Deepesh Agarwal. A scholar is included among the top collaborators of Deepesh 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 Deepesh Agarwal. Deepesh 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, Deepesh, et al.. (2025). Inductive graph neural network framework for imputation of single-cell RNA sequencing data. Computers & Chemical Engineering. 195. 109031–109031.
2.
3.
Agarwal, Deepesh & Balasubramaniam Natarajan. (2025). Uncertainty-guided Active Learning with Theoretical Bounds on Label Complexity. 1(2). 1–21.
4.
Agarwal, Deepesh, et al.. (2024). Protease activity-based nanobiosensors for early detection of pancreatic cancer. Medical Research Archives. 12(7). 1 indexed citations
5.
Munikoti, Sai, Deepesh Agarwal, Laya Das, Mahantesh Halappanavar, & Balasubramaniam Natarajan. (2023). Challenges and Opportunities in Deep Reinforcement Learning With Graph Neural Networks: A Comprehensive Review of Algorithms and Applications. IEEE Transactions on Neural Networks and Learning Systems. 35(11). 15051–15071. 68 indexed citations
6.
Agarwal, Deepesh & Balasubramaniam Natarajan. (2023). Tracking and handling behavioral biases in active learning frameworks. Information Sciences. 641. 119117–119117. 2 indexed citations
7.
8.
Agarwal, Deepesh, et al.. (2022). Early Detection of Pancreatic Cancers Using Liquid Biopsies and Hierarchical Decision Structure. IEEE Journal of Translational Engineering in Health and Medicine. 10. 1–8. 17 indexed citations
9.
Agarwal, Deepesh, et al.. (2022). A Non-Invasive Hydration Monitoring Technique Using Microwave Transmission and Data-Driven Approaches. Sensors. 22(7). 2536–2536. 1 indexed citations
10.
Munikoti, Sai, Deepesh Agarwal, Laya Das, & Balasubramaniam Natarajan. (2022). A general framework for quantifying aleatoric and epistemic uncertainty in graph neural networks. Neurocomputing. 521. 1–10. 12 indexed citations
11.
Agarwal, Deepesh, et al.. (2022). Impacts of Behavioral Biases on Active Learning Strategies. 256–261. 2 indexed citations
12.
Munikoti, Sai, Deepesh Agarwal, Laya Das, Mahantesh Halappanavar, & Balasubramaniam Natarajan. (2022). Challenges and Opportunities in Deep Reinforcement Learning with Graph Neural Networks: A Comprehensive review of Algorithms and Applications. arXiv (Cornell University). 1 indexed citations
13.
Agarwal, Deepesh & Balasubramaniam Natarajan. (2022). Active Learning for Node Classification using a Convex Optimization approach. 96–102. 3 indexed citations
14.
Agarwal, Deepesh, et al.. (2021). Addressing Uncertainties within Active Learning for Industrial IoT. 557–562. 9 indexed citations
15.
16.
Agarwal, Deepesh, et al.. (2016). GA based Optimal DG Placement for Power Loss Reduction and Voltage Stability Improvement. International Journal of Engineering Research and. V5(4). 5 indexed citations
17.
Mehta, Sanket, Maximiliano Gelli, Deepesh Agarwal, & Diane Goèré. (2016). Complications of Cytoreductive Surgery and HIPEC in the Treatment of Peritoneal Metastases. Indian Journal of Surgical Oncology. 7(2). 225–229. 43 indexed citations
18.
Agarwal, Deepesh, et al.. (2015). Link between Friesinger Index and Lipid Profile in Patients Undergoing Diagnostic Coronary Angiography. International Journal of Clinical Medicine. 6(8). 538–546. 2 indexed citations
19.
Chatterjee, Subhankar, Md Jamal Uddin, M. S. Rahman, et al.. (2011). Percuteneous mitral balloon valvuloplasty in patients with post surgical mitral restenosis: result of 70 cases.. PubMed. 62(1). 17–20. 1 indexed citations
20.
Taheri‐Kafrani, Asghar, Jean‐Charles Gaudin, Hanitra Rabesona, et al.. (2009). Effects of Heating and Glycation of β-Lactoglobulin on Its Recognition by IgE of Sera from Cow Milk Allergy Patients. Journal of Agricultural and Food Chemistry. 57(11). 4974–4982. 155 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 Keunpyo Kim Breakdown of academic impact, for papers by Xiangqun Liu Breakdown of academic impact, for papers by Jinghua Zhong Breakdown of academic impact, for papers by Yiwei Liu Breakdown of academic impact, for papers by Nan Bao Breakdown of academic impact, for papers by Jiquan Liu Breakdown of academic impact, for papers by Yutong Yuan Breakdown of academic impact, for papers by Jihyun Ha
Rankless by CCL
2026