Aditya Gopalan

740 total citations
36 papers, 266 citations indexed

About

Aditya Gopalan is a scholar working on Computer Networks and Communications, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Aditya Gopalan has authored 36 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Networks and Communications, 17 papers in Management Science and Operations Research and 14 papers in Artificial Intelligence. Recurrent topics in Aditya Gopalan's work include Advanced Bandit Algorithms Research (17 papers), Advanced Wireless Network Optimization (10 papers) and Machine Learning and Algorithms (9 papers). Aditya Gopalan is often cited by papers focused on Advanced Bandit Algorithms Research (17 papers), Advanced Wireless Network Optimization (10 papers) and Machine Learning and Algorithms (9 papers). Aditya Gopalan collaborates with scholars based in India, United States and Israel. Aditya Gopalan's co-authors include Sanjay Shakkottai, Shie Mannor, Constantine Caramanis, Yishay Mansour, D. Manjunath, Himanshu Tyagi, Lei Ying, Abhik Kumar Das, Sriram Vishwanath and Siddhartha Banerjee and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Information Theory and Journal of Biotechnology.

In The Last Decade

Aditya Gopalan

32 papers receiving 262 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aditya Gopalan India	10	169	116	95	78	29	36	266
Ilai Bistritz United States	7	163 1.0×	178 1.5×	42 0.4×	77 1.0×	12 0.4×	28	299
Lorenzo Maggi France	10	186 1.1×	89 0.8×	21 0.2×	20 0.3×	35 1.2×	38	255
Richard Combes France	12	346 2.0×	380 3.3×	89 0.9×	42 0.5×	8 0.3×	47	497
Marco Lohmann Germany	6	263 1.6×	161 1.4×	28 0.3×	38 0.5×	22 0.8×	8	331
Miguel A. Mosteiro United States	9	178 1.1×	56 0.5×	19 0.2×	40 0.5×	46 1.6×	44	252
Marc Bui France	6	54 0.3×	44 0.4×	15 0.2×	35 0.4×	26 0.9×	42	171
Yi Ouyang United States	10	102 0.6×	47 0.4×	60 0.6×	66 0.8×	12 0.4×	29	220
Chee Kheong Siew Singapore	9	134 0.8×	83 0.7×	65 0.7×	180 2.3×	30 1.0×	37	363
R. Menon United States	6	525 3.1×	361 3.1×	69 0.7×	16 0.2×	9 0.3×	12	590
R.A. Meyer United States	5	472 2.8×	122 1.1×	143 1.5×	7 0.1×	26 0.9×	11	520

Countries citing papers authored by Aditya Gopalan

Since Specialization

Citations

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

Fields of papers citing papers by Aditya Gopalan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aditya Gopalan

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

All Works

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20 of 20 papers shown

Tang, Tiffany, Yixiao Zhang, Aditya Gopalan, et al.. (2025). Fragmentation of recombinant human interleukin-12 by matriptase in CHO cell culture. Journal of Biotechnology. 404. 112–120.

Zhang, Yingxiao, Chengjin Zhang, Matthew T. Moore, et al.. (2023). Automated, High-Throughput Protoplast Transfection for Gene Editing and Transgene Expression Studies. Methods in molecular biology. 2653. 129–149. 4 indexed citations

Tyagi, Himanshu, et al.. (2023). WiROS: A QoS Software Solution for ros2 in a WiFi Network. 216–218. 1 indexed citations

Gopalan, Aditya, et al.. (2020). Throughput Optimal Decentralized Scheduling with Single-bit State Feedback for a Class of Queueing Systems. arXiv (Cornell University). 7 indexed citations

Amrutur, Bharadwaj, et al.. (2020). On the Latency in Vehicular Control using Video Streaming over Wi-Fi. 1–6. 1 indexed citations

Gopalan, Aditya, et al.. (2019). Bayesian Optimization under Heavy-tailed Payoffs. arXiv (Cornell University). 32. 13790–13801. 2 indexed citations

Bhashyam, Srikrishna, et al.. (2019). Learning to Detect an Anomalous Target with Observations from an Exponential Family. 88–92. 1 indexed citations

Gopalan, Aditya, et al.. (2019). Combinatorial Bandits with Relative Feedback. ePrints@IISc (Indian Institute of Science). 32. 983–993. 2 indexed citations

Gopalan, Aditya, et al.. (2018). Battle of Bandits. Uncertainty in Artificial Intelligence. 805–814.

10.

Gopalan, Aditya, et al.. (2018). Reduced-State, Optimal Medium Access Control for Wireless Data Collection Networks. 567–575. 3 indexed citations

11.

Bhashyam, Srikrishna, et al.. (2017). Optimal Odd Arm Identification with Fixed Confidence.. arXiv (Cornell University). 2 indexed citations

12.

Gopalan, Aditya, et al.. (2017). When to arrive in a congested system: Achieving equilibrium via learning algorithm. 1–8. 2 indexed citations

13.

Gopalan, Aditya, L. A. Prashanth, Michael C. Fu, & Steven I. Marcus. (2017). Weighted Bandits or: How Bandits Learn Distorted Values That Are Not Expected. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 1941–1947. 1 indexed citations

14.

Newell, Andrew J., et al.. (2016). Optimizing distributed actor systems for dynamic interactive services. 1–15. 12 indexed citations

15.

Gopalan, Aditya & Shie Mannor. (2015). Thompson Sampling for Learning Parameterized Markov Decision Processes. Conference on Learning Theory. 861–898. 13 indexed citations

16.

Kumar, Abhinav, et al.. (2015). Optimal WiFi sensing via dynamic programming. 414. 54–61. 1 indexed citations

17.

Gopalan, Aditya, Shie Mannor, & Yishay Mansour. (2014). Thompson Sampling for Complex Online Problems. International Conference on Machine Learning. 100–108. 56 indexed citations

18.

Gopalan, Aditya, Constantine Caramanis, & Sanjay Shakkottai. (2012). On Wireless Scheduling With Partial Channel-State Information. IEEE Transactions on Information Theory. 58(1). 403–420. 35 indexed citations

19.

Gopalan, Aditya, Siddhartha Banerjee, Abhik Kumar Das, & Sanjay Shakkottai. (2011). Random mobility and the spread of infection. 999–1007. 15 indexed citations

20.

Mitliagkas, Ioannis, Aditya Gopalan, Constantine Caramanis, & Sriram Vishwanath. (2011). User rankings from comparisons: Learning permutations in high dimensions. Zenodo (CERN European Organization for Nuclear Research). 18. 1143–1150. 10 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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