Nirupam Gupta

474 total citations
27 papers, 210 citations indexed

About

Nirupam Gupta is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Mechanics. According to data from OpenAlex, Nirupam Gupta has authored 27 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 11 papers in Computer Networks and Communications and 3 papers in Computational Mechanics. Recurrent topics in Nirupam Gupta's work include Stochastic Gradient Optimization Techniques (12 papers), Privacy-Preserving Technologies in Data (10 papers) and Distributed Control Multi-Agent Systems (8 papers). Nirupam Gupta is often cited by papers focused on Stochastic Gradient Optimization Techniques (12 papers), Privacy-Preserving Technologies in Data (10 papers) and Distributed Control Multi-Agent Systems (8 papers). Nirupam Gupta collaborates with scholars based in United States, Switzerland and France. Nirupam Gupta's co-authors include Nikhil Chopra, Nitin H. Vaidya, Jonathan Katz, Rachid Guerraoui, Kushal Chakrabarti, Thinh T. Doan, Sébastien Rouault, Shuo Liu, Devinder S. Bansi and Matthew Adams and has published in prestigious journals such as The Lancet, Automatica and ACM Computing Surveys.

In The Last Decade

Nirupam Gupta

26 papers receiving 206 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nirupam Gupta United States	9	116	91	45	33	16	27	210
Zhihua Zhang China	10	181 1.6×	156 1.7×	57 1.3×	64 1.9×	17 1.1×	19	327
Mahmoud El Chamie United States	8	50 0.4×	107 1.2×	45 1.0×	39 1.2×	8 0.5×	21	185
Xing Fang China	6	47 0.4×	150 1.6×	23 0.5×	47 1.4×	30 1.9×	18	234
Carsten Trinitis Germany	6	43 0.4×	67 0.7×	12 0.3×	28 0.8×	22 1.4×	41	158
Apostolos I. Rikos Cyprus	11	57 0.5×	244 2.7×	26 0.6×	62 1.9×	16 1.0×	40	279
Mohammad Sadegh Talebi Iran	10	64 0.6×	170 1.9×	14 0.3×	78 2.4×	5 0.3×	41	246
Michal Krátký Czechia	9	74 0.6×	53 0.6×	27 0.6×	48 1.5×	27 1.7×	36	178
Bùi Thanh Hùng Vietnam	8	86 0.7×	32 0.4×	23 0.5×	28 0.8×	25 1.6×	41	195
Zheng Qu Hong Kong	9	135 1.2×	34 0.4×	22 0.5×	43 1.3×	7 0.4×	25	226
H. G. Dietz United States	11	34 0.3×	238 2.6×	10 0.2×	32 1.0×	42 2.6×	42	308

Countries citing papers authored by Nirupam Gupta

Since Specialization

Citations

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

Fields of papers citing papers by Nirupam Gupta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nirupam Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Nirupam Gupta. A scholar is included among the top collaborators of Nirupam Gupta 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 Nirupam Gupta. Nirupam Gupta 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

Guerraoui, Rachid, et al.. (2024). Brief Announcement: A Case for Byzantine Machine Learning. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 131–134. 1 indexed citations

Guerraoui, Rachid, et al.. (2024). Robust Machine Learning. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2 indexed citations

Guerraoui, Rachid, et al.. (2024). Revisiting Ensembling in One-Shot Federated Learning. Research at the University of Copenhagen (University of Copenhagen). 68500–68527.

Guerraoui, Rachid, et al.. (2024). Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients. 100816–100844. 1 indexed citations

Gupta, Nirupam, et al.. (2023). Impact of Redundancy on Resilience in Distributed Optimization and Learning. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 80–89. 2 indexed citations

Guerraoui, Rachid, et al.. (2023). Byzantine Machine Learning: A Primer. ACM Computing Surveys. 56(7). 1–39. 15 indexed citations

Gupta, Nirupam, Thinh T. Doan, & Nitin H. Vaidya. (2023). Byzantine Fault-Tolerance in Federated Local SGD Under $2f$-Redundancy. IEEE Transactions on Control of Network Systems. 10(4). 1669–1681. 3 indexed citations

Chakrabarti, Kushal, Nirupam Gupta, & Nikhil Chopra. (2022). On Preconditioning of Decentralized Gradient-Descent When Solving a System of Linear Equations. IEEE Transactions on Control of Network Systems. 9(2). 811–822. 1 indexed citations

Chakrabarti, Kushal, Nirupam Gupta, & Nikhil Chopra. (2021). Robustness of Iteratively Pre-Conditioned Gradient-Descent Method: The Case of Distributed Linear Regression Problem. 2248–2253. 3 indexed citations

10.

Liu, Shuo, Nirupam Gupta, & Nitin H. Vaidya. (2021). Redundancy in cost functions for Byzantine fault-tolerant federated learning. 4–6. 2 indexed citations

11.

Chakrabarti, Kushal, Nirupam Gupta, & Nikhil Chopra. (2020). Robustness of Iteratively Pre-Conditioned Gradient-Descent Method: The Case of Distributed Linear Regression Problem. IEEE Control Systems Letters. 5(6). 2180–2185. 2 indexed citations

12.

Gupta, Nirupam & Nitin H. Vaidya. (2020). Fault-Tolerance in Distributed Optimization: The Case of Redundancy. 365–374. 20 indexed citations

13.

Gupta, Nirupam, et al.. (2019). False Data Injection Attacks in Bilateral Teleoperation Systems. IEEE Transactions on Control Systems Technology. 28(3). 1168–1176. 30 indexed citations

14.

Gupta, Nirupam & Nitin H. Vaidya. (2019). Byzantine Fault-Tolerant Parallelized Stochastic Gradient Descent for Linear Regression. 415–420. 8 indexed citations

15.

Gupta, Nirupam, et al.. (2017). Robustness of distributive double-integrator consensus to loss of graph connectivity. 4516–4521. 1 indexed citations

16.

Gupta, Nirupam, et al.. (2016). On content modification attacks in bilateral teleoperation systems. 316–321. 9 indexed citations

17.

Gupta, Nirupam & Nikhil Chopra. (2016). Stability analysis of a two-channel feedback networked control system. 4. 200–207. 2 indexed citations

18.

Gupta, Nirupam & Nikhil Chopra. (2016). Confidentiality in distributed average information consensus. 6709–6714. 12 indexed citations

19.

Gupta, Nirupam, et al.. (2016). Content modification attacks on consensus seeking multi-agent system with double-integrator dynamics. Chaos An Interdisciplinary Journal of Nonlinear Science. 26(11). 116305–116305. 7 indexed citations

20.

Gupta, Nirupam, et al.. (2006). Oesophageal perforation with asymptomatic lung abscess formation. The Lancet. 368(9552). 2104–2104. 3 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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