Sagar Sen

2.5k total citations
104 papers, 1.1k citations indexed

About

Sagar Sen is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Numerical Analysis. According to data from OpenAlex, Sagar Sen has authored 104 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 28 papers in Computational Theory and Mathematics and 22 papers in Numerical Analysis. Recurrent topics in Sagar Sen's work include Numerical Methods and Algorithms (16 papers), Advanced Optimization Algorithms Research (16 papers) and Matrix Theory and Algorithms (15 papers). Sagar Sen is often cited by papers focused on Numerical Methods and Algorithms (16 papers), Advanced Optimization Algorithms Research (16 papers) and Matrix Theory and Algorithms (15 papers). Sagar Sen collaborates with scholars based in Norway, United States and India. Sagar Sen's co-authors include Benoît Baudry, Dusica Marijan, Arnaud Gotlieb, Yves Le Traon, Gilles Perrouin, Jacques Klein, Ravi P. Agarwal, Phu H. Nguyen, Arda Göknil and Sebastian Oster and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACM Computing Surveys and IEEE Transactions on Computers.

In The Last Decade

Sagar Sen

94 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sagar Sen Norway	17	443	407	375	174	147	104	1.1k
Ronald D. Armstrong United States	21	67 0.2×	89 0.2×	117 0.3×	249 1.4×	115 0.8×	98	1.4k
Lynn Batten Australia	17	128 0.3×	462 1.1×	369 1.0×	676 3.9×	70 0.5×	92	1.2k
Kenneth Bacławski United States	19	31 0.1×	280 0.7×	637 1.7×	178 1.0×	192 1.3×	70	1.4k
Reind P. van de Riet Netherlands	15	28 0.1×	162 0.4×	407 1.1×	223 1.3×	90 0.6×	62	820
Jacques Cohen United States	19	132 0.3×	165 0.4×	556 1.5×	330 1.9×	259 1.8×	62	1.1k
Luigi Lavazza Italy	18	524 1.2×	975 2.4×	512 1.4×	240 1.4×	82 0.6×	135	1.4k
Vijayakumar Varadarajan Australia	18	36 0.1×	259 0.6×	227 0.6×	265 1.5×	12 0.1×	65	983
Paulo Fernandes Brazil	14	74 0.2×	158 0.4×	120 0.3×	190 1.1×	192 1.3×	72	659
Nicolai M. Josuttis Switzerland	8	38 0.1×	319 0.8×	238 0.6×	256 1.5×	54 0.4×	12	678
Zhiming Liu China	18	305 0.7×	321 0.8×	476 1.3×	194 1.1×	198 1.3×	126	1.1k

Countries citing papers authored by Sagar Sen

Since Specialization

Citations

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

Fields of papers citing papers by Sagar Sen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sagar Sen

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Göknil, Arda, et al.. (2025). Sustainable LLM Inference for Edge AI: Evaluating Quantized LLMs for Energy Efficiency, Output Accuracy, and Inference Latency. 6(4). 1–35. 4 indexed citations

Sen, Sagar, et al.. (2024). ERG-AI: enhancing occupational ergonomics with uncertainty-aware ML and LLM feedback. Applied Intelligence. 54(23). 12128–12155. 9 indexed citations

Göknil, Arda, et al.. (2023). A Systematic Review of Data Quality in CPS and IoT for Industry 4.0. ACM Computing Surveys. 55(14s). 1–38. 18 indexed citations

Dautov, Rustem, et al.. (2023). Towards Community-Driven Generative AI. SHILAP Revista de lepidopterología. 36. 43–50. 3 indexed citations

Campbell, Suzanne Hetzel, Nathalie C. Støer, Philip E. Castle, et al.. (2022). Impact of the Mobile Game FightHPV on Cervical Cancer Screening Attendance: Retrospective Cohort Study. JMIR Serious Games. 10(4). e36197–e36197. 3 indexed citations

Sen, Sagar, et al.. (2019). FightHPV: Design and Evaluation of a Mobile Game to Raise Awareness About Human Papillomavirus and Nudge People to Take Action Against Cervical Cancer. JMIR Serious Games. 7(2). e8540–e8540. 38 indexed citations

Caballero, Rafael, Sagar Sen, & Jan F. Nygård. (2017). Anticipating anonymity in screening program databases. International Journal of Medical Informatics. 103. 20–31. 2 indexed citations

Riegler, Michael A., et al.. (2015). Scientific hangman: Gamifying scientific evidence for general public. 1345. 26–33. 4 indexed citations

Marijan, Dusica, Arnaud Gotlieb, & Sagar Sen. (2013). Test Case Prioritization for Continuous Regression Testing: An Industrial Case Study. 540–543. 120 indexed citations

10.

Sen, Sagar, Jean‐Marie Mottu, Massimo Tisi, & Jordi Cabot. (2012). Using models of partial knowledge to test model transformations. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations

11.

Sen, Sagar. (2011). Numerical computation in thorny regions. Nonlinear studies. 18(4). 685–715. 1 indexed citations

12.

Sen, Sagar, Rajesh Agarwal, & Gholam Ali Shaykhian. (2009). Best k-digit Rational Approximations ― True Versus Convergent-, Decimal-based Ones: Quality, Cost, Scope. 19(1). 59–96. 2 indexed citations

13.

Sen, Sagar, Ravi P. Agarwal, & Gholam Ali Shaykhian. (2009). ILL-VERSUS WELL-POSED SINGULAR LINEAR SYSTEMS: SCOPE OF RANDOMIZED ALGORITHMS. Journal of applied mathematics & informatics. 27. 621–638. 1 indexed citations

14.

Sen, Sagar, Ravi P. Agarwal, & Raffaella Pavani. (2008). Best k-digit rational bounds for irrational numbers: Pre- and super-computer era. Mathematical and Computer Modelling. 49(7-8). 1465–1482. 4 indexed citations

15.

Sen, Sagar, Ravi P. Agarwal, & Gholam Ali Shaykhian. (2007). Golden ratio versus pi as random sequence sources for Monte Carlo integration. Mathematical and Computer Modelling. 48(1-2). 161–178. 7 indexed citations

16.

Sen, Sagar, et al.. (2006). Chemical equation balancing: An integer programming approach. Mathematical and Computer Modelling. 44(7-8). 678–691. 17 indexed citations

17.

Sen, Sagar, et al.. (2006). 2nin scientific computation and beyond. Mathematical and Computer Modelling. 43(5-6). 658–672. 1 indexed citations

18.

Lord, Eric A., et al.. (1996). A shrinking polytope method for linear programming. Neural, Parallel & Scientific Computations archive. 4(3). 325–340. 7 indexed citations

19.

Lakshmikantham, V., et al.. (1996). Vectors versus matrices: p-inversion, cryptographic application, and vector implementation. Neural, Parallel & Scientific Computations archive. 4(2). 129–140. 7 indexed citations

20.

Sen, Sagar, et al.. (1988). Computing a matrix symmetrizer exactly using modified multiple modulus residue arithmetic. Journal of Computational and Applied Mathematics. 21(1). 27–40. 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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