Ratnesh Kumar

8.3k total citations
335 papers, 5.9k citations indexed

About

Ratnesh Kumar is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Ratnesh Kumar has authored 335 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 206 papers in Computational Theory and Mathematics, 108 papers in Computer Networks and Communications and 61 papers in Electrical and Electronic Engineering. Recurrent topics in Ratnesh Kumar's work include Petri Nets in System Modeling (185 papers), Formal Methods in Verification (174 papers) and Distributed systems and fault tolerance (91 papers). Ratnesh Kumar is often cited by papers focused on Petri Nets in System Modeling (185 papers), Formal Methods in Verification (174 papers) and Distributed systems and fault tolerance (91 papers). Ratnesh Kumar collaborates with scholars based in United States, Japan and India. Ratnesh Kumar's co-authors include Vijay K. Garg, Shigemasa Takai, Shengbing Jiang, Wenbin Qiu, Steven I. Marcus, Changyan Zhou, V. Chandra, Mark A. Shayman, Z. Huang and Jun Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Scientific Reports.

In The Last Decade

Ratnesh Kumar

315 papers receiving 5.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ratnesh Kumar United States 40 3.9k 1.7k 1.2k 810 790 335 5.9k
Jan Lunze Germany 31 1.4k 0.4× 1.6k 1.0× 312 0.3× 870 1.1× 6.6k 8.4× 371 8.4k
Martin Otter Germany 29 1.9k 0.5× 196 0.1× 281 0.2× 352 0.4× 1.8k 2.3× 139 3.9k
Peter Fritzson Sweden 26 1.9k 0.5× 437 0.3× 205 0.2× 252 0.3× 1.1k 1.4× 258 3.5k
Y. Wardi United States 26 671 0.2× 451 0.3× 221 0.2× 273 0.3× 1.2k 1.5× 139 2.4k
Shaoyuan Li China 38 572 0.1× 761 0.5× 163 0.1× 836 1.0× 3.5k 4.4× 452 5.4k
Alexander Martín Germany 28 615 0.2× 472 0.3× 661 0.6× 848 1.0× 421 0.5× 125 2.5k
Yu‐Chu Tian Australia 42 395 0.1× 3.3k 2.0× 152 0.1× 1.5k 1.9× 3.0k 3.7× 233 6.3k
James M. Lucas United States 27 617 0.2× 197 0.1× 664 0.6× 260 0.3× 801 1.0× 119 5.9k
Miguel A. Vega‐Rodríguez Spain 27 435 0.1× 448 0.3× 246 0.2× 664 0.8× 367 0.5× 296 3.1k
François E. Cellier United States 21 834 0.2× 192 0.1× 93 0.1× 262 0.3× 798 1.0× 141 2.3k

Countries citing papers authored by Ratnesh Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Ratnesh Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ratnesh Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Ratnesh Kumar. A scholar is included among the top collaborators of Ratnesh Kumar 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 Ratnesh Kumar. Ratnesh Kumar 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.
Vandana, V.P., Pargin Bangotra, R. K. Singh, et al.. (2025). Analysis of neutron induced reaction cross-section on 121,123Sb isotopes at neutron energy of 14.96 ± 0.03 MeV. Applied Radiation and Isotopes. 220. 111758–111758.
2.
Kumar, Ratnesh, et al.. (2025). Cloud-hosting of agricultural crop simulator and optimizer for model calibration and farm input recommendations. Computers and Electronics in Agriculture. 236. 110364–110364.
3.
Abhangi, M., et al.. (2024). Neutron emission characterization of IPR 14 MeV neutron generator. Fusion Engineering and Design. 204. 114522–114522. 4 indexed citations
4.
Takai, Shigemasa & Ratnesh Kumar. (2024). Nonexistence of Upper Bound to Inferencing Level in Decentralized Discrete Event Control. IEEE Transactions on Automatic Control. 69(11). 7964–7971.
5.
Kumar, Ratnesh, et al.. (2024). Expectation Distance-Based Distributional Clustering for Noise-Robustness. IEEE Transactions on Knowledge and Data Engineering. 36(11). 6099–6110.
6.
Kumar, Puneet, et al.. (2024). A Review on Apache Spark. SSRN Electronic Journal.
7.
Saxena, A., et al.. (2023). Neutronic simulation of medical radioisotope 99Mo and 177Lu production in IPR 14 MeV neutron generator facility. Applied Radiation and Isotopes. 195. 110743–110743. 2 indexed citations
8.
Kumar, Ratnesh, et al.. (2022). A novel multi-set differential pulse voltammetry technique for improving precision in electrochemical sensing. Biosensors and Bioelectronics. 216. 114628–114628. 35 indexed citations
9.
Kumar, Ratnesh, Thomas Strasser, Geert Deconinck, Chun Sing Lai, & Loi Lei Lai. (2021). Special Issue on Recent Advances for Intelligence in Power and Energy Systems. IEEE Transactions on Systems Man and Cybernetics Systems. 51(4). 2036–2040.
10.
Tabassum, Shawana & Ratnesh Kumar. (2020). Selective Detection of Ethylene Using a Fiber-Optic Guided Mode Resonance Device: In-Field Crop/Fruit Diagnostics. Conference on Lasers and Electro-Optics. ATu4I.6–ATu4I.6. 4 indexed citations
11.
Kumar, Ratnesh, et al.. (2019). ICS/SCADA Device Recognition: A Hybrid Communication-Patterns and Passive-Fingerprinting Approach. Immunotechnology. 19–24. 11 indexed citations
12.
Ali, Md. Azahar, Shawana Tabassum, Qiugu Wang, et al.. (2018). Integrated dual-modality microfluidic sensor for biomarker detection using lithographic plasmonic crystal. Lab on a Chip. 18(5). 803–817. 39 indexed citations
13.
Kumar, Ratnesh, et al.. (2018). Salicylic acid (SA) detection using bi-enzyme microfluidic electrochemical sensor. 20–20. 5 indexed citations
14.
Kumar, Ratnesh, et al.. (2012). Model-based automatic test generation for Simulink/Stateflow using extended finite automaton. 857–862. 11 indexed citations
15.
Arapostathis, Ari, et al.. (2010). On controlled Markov chains with optimality requirement and safety constraint. International journal of innovative computing, information & control. 6(6). 2497–2511. 3 indexed citations
16.
Kumar, Ratnesh, et al.. (2010). Reachability analysis based transient stability design in power systems. International Journal of Electrical Power & Energy Systems. 32(7). 782–787. 17 indexed citations
17.
Zhou, Changyan, et al.. (2007). A Framework of Hierarchical Requirements Patterns for Specifying Systems of Interconnected Simulink/Stateflow Modules.. Software Engineering and Knowledge Engineering. 179–184. 3 indexed citations
18.
Kumar, Ratnesh, et al.. (2005). Power system transient stability design using reachability based stability-region computation. 338–343. 11 indexed citations
19.
Kumar, Ratnesh, et al.. (2003). Optimal sensor selection for discrete-event systems with partial observation. IEEE Transactions on Automatic Control. 48(3). 369–381. 94 indexed citations
20.
Kumar, Ratnesh, Vijay K. Garg, & Steven I. Marcus. (1991). On ??-controllability and ??-normality of DEDS. American Control Conference. 28(28). 2905–2910. 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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