Sanjay Kumar

2.8k total citations
80 papers, 1.9k citations indexed

About

Sanjay Kumar is a scholar working on Management Science and Operations Research, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Sanjay Kumar has authored 80 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Management Science and Operations Research, 24 papers in Artificial Intelligence and 16 papers in Control and Systems Engineering. Recurrent topics in Sanjay Kumar's work include Stock Market Forecasting Methods (22 papers), Multi-Criteria Decision Making (19 papers) and Fuzzy Systems and Optimization (15 papers). Sanjay Kumar is often cited by papers focused on Stock Market Forecasting Methods (22 papers), Multi-Criteria Decision Making (19 papers) and Fuzzy Systems and Optimization (15 papers). Sanjay Kumar collaborates with scholars based in India, Egypt and Germany. Sanjay Kumar's co-authors include Deepa Joshi, H. Hannah Inbarani, Bhagawati Prasad Joshi, Krishna Kumar Gupta, Manish Pant, Reshma Rastogi, Ismat Beg, Ahmad Taher Azar, P. Balasubramaniam and Abid Haleem and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Expert Systems with Applications.

In The Last Decade

Sanjay Kumar

76 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sanjay Kumar India 27 1.2k 576 291 263 239 80 1.9k
Chonghui Guo China 24 748 0.6× 745 1.3× 179 0.6× 106 0.4× 222 0.9× 101 1.9k
Rafik Aziz Aliev Azerbaijan 26 995 0.8× 773 1.3× 457 1.6× 518 2.0× 71 0.3× 74 1.9k
Emilio Carrizosa Spain 27 308 0.3× 733 1.3× 282 1.0× 198 0.8× 109 0.5× 167 2.2k
Yinghua Shen China 23 625 0.5× 462 0.8× 89 0.3× 94 0.4× 84 0.4× 78 1.5k
Inés Couso Spain 26 910 0.8× 1.2k 2.1× 210 0.7× 791 3.0× 88 0.4× 111 2.1k
Piero P. Bonissone United States 24 527 0.4× 1.1k 1.9× 454 1.6× 169 0.6× 79 0.3× 112 2.1k
Tabasam Rashid Pakistan 27 1.6k 1.4× 611 1.1× 545 1.9× 361 1.4× 82 0.3× 124 2.5k
Hongjun Wang China 27 1000 0.8× 819 1.4× 508 1.7× 319 1.2× 248 1.0× 152 2.4k
Junyi Chai Hong Kong 13 850 0.7× 280 0.5× 186 0.6× 62 0.2× 74 0.3× 37 1.8k
Thomas A. Runkler Germany 24 339 0.3× 1.4k 2.4× 307 1.1× 203 0.8× 268 1.1× 132 2.6k

Countries citing papers authored by Sanjay Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Sanjay Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanjay Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Sanjay Kumar. A scholar is included among the top collaborators of Sanjay 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 Sanjay Kumar. Sanjay 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.
Kumar, Sanjay, et al.. (2025). PIFS, ARC and Markov model based hybrid method for fuzzy time series forecasting. Expert Systems with Applications. 279. 127510–127510. 1 indexed citations
2.
Kumar, Sanjay, et al.. (2024). Diabetes prediction using data mining techniques. AIP conference proceedings. 3181. 20002–20002.
3.
Kumar, Sanjay, et al.. (2024). Linguistic interval-valued polytopic fuzzy set and cloud model based technique for order of preference by similarity to ideal solution. Engineering Applications of Artificial Intelligence. 142. 109872–109872. 2 indexed citations
4.
Kumar, Sanjay, et al.. (2024). Stabilization analysis for nonlinear interconnected system with memory based coupled sampled data control via quantum-inspired genetic algorithm. Information Sciences. 676. 120857–120857. 3 indexed citations
5.
Kumar, Sanjay, et al.. (2023). Extended dissipative filter design for discrete-time interconnected fuzzy systems with time-varying delays subject to cyber attacks. Applied Mathematics and Computation. 453. 128071–128071. 5 indexed citations
6.
Beg, Ismat, et al.. (2023). Spherical fuzzy analytic hierarchy process and linear assignment model based MCGDM method with its application in ranking of states for their business climate. Expert Systems with Applications. 238. 122247–122247. 11 indexed citations
7.
Kumar, Sanjay, et al.. (2023). Multi-label learning with missing labels using sparse global structure for label-specific features. Applied Intelligence. 53(15). 18155–18170. 9 indexed citations
9.
Kumar, Sanjay & P. Balasubramaniam. (2022). Controllability of Hilfer type fractional evolution neutral integro-differential inclusions with non-instantaneous impulses. Evolution equations and control theory. 12(2). 600–625. 6 indexed citations
10.
Kumar, Sanjay, et al.. (2020). A novel dice similarity measure for IFSs and its applications in pattern and face recognition. Expert Systems with Applications. 149. 113245–113245. 46 indexed citations
11.
Joshi, Bhagawati Prasad & Sanjay Kumar. (2019). An Improved Intuitionistic Fuzzy Choquet Integral Operator for Multi-criteria Decision-making Problems. 4(1). 3 indexed citations
12.
Kumar, Sanjay, et al.. (2019). Weighted Rough Set Theory for Fetal Heart Rate Classification. International Journal of Sociotechnology and Knowledge Development. 11(4). 1–19. 15 indexed citations
13.
14.
Kumar, Sanjay & Deepa Joshi. (2017). Fuzzy Ideal Based Computational Approach for Group Decision Making Problems. Fuzzy Information and Engineering. 9(2). 247–258. 4 indexed citations
15.
Kumar, Sanjay & H. Hannah Inbarani. (2016). Neighborhood rough set based ECG signal classification for diagnosis of cardiac diseases. Soft Computing. 21(16). 4721–4733. 41 indexed citations
16.
Kumar, Sanjay, H. Hannah Inbarani, & Ahmad Taher Azar. (2015). Hybrid Bijective soft set - Neural network for ECG arrhythmia classification. International Journal of Hybrid Intelligent Systems. 12(2). 103–118. 17 indexed citations
17.
Kumar, Sanjay & D. G. Mahto. (2013). Recent Trends In Industrial And Other Engineering Applications Of Non Destructive Testing: A Review. SSRN Electronic Journal. 13(3). 14 indexed citations
18.
Srivastava, Praveen Ranjan, et al.. (2012). Automated Test Data Generation Using Cuckoo Search and Tabu Search (CSTS) Algorithm. SHILAP Revista de lepidopterología. 21(2). 195–224. 33 indexed citations
19.
Kumar, Sanjay, et al.. (2009). Need of library training programe and importance of information sources for the veterinary scientists.. 25. 38–40. 1 indexed citations
20.
Kumar, Sanjay, et al.. (1999). Graphical solution of (n×m) matrix of a game theory. European Journal of Operational Research. 112(2). 467–471. 2 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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