Sanjay Bhatter

561 citations
29 papers · 413 · h-index 10

Impact in

    • Fractional Differential Equations Solutions
    • COVID-19 epidemiological studies
    • Iterative Methods for Nonlinear Equations
    • Differential Equations and Numerical Methods

Papers in

Sanjay Bhatter

26 papers receiving 406 citations

Peers

Sanjay Bhatter
Comparison fields: 5 of 58
  • Modeling and Simulation 329
  • Numerical Analysis 110
  • Applied Mathematics 103
  • Statistical and Nonlinear Physics 88
  • Public Health, Environmental and Occupational Health 108
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Citations per field
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Citations per year

Countries citing papers authored by Sanjay Bhatter

Since Specialization
Citations

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

Fields of papers citing papers by Sanjay Bhatter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Sanjay Bhatter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sanjay Bhatter Line = papers co-authored together Sanjay Bhatter links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201996
2 202267
3 201963
4 202225
5 202222
6 202414
7 202014
8 202314
9 202313
10 202310
11 20238
12 20227
13 20237
14 20237
15 20247
16 20246
17 20246
18 20255
19 20205
20 20205

About Sanjay Bhatter

Sanjay Bhatter is a scholar working on Modeling and Simulation, Applied Mathematics, Numerical Analysis, Public Health, Environmental and Occupational Health and Statistical and Nonlinear Physics, having authored 29 papers that have together received 413 indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (20 papers), Iterative Methods for Nonlinear Equations (7 papers), Mathematical functions and polynomials (7 papers), Mathematical and Theoretical Epidemiology and Ecology Models (6 papers), COVID-19 epidemiological studies (4 papers), Nonlinear Waves and Solitons (3 papers), Liver Disease Diagnosis and Treatment (2 papers) and Advanced Mathematical Identities (2 papers). The work is most often cited by research in Modeling and Simulation (329 citations), Numerical Analysis (110 citations), Applied Mathematics (103 citations), Statistical and Nonlinear Physics (88 citations) and Public Health, Environmental and Occupational Health (108 citations). Sanjay Bhatter has collaborated with scholars based in India, Ethiopia and Lebanon. Frequent co-authors include Sunıl Dutt Purohıt, Devendra Kumar, Jagdev Singh, Kamlesh Jangid, Kottakkaran Sooppy Nisar, D. L. Suthar, Kolade M. Owolabi, Afeez Abidemi, Dumitru Bǎleanu and Hacı Mehmet Başkonuş. Their work appears in journals such as Scientific Reports, Advances in Difference Equations, Chaos Solitons & Fractals, Mathematics and Computers in Simulation and Mathematical Methods in the Applied Sciences.

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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