Arvind Kumar Sinha

816 citations
58 papers · 581 · h-index 11

Impact in

    • Solar and Space Plasma Dynamics
    • Ionosphere and magnetosphere dynamics
    • Astro and Planetary Science
    • Stellar, planetary, and galactic studies
    • Fractional Differential Equations Solutions

Papers in

Arvind Kumar Sinha

48 papers receiving 544 citations

Peers

Arvind Kumar Sinha
Comparison fields: 5 of 80
  • Astronomy and Astrophysics 281
  • Modeling and Simulation 45
  • Computational Theory and Mathematics 60
  • Virology 11
  • Computational Mechanics 46
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Citations per field
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Citations per year

Countries citing papers authored by Arvind Kumar Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Arvind Kumar Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Arvind Kumar Sinha, 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 Arvind Kumar Sinha Line = papers co-authored together Arvind Kumar Sinha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992286
2 200840
3 200922
4 202420
5 200820
6 202119
7 201712
8 202312
9 200911
10 202111
11 202211
12 201210
13 202010
14 20188
15 20207
16 20247
17 20226
18 20145
19 20244
20 20204

About Arvind Kumar Sinha

Arvind Kumar Sinha is a scholar working on Modeling and Simulation, Computational Theory and Mathematics, Public Health, Environmental and Occupational Health, Artificial Intelligence and Molecular Biology, having authored 58 papers that have together received 581 indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (8 papers), Rough Sets and Fuzzy Logic (7 papers), Mathematical and Theoretical Epidemiology and Ecology Models (6 papers), Mathematical Biology Tumor Growth (6 papers), COVID-19 epidemiological studies (5 papers), Cancer Cells and Metastasis (3 papers), Topic Modeling (3 papers) and Multi-Criteria Decision Making (3 papers). The work is most often cited by research in Astronomy and Astrophysics (281 citations), Modeling and Simulation (45 citations), Computational Theory and Mathematics (60 citations), Virology (11 citations) and Computational Mechanics (46 citations). Arvind Kumar Sinha has collaborated with scholars based in India, Australia and United States. Frequent co-authors include Suraj N. Bhadani, Sumanta K. Sen Gupta, Awanish Kumar, Ashwani Kumar, Michael Ellsworth, Anand Prakash, Anuradha Dube, Pradeep Singh, Dharm Pal and Keith A. Laycock. Their work appears in journals such as Optimal Control Applications and Methods, Chaos Solitons & Fractals, Mathematical Methods in the Applied Sciences, Mathematical Biosciences and Journal of Theoretical Biology.

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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