Arvind Kumar Singh

515 citations
53 papers · 351 · h-index 9

Impact in

Papers in

    • Iterative Methods for Nonlinear Equations 8
    • Differential Equations and Numerical Methods 6
    • Numerical methods for differential equations 5
    • Advanced Optimization Algorithms Research 5
    • Fractional Differential Equations Solutions 9

Arvind Kumar Singh

46 papers receiving 331 citations

Peers

Arvind Kumar Singh
Comparison fields: 5 of 83
  • Modeling and Simulation 145
  • Numerical Analysis 130
  • Ophthalmology 42
  • Applied Mathematics 34
  • Geometry and Topology 23
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Citations per field
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Citations per year

Countries citing papers authored by Arvind Kumar Singh

Since Specialization
Citations

This map shows the geographic impact of Arvind Kumar Singh'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 Singh 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 Singh more than expected).

Fields of papers citing papers by Arvind Kumar Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Arvind Kumar Singh, 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 Singh Line = papers co-authored together Arvind Kumar Singh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200368
2 201334
3 201734
4 201723
5 200822
6 197822
7 200621
8 201814
9 202013
10 20177
11 20227
12 20216
13 20226
14 20066
15 20216
16 20175
17 20085
18
Design and Fabrication of Parabolic Trough Solar Water Heater for Hot Water Generation
20124
19 20214
20 20204

About Arvind Kumar Singh

Arvind Kumar Singh is a scholar working on Numerical Analysis, Modeling and Simulation, Infectious Diseases, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 53 papers that have together received 351 indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (9 papers), Iterative Methods for Nonlinear Equations (8 papers), Differential Equations and Numerical Methods (6 papers), Numerical methods for differential equations (5 papers), Advanced Optimization Algorithms Research (5 papers), Differential Equations and Boundary Problems (4 papers), Combustion and Detonation Processes (3 papers) and Risk and Safety Analysis (3 papers). The work is most often cited by research in Modeling and Simulation (145 citations), Numerical Analysis (130 citations), Ophthalmology (42 citations), Applied Mathematics (34 citations) and Geometry and Topology (23 citations). Arvind Kumar Singh has collaborated with scholars based in India, United States and Netherlands. Frequent co-authors include R.K. Pandey, A. K. Misra, Shiv Lal, Catherine A. McCarty, Govindasamy Kumaramanickavel, Radhika Srinivasan, Sundaram Natarajan, Albert Scherpbier, Fred Stevens and Vasudha Kemmanu. Their work appears in journals such as Journal of Computational and Applied Mathematics, Investigative Ophthalmology & Visual Science, Clinical Journal of the American Society of Nephrology, Ophthalmic Epidemiology and Cardiovascular & Haematological Disorders - Drug Targets.

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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