Trilok Mathur
Impact in
- Modeling and Simulation top 2%
- Fractional Differential Equations Solutions
- COVID-19 epidemiological studies
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- Differential Equations and Numerical Methods
Papers in
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- Fractional Differential Equations Solutions 17
- COVID-19 epidemiological studies 6
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- Mathematical and Theoretical Epidemiology and Ecology Models 10
- Co-authors
- Shivi Agarwal (30 shared papers)Kamlesh Tiwari (5 shared papers)Phalguni Gupta (1 shared paper)Narinderjit Singh Sawaran Singh (4 shared papers)Swati Goyal (1 shared paper)Gholam R. Amin (1 shared paper)Harish Puppala (2 shared papers)Hari Mohan Pandey (1 shared paper)
In The Last Decade
Trilok Mathur
32 papers receiving 324 citations
Peers
Comparison fields: 5 of 72
- Modeling and Simulation 150
- Numerical Analysis 32
- Applied Mathematics 43
- Management Science and Operations Research 44
- Statistical and Nonlinear Physics 34
Countries citing papers authored by Trilok Mathur
This map shows the geographic impact of Trilok Mathur'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 Trilok Mathur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Trilok Mathur more than expected).
Fields of papers citing papers by Trilok Mathur
This network shows the impact of papers produced by Trilok Mathur. 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 Trilok Mathur. The network helps show where Trilok Mathur may publish in the future.
Co-authors
The 17 scholars most cited alongside Trilok Mathur, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 107 | |
| 2 | 2021 | 29 | |
| 3 | 2022 | 19 | |
| 4 | 2021 | 19 | |
| 5 | 2022 | 18 | |
| 6 | 2023 | 14 | |
| 7 | 2025 | 13 | |
| 8 | 2022 | 11 | |
| 9 | 2023 | 10 | |
| 10 | 2024 | 9 | |
| 11 | 2025 | 7 | |
| 12 | 2021 | 7 | |
| 13 | 2023 | 7 | |
| 14 | 2024 | 6 | |
| 15 | 2021 | 6 | |
| 16 | 2023 | 6 | |
| 17 | 2022 | 5 | |
| 18 | 2023 | 5 | |
| 19 | 2023 | 5 | |
| 20 | 2024 | 4 |
About Trilok Mathur
Trilok Mathur is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health, Control and Systems Engineering, Management Science and Operations Research and Applied Mathematics, having authored 37 papers that have together received 334 indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (17 papers), Mathematical and Theoretical Epidemiology and Ecology Models (10 papers), COVID-19 epidemiological studies (6 papers), Nonlinear Differential Equations Analysis (6 papers), Advanced Control Systems Design (4 papers), Efficiency Analysis Using DEA (4 papers), Optimization and Mathematical Programming (3 papers) and Differential Equations and Boundary Problems (3 papers). The work is most often cited by research in Modeling and Simulation (150 citations), Numerical Analysis (32 citations), Applied Mathematics (43 citations), Management Science and Operations Research (44 citations) and Statistical and Nonlinear Physics (34 citations). Trilok Mathur has collaborated with scholars based in India, Malaysia and Iran. Frequent co-authors include Shivi Agarwal, Kamlesh Tiwari, Phalguni Gupta, Narinderjit Singh Sawaran Singh, Swati Goyal, Gholam R. Amin, Harish Puppala, Hari Mohan Pandey, Ruchi Mathur and Arvind Kumar Gupta. Their work appears in journals such as Chaos Solitons & Fractals, Mathematical Methods in the Applied Sciences, IMA Journal of Management Mathematics, Neurocomputing and Annals of Operations Research.
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.