Sukhjit Singh
Impact in
- Modeling and Simulation top 2%
- Fractional Differential Equations Solutions
- Numerical Analysis top 5%
- Iterative Methods for Nonlinear Equations
- Advanced Optimization Algorithms Research
Papers in
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- Iterative Methods for Nonlinear Equations 28
- Advanced Optimization Algorithms Research 15
-
- Fractional Differential Equations Solutions 21
- Co-authors
- Mehakpreet Singh (13 shared papers)D. K. Gupta (18 shared papers)Eulalia Martı́nez (19 shared papers)Randhir Singh (7 shared papers)Jitendra Kumar (7 shared papers)José L. Hueso (6 shared papers)Ashoo Grover (3 shared papers)Vishav Chander (3 shared papers)
In The Last Decade
Sukhjit Singh
40 papers receiving 372 citations
Peers
Comparison fields: 5 of 81
- Modeling and Simulation 112
- Numerical Analysis 122
- Water Science and Technology 81
- Computational Mechanics 70
- Computational Theory and Mathematics 42
Countries citing papers authored by Sukhjit Singh
This map shows the geographic impact of Sukhjit 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 Sukhjit Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sukhjit Singh more than expected).
Fields of papers citing papers by Sukhjit Singh
This network shows the impact of papers produced by Sukhjit 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 Sukhjit Singh. The network helps show where Sukhjit Singh may publish in the future.
Co-authors
The 23 scholars most cited alongside Sukhjit Singh, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1958 | 57 | |
| 2 | 2014 | 35 | |
| 3 | 2016 | 27 | |
| 4 | 2020 | 24 | |
| 5 | 2016 | 22 | |
| 6 | 2023 | 21 | |
| 7 | 2023 | 18 | |
| 8 | 2019 | 16 | |
| 9 | 2013 | 16 | |
| 10 | 2024 | 15 | |
| 11 | 2016 | 15 | |
| 12 | 2023 | 14 | |
| 13 | 2016 | 12 | |
| 14 | 2013 | 11 | |
| 15 | 2016 | 11 | |
| 16 | 2024 | 10 | |
| 17 | 2024 | 9 | |
| 18 | 2017 | 7 | |
| 19 | 2017 | 5 | |
| 20 | 2020 | 4 |
About Sukhjit Singh
Sukhjit Singh is a scholar working on Numerical Analysis, Modeling and Simulation, Computational Theory and Mathematics, Mathematical Physics and Water Science and Technology, having authored 48 papers that have together received 383 indexed citations. Recurring topics across this work include Iterative Methods for Nonlinear Equations (28 papers), Fractional Differential Equations Solutions (21 papers), Advanced Optimization Algorithms Research (15 papers), Matrix Theory and Algorithms (10 papers), Coagulation and Flocculation Studies (8 papers), Numerical methods in inverse problems (6 papers), Surfactants and Colloidal Systems (3 papers) and Dementia and Cognitive Impairment Research (3 papers). The work is most often cited by research in Modeling and Simulation (112 citations), Numerical Analysis (122 citations), Water Science and Technology (81 citations), Computational Mechanics (70 citations) and Computational Theory and Mathematics (42 citations). Sukhjit Singh has collaborated with scholars based in India, Spain and Ireland. Frequent co-authors include Mehakpreet Singh, D. K. Gupta, Eulalia Martı́nez, Randhir Singh, Jitendra Kumar, José L. Hueso, Ashoo Grover, Vishav Chander, Sujeet Raina and Gavin Walker. Their work appears in journals such as Applied Mathematics and Computation, Transactions of the American Mathematical Society, Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences, Powder Technology and Chaos Solitons & Fractals.
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.