Sukhjit Singh
Impact in
- Modeling and Simulation top 5%
- Fractional Differential Equations Solutions
- Numerical Analysis top 5%
- Iterative Methods for Nonlinear Equations
- Advanced Optimization Algorithms Research
Papers in
-
- Iterative Methods for Nonlinear Equations 33
- Advanced Optimization Algorithms Research 17
-
- Fractional Differential Equations Solutions 23
- Co-authors
- Mehakpreet Singh (14 shared papers)Dharmendra Kumar Gupta (17 shared papers)Eulalia Martı́nez (21 shared papers)Randhir Singh (7 shared papers)José Luis Hueso (6 shared papers)Jitendra Kumar (6 shared papers)Sujeet Raina (3 shared papers)Vishav Chander (3 shared papers)
In The Last Decade
Sukhjit Singh
44 papers receiving 426 citations
Peers
Comparison fields: 5 of 79
- Modeling and Simulation 123
- Numerical Analysis 149
- Water Science and Technology 83
- Computational Theory and Mathematics 59
- Computational Mechanics 71
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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1958 | 57 | |
| 2 | 2014 | 38 | |
| 3 | 2016 | 31 | |
| 4 | 2016 | 27 | |
| 5 | 2020 | 26 | |
| 6 | 2023 | 23 | |
| 7 | 2016 | 20 | |
| 8 | 2023 | 19 | |
| 9 | 2019 | 18 | |
| 10 | 2024 | 18 | |
| 11 | 2013 | 17 | |
| 12 | 2023 | 16 | |
| 13 | 2016 | 13 | |
| 14 | 2016 | 12 | |
| 15 | 2013 | 12 | |
| 16 | 2024 | 12 | |
| 17 | 2017 | 11 | |
| 18 | 2024 | 11 | |
| 19 | 2017 | 5 | |
| 20 | 2024 | 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 53 papers that have together received 435 indexed citations. Recurring topics across this work include Iterative Methods for Nonlinear Equations (33 papers), Fractional Differential Equations Solutions (23 papers), Advanced Optimization Algorithms Research (17 papers), Matrix Theory and Algorithms (13 papers), Coagulation and Flocculation Studies (8 papers), Numerical methods in inverse problems (7 papers), Groundwater flow and contamination studies (3 papers) and Numerical Methods and Algorithms (3 papers). The work is most often cited by research in Modeling and Simulation (123 citations), Numerical Analysis (149 citations), Water Science and Technology (83 citations), Computational Theory and Mathematics (59 citations) and Computational Mechanics (71 citations). Sukhjit Singh has collaborated with scholars based in India, Spain and Ireland. Frequent co-authors include Mehakpreet Singh, Dharmendra Kumar Gupta, Eulalia Martı́nez, Randhir Singh, José Luis Hueso, Jitendra Kumar, Sujeet Raina, Vishav Chander, Ashoo Grover and abdul majid wazwaz. Their work appears in journals such as Applied Mathematics and Computation, Journal of Computational and Applied Mathematics, Transactions of the American Mathematical Society, Powder Technology and Proceedings of the Royal Society A Mathematical Physical and Engineering 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.