Sukhjit Singh

582 total citations
48 papers, 383 citations indexed

About

Sukhjit Singh is a scholar working on Numerical Analysis, Modeling and Simulation and Computational Theory and Mathematics. According to data from OpenAlex, Sukhjit Singh has authored 48 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Numerical Analysis, 21 papers in Modeling and Simulation and 13 papers in Computational Theory and Mathematics. Recurrent topics in Sukhjit Singh's work include Iterative Methods for Nonlinear Equations (28 papers), Fractional Differential Equations Solutions (21 papers) and Advanced Optimization Algorithms Research (15 papers). Sukhjit Singh is often cited by papers focused on Iterative Methods for Nonlinear Equations (28 papers), Fractional Differential Equations Solutions (21 papers) and Advanced Optimization Algorithms Research (15 papers). Sukhjit Singh collaborates with scholars based in India, Spain and Ireland. Sukhjit Singh's co-authors include Mehakpreet Singh, D. K. Gupta, Eulalia Martı́nez, Randhir Singh, José L. Hueso, Jitendra Kumar, Sujeet Raina, Vishav Chander, Ashoo Grover and Gavin Walker and has published in prestigious journals such as Physics of Fluids, Journal of Mathematical Analysis and Applications and Powder Technology.

In The Last Decade

Sukhjit Singh

40 papers receiving 372 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sukhjit Singh India 13 122 112 81 70 58 48 383
Piotr Skrzypacz Kazakhstan 12 121 1.0× 90 0.8× 5 0.1× 208 3.0× 55 0.9× 46 517
Edmundo del Valle Mexico 10 29 0.2× 90 0.8× 25 0.3× 103 1.5× 59 1.0× 40 433
Gongsheng Li China 11 125 1.0× 290 2.6× 4 0.0× 19 0.3× 12 0.2× 47 453
Manuel Zamora Spain 9 58 0.5× 34 0.3× 4 0.0× 7 0.1× 30 0.5× 31 394
C. Harley South Africa 13 140 1.1× 180 1.6× 2 0.0× 92 1.3× 105 1.8× 47 411
Leilei Wei China 17 576 4.7× 750 6.7× 14 0.2× 38 0.5× 12 0.2× 61 893
Youngjin Hwang South Korea 10 34 0.3× 42 0.4× 3 0.0× 52 0.7× 9 0.2× 60 258
Akram Hossain Bangladesh 11 18 0.1× 95 0.8× 11 0.1× 75 1.1× 121 2.1× 25 354
Milan Kučera Czechia 12 63 0.5× 29 0.3× 9 0.1× 12 0.2× 62 495

Countries citing papers authored by Sukhjit Singh

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Sukhjit Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Sukhjit Singh. A scholar is included among the top collaborators of Sukhjit Singh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sukhjit Singh. Sukhjit Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Singh, Mehakpreet, et al.. (2025). A new and unified semi-analytical method with a convergence acceleration parameter for linear and nonlinear fragmentation equations. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 481(2312).
2.
Singh, Mehakpreet, et al.. (2024). An efficient approach to obtain analytical solution of nonlinear particle aggregation equation for longer time domains. Advanced Powder Technology. 35(3). 104370–104370. 9 indexed citations
3.
Singh, Mehakpreet, et al.. (2024). Modified variational iteration method and its convergence analysis for solving nonlinear aggregation population balance equation. Computers & Fluids. 274. 106233–106233. 15 indexed citations
4.
5.
Singh, Sukhjit, et al.. (2024). Semilocal convergence of Chebyshev Kurchatov type methods for non-differentiable operators. Computers & Mathematics with Applications. 170. 275–281.
6.
7.
Singh, Sukhjit, et al.. (2023). Homotopy analysis method and its convergence analysis for a nonlinear simultaneous aggregation-fragmentation model. Chaos Solitons & Fractals. 177. 114204–114204. 18 indexed citations
8.
Singh, Mehakpreet, et al.. (2023). A note on homotopy perturbation approach for nonlinear coagulation equation to improve series solutions for longer times. Chaos Solitons & Fractals. 173. 113628–113628. 21 indexed citations
9.
Das, Ashok, et al.. (2023). Homotopy perturbation method and its convergence analysis for nonlinear collisional fragmentation equations. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 479(2279). 14 indexed citations
10.
Gupta, D. K., et al.. (2021). Recurrence relations for a family of iterations assuming Hölder continuous second order Fréchet derivative. International Journal of Nonlinear Sciences and Numerical Simulation. 22(3-4). 267–285. 1 indexed citations
11.
Hernández, M.A., Eulalia Martı́nez, & Sukhjit Singh. (2021). On the Chandrasekhar integral equation. Computational and Mathematical Methods. 3(6). 3 indexed citations
12.
Hernández, M.A., María Dolores Ibáñez, Eulalia Martı́nez, & Sukhjit Singh. (2020). Localization and separation of solutions for Fredholm integral equations. Journal of Mathematical Analysis and Applications. 487(2). 124008–124008. 1 indexed citations
13.
14.
Gupta, D. K., et al.. (2017). Semilocal convergence of a Secant-type method under weak Lipschitz conditions in Banach spaces. Journal of Computational and Applied Mathematics. 330. 732–741. 7 indexed citations
15.
Singh, Sukhjit, D. K. Gupta, Randhir Singh, Mehakpreet Singh, & Eulalia Martı́nez. (2017). Convergence of an Iteration of Fifth-Order Using Weaker Conditions on First Order Fréchet Derivative in Banach Spaces. International Journal of Computational Methods. 15(6). 1850048–1850048. 1 indexed citations
16.
Singh, Sukhjit, D. K. Gupta, Eulalia Martı́nez, & José L. Hueso. (2016). Semilocal and local convergence of a fifth order iteration with Fréchet derivative satisfying Hölder condition. Applied Mathematics and Computation. 276. 266–277. 11 indexed citations
17.
Gupta, D. K., et al.. (2016). Semilocal convergence of Stirling's method for fixed points in Banach spaces. International Journal of Mathematics in Operational Research. 9(2). 243–243. 1 indexed citations
18.
Singh, Sukhjit & D. K. Gupta. (2015). Eigenvalues bounds for symmetric interval matrices. International Journal of Computing Science and Mathematics. 6(4). 311–311. 3 indexed citations
19.
Raina, Sujeet, et al.. (2014). Is Dementia Differentially Distributed? A Study on the Prevalence of Dementia in Migrant, Urban, Rural, and Tribal Elderly Population of Himalayan Region in Northern India. North American Journal of Medical Sciences. 6(4). 172–172. 35 indexed citations
20.
Raina, Sujeet, et al.. (2013). Identifying risk for dementia across populations: A study on the prevalence of dementia in tribal elderly population of Himalayan region in Northern India. Annals of Indian Academy of Neurology. 16(4). 640–640. 11 indexed citations

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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