Mehakpreet Singh

1.6k total citations
81 papers, 1.4k citations indexed

About

Mehakpreet Singh is a scholar working on Water Science and Technology, Modeling and Simulation and Computational Mechanics. According to data from OpenAlex, Mehakpreet Singh has authored 81 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Water Science and Technology, 23 papers in Modeling and Simulation and 19 papers in Computational Mechanics. Recurrent topics in Mehakpreet Singh's work include Coagulation and Flocculation Studies (42 papers), Fractional Differential Equations Solutions (23 papers) and Surfactants and Colloidal Systems (14 papers). Mehakpreet Singh is often cited by papers focused on Coagulation and Flocculation Studies (42 papers), Fractional Differential Equations Solutions (23 papers) and Surfactants and Colloidal Systems (14 papers). Mehakpreet Singh collaborates with scholars based in Ireland, India and United States. Mehakpreet Singh's co-authors include Gavin Walker, Jitendra Kumar, Hamza Y. Ismail, Randhir Singh, Ahmad B. Albadarin, Saeed Shirazian, Themis Matsoukas, Vivek V. Ranade, Sukhjit Singh and Andreas Bück and has published in prestigious journals such as Journal of Power Sources, Journal of Computational Physics and Food Chemistry.

In The Last Decade

Mehakpreet Singh

78 papers receiving 1.3k citations

Peers

Mehakpreet Singh

WST

Jitendra Kumar India

Dongdong He China

Hooman Fatoorehchi Iran

Jordan Hristov Bulgaria

Mohammad Madani Iran

Carlos A. Dorao Norway

Mirko Peglow Germany

Paulo L.C. Lage Brazil

Menwer Attarakih Jordan

Li Lee United States

Jitendra Kumar India

Mehakpreet Singh

1.0k ×1.5

WST

730 ×2.0

519 ×1.9

197 ×0.9

236 ×1.2

Citations per year, relative to Mehakpreet Singh Mehakpreet Singh (= 1×) peers Jitendra Kumar

Countries citing papers authored by Mehakpreet Singh

Since Specialization

Citations

This map shows the geographic impact of Mehakpreet 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 Mehakpreet Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mehakpreet Singh more than expected).

Fields of papers citing papers by Mehakpreet Singh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mehakpreet Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Mehakpreet Singh. A scholar is included among the top collaborators of Mehakpreet 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 Mehakpreet Singh. Mehakpreet Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Das, Ashok, et al.. (2025). A meshfree approach for the rennet-induced coagulation equation: Spline based multistage Bernstein collocation method and its convergence analysis. Applied Mathematical Modelling. 143. 116035–116035. 3 indexed citations

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).

Kazda, Tomáš, et al.. (2025). Comprehensive machine learning approaches for modelling the state of charge of lithium-ion batteries. Journal of Power Sources. 646. 236929–236929. 3 indexed citations

Singh, Randhir, et al.. (2024). Highly efficient optimal decomposition approach and its mathematical analysis for solving fourth-order Lane–Emden–Fowler equations. Journal of Computational and Applied Mathematics. 456. 116238–116238. 1 indexed citations

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

Singh, Mehakpreet, et al.. (2024). An opportunity for streamlined computational fluid dynamics integration via a semi-analytical method for weighted finite volume fragmentation equations. Physics of Fluids. 36(12). 1 indexed citations

Kumar, Jitendra, et al.. (2024). Optimizing numerical performance of enzymatic coagulation models: Insight into proteolysis and gelation dynamics. Physics of Fluids. 36(11). 3 indexed citations

Ramos, Higinio, et al.. (2023). An efficient technique based on Green’s function for solving two-point boundary value problems and its convergence analysis. Mathematics and Computers in Simulation. 210. 408–423. 6 indexed citations

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

10.

Das, Ashok, et al.. (2023). Enhancing efficiency in particle aggregation simulations: Coarse-grained particle modeling in the DEM-PBM coupled framework. Computer Methods in Applied Mechanics and Engineering. 417. 116436–116436. 12 indexed citations

11.

Singh, Mehakpreet. (2023). Rate of convergence of two moments consistent finite volume scheme for non-classical divergence coagulation equation. Applied Numerical Mathematics. 187. 120–137. 3 indexed citations

12.

Singh, Randhir, et al.. (2023). An algorithm based on homotopy perturbation theory and its mathematical analysis for singular nonlinear system of boundary value problems. Mathematical Methods in the Applied Sciences. 48(7). 7745–7766. 6 indexed citations

13.

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

14.

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

15.

Singh, Mehakpreet, et al.. (2023). A Note on the Volume Conserving Solution to Simultaneous Aggregation and Collisional Breakage Equation. Axioms. 12(2). 181–181. 3 indexed citations

16.

Singh, Mehakpreet, et al.. (2023). Improved higher-order finite volume scheme and its convergence analysis for collisional breakage equation. Applied Numerical Mathematics. 196. 118–132. 7 indexed citations

17.

Singh, Mehakpreet, et al.. (2023). A comparative study of the fixed pivot technique and finite volume schemes for multi-dimensional breakage population balances. Advanced Powder Technology. 34(12). 104272–104272. 7 indexed citations

18.

Singh, Mehakpreet, et al.. (2023). Rate of convergence and stability analysis of a modified fixed pivot technique for a fragmentation equation. Numerische Mathematik. 153(2-3). 531–555. 11 indexed citations

19.

Singh, Mehakpreet, et al.. (2022). Development of a new iterative method and its convergence analysis for nonlinear fourth‐order boundary value problems arising in beam analysis. Mathematical Methods in the Applied Sciences. 48(7). 7335–7343. 3 indexed citations

20.

Tiwari, Kavindra Nath, et al.. (2012). Assessment of Land and Water Resources of Mine Affected Watershed in India using Remote Sensing and GIS. International Journal of Agriculture Environment and Biotechnology. 5(4). 333–344.

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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