L. Shangerganesh

502 total citations
51 papers, 372 citations indexed

About

L. Shangerganesh is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Computational Theory and Mathematics. According to data from OpenAlex, L. Shangerganesh has authored 51 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Modeling and Simulation, 23 papers in Public Health, Environmental and Occupational Health and 12 papers in Computational Theory and Mathematics. Recurrent topics in L. Shangerganesh's work include Mathematical Biology Tumor Growth (26 papers), Mathematical and Theoretical Epidemiology and Ecology Models (23 papers) and Fractional Differential Equations Solutions (15 papers). L. Shangerganesh is often cited by papers focused on Mathematical Biology Tumor Growth (26 papers), Mathematical and Theoretical Epidemiology and Ecology Models (23 papers) and Fractional Differential Equations Solutions (15 papers). L. Shangerganesh collaborates with scholars based in India, Algeria and Russia. L. Shangerganesh's co-authors include Amar Debbouche, K. Balachandran, Sashikumaar Ganesan, Yong Zhou, Valery Antonov, J.‐C. Cortés, Delfim F. M. Torres, Juan J. Nieto, Sunil Kumar and Ahmed S. Hendy and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Chaos Solitons & Fractals.

In The Last Decade

L. Shangerganesh

42 papers receiving 359 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L. Shangerganesh India 11 294 110 97 87 85 51 372
B. Zubik–Kowal United States 13 238 0.8× 57 0.5× 80 0.8× 43 0.5× 260 3.1× 36 436
Yifu Wang China 16 508 1.7× 200 1.8× 199 2.1× 170 2.0× 87 1.0× 73 751
Manuel Delgado Spain 14 145 0.5× 246 2.2× 150 1.5× 155 1.8× 69 0.8× 50 471
Silvia Frassu Italy 10 151 0.5× 109 1.0× 41 0.4× 36 0.4× 96 1.1× 20 293
Cristian Morales-Rodrigo Spain 12 341 1.2× 128 1.2× 167 1.7× 62 0.7× 38 0.4× 31 475
Changchun Liu China 12 129 0.4× 177 1.6× 219 2.3× 52 0.6× 104 1.2× 87 483
Khadijeh Sadri Cyprus 17 406 1.4× 81 0.7× 15 0.2× 46 0.5× 179 2.1× 58 664
Mihaela Negreanu Spain 14 407 1.4× 23 0.2× 190 2.0× 104 1.2× 71 0.8× 50 617
Mostafa Bendahmane France 10 112 0.4× 202 1.8× 181 1.9× 92 1.1× 42 0.5× 14 339

Countries citing papers authored by L. Shangerganesh

Since Specialization
Citations

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

Fields of papers citing papers by L. Shangerganesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Shangerganesh

This figure shows the co-authorship network connecting the top 25 collaborators of L. Shangerganesh. A scholar is included among the top collaborators of L. Shangerganesh 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 L. Shangerganesh. L. Shangerganesh 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.
Shangerganesh, L., et al.. (2025). Hopf bifurcation and optimal control studies for avian-influenza virus with multi-delay model. Advances in Continuous and Discrete Models. 2025(1).
2.
3.
Shangerganesh, L., et al.. (2024). Stability analysis and numerical simulations of the infection spread of epidemics as a reaction–diffusion model. Mathematical Methods in the Applied Sciences. 47(12). 10068–10090.
4.
Shangerganesh, L., et al.. (2024). Dynamic behaviors for fractional epidemiological model featuring vaccination and quarantine compartments. Journal of Applied Mathematics and Computing. 71(1). 489–509. 2 indexed citations
5.
Debbouche, Amar, et al.. (2024). The Stability of Solutions of the Variable-Order Fractional Optimal Control Model for the COVID-19 Epidemic in Discrete Time. Mathematics. 12(8). 1236–1236. 4 indexed citations
6.
Shangerganesh, L., et al.. (2024). Convergence of BDF2-Galerkin finite element scheme for cancer invasion model. The European Physical Journal Special Topics. 234(8). 2557–2564.
7.
Shangerganesh, L., et al.. (2024). Transmission dynamics of fractional order SVEIR model for African swine fever virus with optimal control analysis. Scientific Reports. 14(1). 27185–27185.
8.
Shangerganesh, L., et al.. (2024). Dynamical analysis of a spatio-temporal model encompassing the avian flu transmission in human population. Journal of Applied Mathematics and Computing. 70(4). 2721–2742. 2 indexed citations
9.
Shangerganesh, L., et al.. (2020). Existence and Uniqueness of Time-fractional Nonlocal Diffusion Systems Modelling an Epidemic Disease. 11(2). 193–207. 1 indexed citations
10.
Shangerganesh, L., et al.. (2020). Mathematical analysis of an optimal control problem for the predator‐prey model with disease in prey. Optimal Control Applications and Methods. 41(5). 1495–1509. 5 indexed citations
11.
Shangerganesh, L., et al.. (2020). Finite element error analysis of a time-fractional nonlocal diffusion equation with the Dirichlet energy. Journal of Computational and Applied Mathematics. 382. 113066–113066. 15 indexed citations
12.
Shangerganesh, L., et al.. (2020). A time‐fractional competition ecological model with cross‐diffusion. Mathematical Methods in the Applied Sciences. 43(8). 5197–5211. 10 indexed citations
13.
Debbouche, Amar, et al.. (2019). Distributed optimal control of a tumor growth treatment model with cross-diffusion effect. The European Physical Journal Plus. 134(9). 15 indexed citations
14.
Shangerganesh, L., et al.. (2019). Numerical Solutions for Time-Fractional Cancer Invasion System With Nonlocal Diffusion. Frontiers in Physics. 7. 35 indexed citations
15.
Shangerganesh, L., et al.. (2018). Finite-time blow-up of solutions to a cancer invasion mathematical model with haptotaxis effects. Computers & Mathematics with Applications. 77(8). 2242–2254. 10 indexed citations
16.
Shangerganesh, L., et al.. (2018). Optimal control problem for cancer invasion parabolic system with nonlinear diffusion. Optimization. 67(10). 1819–1836. 1 indexed citations
17.
Shangerganesh, L., et al.. (2017). On the existence of weak solutions of nonlinear degenerate parabolic system with variable exponents. Computers & Mathematics with Applications. 75(1). 322–334. 7 indexed citations
18.
Ganesan, Sashikumaar & L. Shangerganesh. (2017). Galerkin finite element method for cancer invasion mathematical model. Computers & Mathematics with Applications. 73(12). 2603–2617. 29 indexed citations
19.
Shangerganesh, L. & K. Balachandran. (2013). Renormalized and entropy solutions of nonlinear parabolic systems. SHILAP Revista de lepidopterología. 2 indexed citations
20.
Shangerganesh, L., et al.. (2012). Weak solutions for p -Laplacian equation. Advances in Nonlinear Analysis. 1(4). 319–334. 4 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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