Manil T. Mohan

801 total citations
86 papers, 375 citations indexed

About

Manil T. Mohan is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics and Applied Mathematics. According to data from OpenAlex, Manil T. Mohan has authored 86 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Control and Systems Engineering, 41 papers in Computational Theory and Mathematics and 40 papers in Applied Mathematics. Recurrent topics in Manil T. Mohan's work include Stability and Controllability of Differential Equations (41 papers), Advanced Mathematical Modeling in Engineering (37 papers) and Stochastic processes and financial applications (35 papers). Manil T. Mohan is often cited by papers focused on Stability and Controllability of Differential Equations (41 papers), Advanced Mathematical Modeling in Engineering (37 papers) and Stochastic processes and financial applications (35 papers). Manil T. Mohan collaborates with scholars based in India, United States and China. Manil T. Mohan's co-authors include S. S. Sritharan, Jaydev Dabas, Renhai Wang, Kazuo Yamazaki, A. Anguraj, K. Ravikumar, K. T. Arasu, K. Balachandran, S. M. Mahajan and S. Sankar and has published in prestigious journals such as Journal of Mathematical Analysis and Applications, IEEE Sensors Journal and Journal of Differential Equations.

In The Last Decade

Manil T. Mohan

80 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manil T. Mohan India 10 192 188 152 142 111 86 375
Matthias Geißert Germany 12 247 1.3× 98 0.5× 57 0.4× 204 1.4× 131 1.2× 22 374
Gabriela Planas Brazil 11 346 1.8× 191 1.0× 19 0.1× 131 0.9× 150 1.4× 34 461
Cung The Anh Vietnam 14 301 1.6× 441 2.3× 30 0.2× 431 3.0× 240 2.2× 75 568
Paolo Acquistapace Italy 12 449 2.3× 374 2.0× 55 0.4× 349 2.5× 183 1.6× 31 651
Pablo Groisman Argentina 11 71 0.4× 49 0.3× 37 0.2× 116 0.8× 119 1.1× 34 266
Silvia Romanelli Italy 14 244 1.3× 202 1.1× 23 0.2× 342 2.4× 291 2.6× 48 494
Mamadou Sango South Africa 14 251 1.3× 108 0.6× 242 1.6× 311 2.2× 84 0.8× 48 495
Brunello Terreni Italy 10 251 1.3× 235 1.3× 42 0.3× 215 1.5× 99 0.9× 15 384
Liping Xu China 10 215 1.1× 90 0.5× 49 0.3× 117 0.8× 95 0.9× 59 325
Paul Raynaud de Fitte France 8 128 0.7× 95 0.5× 75 0.5× 59 0.4× 39 0.4× 22 217

Countries citing papers authored by Manil T. Mohan

Since Specialization
Citations

This map shows the geographic impact of Manil T. Mohan'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 Manil T. Mohan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manil T. Mohan more than expected).

Fields of papers citing papers by Manil T. Mohan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manil T. Mohan. 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 Manil T. Mohan. The network helps show where Manil T. Mohan may publish in the future.

Co-authorship network of co-authors of Manil T. Mohan

This figure shows the co-authorship network connecting the top 25 collaborators of Manil T. Mohan. A scholar is included among the top collaborators of Manil T. Mohan 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 Manil T. Mohan. Manil T. Mohan 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.
Sankar, S., et al.. (2024). Lower and upper bounds for the explosion times of a system of semilinear SPDEs. Stochastics. 96(1). 846–886.
2.
Mohan, Manil T., et al.. (2023). Finite-Approximate Controllability of Impulsive Fractional Functional Evolution Equations of Order $$1<\alpha <2$$. Journal of Optimization Theory and Applications. 197(3). 855–890. 1 indexed citations
3.
Mohan, Manil T., et al.. (2023). Efficient Strategies for Signal Aggregation in Low-Power Wireless Sensor Networks With Discrete Transmission Ranges. IEEE Sensors Letters. 7(3). 1–4. 3 indexed citations
4.
Mohan, Manil T., et al.. (2023). Energy-efficient Data Aggregation in Low-power Wireless Networks with Sensors of Discrete Transmission Ranges: A Mathematical Framework for Network Design. IEEE Transactions on Network Science and Engineering. 1–12. 2 indexed citations
6.
Gautam, Sagar, et al.. (2023). 2D and 3D convective Brinkman-Forchheimer equations perturbed by a subdifferential and applications to control problems. Mathematical Control and Related Fields. 14(3). 1048–1085. 1 indexed citations
7.
Mohan, Manil T., et al.. (2023). Random attractors and invariant measures for stochastic convective Brinkman-Forchheimer equations on 2D and 3D unbounded domains. Discrete and Continuous Dynamical Systems - B. 29(1). 377–425. 5 indexed citations
8.
Mohan, Manil T., et al.. (2022). Data Aggregation in Low-Power Wireless Sensor Networks With Discrete Transmission Ranges: Sensor Signal Aggregation Over Graph. IEEE Sensors Journal. 22(21). 21135–21144. 5 indexed citations
9.
Mohan, Manil T., et al.. (2022). Networking of Sensors With Fixed Transmission Ranges: Distributed Data Processing Over Graphs. IEEE Networking Letters. 5(2). 76–80. 2 indexed citations
10.
Mohan, Manil T., et al.. (2022). Well-posedness of an inverse problem for two- and three-dimensional convective Brinkman-Forchheimer equations with the final overdetermination. Inverse Problems and Imaging. 16(5). 1255–1255. 2 indexed citations
11.
Mohan, Manil T.. (2021). Exponential inequalities for exit times for two dimensional stochastic tidal dynamics equations. Stochastic Analysis and Applications. 40(2). 268–303. 2 indexed citations
12.
Mohan, Manil T., et al.. (2021). Second order optimality conditions for optimal control problems governed by 2D nonlocal Cahn-Hillard-Navier-Stokes equations. Nonlinear studies. 28(1). 29–43. 1 indexed citations
13.
Mohan, Manil T., et al.. (2020). On the generalized Burgers-Huxley equation: Existence, uniqueness, regularity, global attractors and numerical studies. Discrete and Continuous Dynamical Systems - B. 26(7). 3943–3988. 8 indexed citations
14.
Mohan, Manil T., et al.. (2020). Approximate controllability of a Sobolev type impulsive functional evolution system in Banach spaces. Mathematical Control and Related Fields. 11(4). 857–857. 7 indexed citations
15.
Ravikumar, K., Manil T. Mohan, & A. Anguraj. (2020). Approximate controllability of a non-autonomous evolution equation in Banach spaces. Numerical Algebra Control and Optimization. 11(3). 461–461. 12 indexed citations
16.
Mohan, Manil T.. (2019). On the three dimensional Kelvin-Voigt fluids: global solvability, exponential stability and exact controllability of Galerkin approximations. Evolution equations and control theory. 9(2). 301–339. 22 indexed citations
17.
Mohan, Manil T., et al.. (2018). Pontryagin's maximum principle for optimal control of the nonlocal Cahn-Hilliard-Navier-Stokes systems in two dimensions. arXiv (Cornell University). 1 indexed citations
18.
Mohan, Manil T., et al.. (2017). Stochastic non-resistive magnetohydrodynamic system with L\'{e}vy noise. Random Operators and Stochastic Equations. 25(3). 155–193. 9 indexed citations
19.
Mohan, Manil T., et al.. (2015). Stochastic Non-Resistive Magnetohydrodynamic System with L\'{e}vy Noise. Bulletin of the American Physical Society. 3 indexed citations
20.
Singh, Surendra, et al.. (2015). Genetic variability for some quantitative traits in bottle gourd [Lagenaria siceraria (Molina) Standl.]. Annals of Horticulture. 8(1). 113–115. 1 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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