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

Manil T. Mohan

CSE

FINAN

CTM

Matthias Geißert Germany

Gabriela Planas Brazil

Cung The Anh Vietnam

Paolo Acquistapace Italy

Pablo Groisman Argentina

Silvia Romanelli Italy

Mamadou Sango South Africa

Brunello Terreni Italy

Liping Xu China

Paul Raynaud de Fitte France

Matthias Geißert Germany

Manil T. Mohan

247 ×1.3

98 ×0.5

CSE

57 ×0.4

FINAN

204 ×1.4

CTM

131 ×1.2

Citations per year, relative to Manil T. Mohan Manil T. Mohan (= 1×) peers Matthias Geißert

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

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20 of 20 papers shown

Sankar, S., et al.. (2024). Lower and upper bounds for the explosion times of a system of semilinear SPDEs. Stochastics. 96(1). 846–886.

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

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

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

Mohan, Manil T.. (2023). Existence and Uniqueness of Solutions to Backward 2D and 3D Stochastic Convective Brinkman–Forchheimer Equations Forced by Lévy Noise. Mathematical Physics Analysis and Geometry. 26(3).

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

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

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

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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