Manil T. Mohan

801 citations
86 papers · 375 indexed · h-index 10
Topics
Stability and Controllability of Differential Equations (41 papers)Advanced Mathematical Modeling in Engineering (37 papers)Stochastic processes and financial applications (35 papers)
Partner nations
IndiaUnited StatesChina

In The Last Decade

Manil T. Mohan

80 papers receiving 342 citations

Peers

Manil T. Mohan
Comparison fields: 5 of 38
  • Applied Mathematics 192
  • Control and Systems Engineering 188
  • Finance 152
  • Computational Theory and Mathematics 142
  • Mathematical Physics 111
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Manil T. Mohan relative to Matthias Geißert Germany Matthias Geißert's profile →
Citations per field
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Citations per year

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
#WorkIndexed citations
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Second order optimality conditions for optimal control problems governed by 2D nonlocal Cahn-Hillard-Navier-Stokes equations
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Pontryagin's maximum principle for optimal control of the nonlocal Cahn-Hilliard-Navier-Stokes systems in two dimensions
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Stochastic Non-Resistive Magnetohydrodynamic System with L\'{e}vy Noise
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Genetic variability for some quantitative traits in bottle gourd [Lagenaria siceraria (Molina) Standl.]
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About Manil T. Mohan

Manil T. Mohan is a scholar working on Applied Mathematics, Finance and Mathematical Physics, having authored 86 papers that have together received 375 indexed citations. Recurring topics across this 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). The work is most often cited by research in Applied Mathematics (192 citations), Finance (152 citations) and Mathematical Physics (111 citations). Manil T. Mohan has collaborated with scholars based in India, United States and China. Frequent 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. Their work appears in journals such as Journal of Mathematical Analysis and Applications, IEEE Sensors Journal and Journal of Differential Equations.

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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