Deepak Subramani

882 total citations
36 papers, 586 citations indexed

About

Deepak Subramani is a scholar working on Ocean Engineering, Oceanography and Atmospheric Science. According to data from OpenAlex, Deepak Subramani has authored 36 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Ocean Engineering, 11 papers in Oceanography and 10 papers in Atmospheric Science. Recurrent topics in Deepak Subramani's work include Oceanographic and Atmospheric Processes (11 papers), Maritime Navigation and Safety (10 papers) and Meteorological Phenomena and Simulations (8 papers). Deepak Subramani is often cited by papers focused on Oceanographic and Atmospheric Processes (11 papers), Maritime Navigation and Safety (10 papers) and Meteorological Phenomena and Simulations (8 papers). Deepak Subramani collaborates with scholars based in United States, India and Germany. Deepak Subramani's co-authors include Pierre F. J. Lermusiaux, Patrick J. Haley, Tapovan Lolla, Chinmay S. Kulkarni, Panagiotis Tsiotras, Chris Mirabito, Sudip Jana, Abhinav Gupta, Nadia Pinardi and Gianandrea Mannarini and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Computer Methods in Applied Mechanics and Engineering and International Journal for Numerical Methods in Engineering.

In The Last Decade

Deepak Subramani

31 papers receiving 565 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deepak Subramani United States 15 249 174 145 132 93 36 586
Tapovan Lolla United States 9 256 1.0× 213 1.2× 83 0.6× 142 1.1× 31 0.3× 9 471
Mattheus P. Ueckermann United States 7 163 0.7× 142 0.8× 78 0.5× 59 0.4× 39 0.4× 10 369
Bartolomé Garau Spain 15 499 2.0× 215 1.2× 539 3.7× 105 0.8× 149 1.6× 27 979
Fan Mo China 16 181 0.7× 115 0.7× 39 0.3× 106 0.8× 41 0.4× 97 765
Yongshou Dai China 14 192 0.8× 63 0.4× 195 1.3× 253 1.9× 80 0.9× 106 657
Raffaele Grasso Italy 14 229 0.9× 40 0.2× 256 1.8× 256 1.9× 32 0.3× 60 921
Dušan Gleich Slovenia 17 154 0.6× 255 1.5× 29 0.2× 268 2.0× 79 0.8× 100 817
Guillaume Hajduch France 11 228 0.9× 62 0.4× 93 0.6× 260 2.0× 23 0.2× 24 578
Lena Chang Taiwan 14 77 0.3× 240 1.4× 91 0.6× 213 1.6× 207 2.2× 51 744
Constantinos Evangelinos United States 11 132 0.5× 84 0.5× 61 0.4× 85 0.6× 36 0.4× 25 590

Countries citing papers authored by Deepak Subramani

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Subramani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepak Subramani

This figure shows the co-authorship network connecting the top 25 collaborators of Deepak Subramani. A scholar is included among the top collaborators of Deepak Subramani 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 Deepak Subramani. Deepak Subramani 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.
Subramani, Deepak, et al.. (2025). EvalYaks: Instruction tuning datasets and LoRA fine-tuned models for automated scoring of CEFR B2 speaking assessment transcripts. Computers and Education Artificial Intelligence. 10. 100539–100539.
2.
Subramani, Deepak, et al.. (2025). Global climate model bias correction using deep learning. ArXiv.org. 1(1). 15001–15001.
3.
Subramani, Deepak, et al.. (2025). PINTO: Physics-informed transformer neural operator for learning generalized solutions of partial differential equations for any initial and boundary condition. Computer Physics Communications. 315. 109702–109702. 1 indexed citations
4.
Oommen, Meera Anna, et al.. (2024). An agent-based model of elephant crop raid dynamics in the Periyar–Agasthyamalai complex, India. Ecological Modelling. 496. 110843–110843.
5.
Subramani, Deepak, et al.. (2023). Cause and impact of Andaman Sea's salinity variability: A modeling study. Deep Sea Research Part II Topical Studies in Oceanography. 209. 105291–105291. 2 indexed citations
6.
Subramani, Deepak, et al.. (2022). 4D-Var Data Assimilation of Sea Surface Temperature in a Regional Model of the Andaman Sea. OCEANS 2022, Hampton Roads. 1–6. 2 indexed citations
7.
Subramani, Deepak, et al.. (2022). GPU-Accelerated Multi-Objective Optimal Planning in Stochastic Dynamic Environments. Journal of Marine Science and Engineering. 10(4). 533–533. 3 indexed citations
8.
Gangopadhyay, Avijit, et al.. (2021). W-Net: A Deep Network for Simultaneous Identification of Gulf Stream and Rings From Concurrent Satellite Images of Sea Surface Temperature and Height. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–13. 8 indexed citations
9.
Subramani, Deepak, et al.. (2020). Development of snack bars from puffed quinoa and its sensory evaluation. International Journal of Food Sciences and Nutrition. 5(3). 30–33. 2 indexed citations
10.
Subramani, Deepak, et al.. (2020). Super-Resolution of Sea Surface Temperature Satellite Images. Global Oceans 2020: Singapore – U.S. Gulf Coast. 1–7. 4 indexed citations
11.
Mannarini, Gianandrea, Deepak Subramani, Pierre F. J. Lermusiaux, & Nadia Pinardi. (2019). Graph-Search and Differential Equations for Time-Optimal Vessel Route Planning in Dynamic Ocean Waves. IEEE Transactions on Intelligent Transportation Systems. 21(8). 3581–3593. 31 indexed citations
12.
Subramani, Deepak & Pierre F. J. Lermusiaux. (2019). Risk-optimal path planning in stochastic dynamic environments. Computer Methods in Applied Mechanics and Engineering. 353. 391–415. 35 indexed citations
13.
Gupta, Abhinav, Patrick J. Haley, Deepak Subramani, & Pierre F. J. Lermusiaux. (2019). Fish Modeling and Bayesian Learning for the Lakshadweep Islands. 1–10. 16 indexed citations
14.
Subramani, Deepak, et al.. (2018). Time-Optimal Multi-Waypoint Mission Planning in Dynamic Environments. 6. 1–8. 1 indexed citations
15.
Kulkarni, Chinmay S., Patrick J. Haley, Pierre F. J. Lermusiaux, et al.. (2018). Real-time sediment plume modeling in the Southern California bight. 1–10. 19 indexed citations
16.
Subramani, Deepak, et al.. (2018). Stochastic time-optimal path-planning in uncertain, strong, and dynamic flows. Computer Methods in Applied Mechanics and Engineering. 333. 218–237. 47 indexed citations
17.
Lermusiaux, Pierre F. J., Patrick J. Haley, Sudip Jana, et al.. (2017). Optimal Planning and Sampling Predictions for Autonomous and Lagrangian Platforms and Sensors in the Northern Arabian Sea. Oceanography. 30(2). 172–185. 33 indexed citations
18.
Mirabito, Chris, Deepak Subramani, Tapovan Lolla, et al.. (2017). Autonomy for surface ship interception. OCEANS 2017 - Aberdeen. 1–10. 9 indexed citations
19.
Subramani, Deepak, Pierre F. J. Lermusiaux, Patrick J. Haley, et al.. (2017). Time-optimal path planning: Real-time sea exercises. OCEANS 2017 - Aberdeen. 1–10. 28 indexed citations
20.
Subramani, Deepak, et al.. (2012). On the Effect of Non-Raining Parameters in Retrieval of Surface Rain Rate Using TRMM PR and TMI Measurements. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 5(3). 735–743. 17 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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