Sathish Sankaran

817 total citations
81 papers, 610 citations indexed

About

Sathish Sankaran is a scholar working on Ocean Engineering, Mechanical Engineering and Control and Systems Engineering. According to data from OpenAlex, Sathish Sankaran has authored 81 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Ocean Engineering, 52 papers in Mechanical Engineering and 6 papers in Control and Systems Engineering. Recurrent topics in Sathish Sankaran's work include Reservoir Engineering and Simulation Methods (68 papers), Hydraulic Fracturing and Reservoir Analysis (51 papers) and Oil and Gas Production Techniques (38 papers). Sathish Sankaran is often cited by papers focused on Reservoir Engineering and Simulation Methods (68 papers), Hydraulic Fracturing and Reservoir Analysis (51 papers) and Oil and Gas Production Techniques (38 papers). Sathish Sankaran collaborates with scholars based in United States, United Kingdom and Netherlands. Sathish Sankaran's co-authors include Akhil Datta‐Gupta, Luigi Saputelli, Neha Bansal, Wenyue Sun, D. Molinari, Yusuke Fujita, Michael Nikolaou, Micháel J. King, Yanbin Zhang and Zhenyu Guo and has published in prestigious journals such as Journal of Petroleum Science and Engineering, SPE Journal and Biomedical Signal Processing and Control.

In The Last Decade

Sathish Sankaran

65 papers receiving 521 citations

Peers

Sathish Sankaran
Fahim Forouzanfar United States
Baris Güyagüler United States
Jiang Xie United States
G. K. Brouwer Netherlands
R.M. Fonseca Netherlands
G. M. van Essen Netherlands
Mohammed S. Al-Jawad Iraq
Yingcao Zhou China
A. Castellini Netherlands
Stan Cullick United Kingdom
Fahim Forouzanfar United States
Sathish Sankaran
Citations per year, relative to Sathish Sankaran Sathish Sankaran (= 1×) peers Fahim Forouzanfar

Countries citing papers authored by Sathish Sankaran

Since Specialization
Citations

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

Fields of papers citing papers by Sathish Sankaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sathish Sankaran

This figure shows the co-authorship network connecting the top 25 collaborators of Sathish Sankaran. A scholar is included among the top collaborators of Sathish Sankaran 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 Sathish Sankaran. Sathish Sankaran 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.
Kuppusamy, P., et al.. (2025). Probabilistic luminance estimation and optimized gamma correction for Wireless capsule endoscopy. Biomedical Signal Processing and Control. 104. 107558–107558.
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Guo, Zhenyu, et al.. (2025). Optimizing Mature Gas Fields with Hybrid Models – Case Study and Value Analysis. International Petroleum Technology Conference.
4.
Sankaran, Sathish & Zhenyu Guo. (2024). Physics-Informed Machine Learning Approach for Closed-Loop Reservoir Management Using RGNet. 1 indexed citations
5.
Nagao, M., Akhil Datta‐Gupta, Tsubasa Onishi, & Sathish Sankaran. (2024). Physics Informed Machine Learning for Reservoir Connectivity Identification and Robust Production Forecasting. SPE Journal. 29(9). 4527–4541. 7 indexed citations
6.
Guo, Zhenyu & Sathish Sankaran. (2024). Hybrid RGNet: A physics-based model enhanced by machine learning for history matching, characterization and future prediction. Geoenergy Science and Engineering. 246. 213597–213597.
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Gildin, Eduardo, et al.. (2023). Guided Deep Learning Manifold Linearization of Porous Media Flow Equations. SPE Journal. 29(2). 885–908. 2 indexed citations
10.
Guo, Zhenyu, Sathish Sankaran, & Wenyue Sun. (2023). Reservoir Modeling, History Matching, and Characterization with a Reservoir Graph Network Model. SPE Reservoir Evaluation & Engineering. 26(3). 905–917. 4 indexed citations
11.
Nagao, Masahiro, Sathish Sankaran, & Zhenyu Guo. (2023). Distributed Agent Optimization for Large-Scale Network Models. SPE Western Regional Meeting. 2 indexed citations
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Guo, Zhenyu, Sathish Sankaran, & Ying Li. (2023). RGNet for Multi-well Forecasting in Unconventional Reservoirs. 1 indexed citations
15.
Sinha, Utkarsh, et al.. (2023). Hybrid Multiphase Rate Forecasting Model in Liquid Wells for Unconventional Reservoirs. SPE Western Regional Meeting. 1 indexed citations
16.
Guo, Zhenyu, Wenyue Sun, & Sathish Sankaran. (2022). Efficient Reservoir Management with a Reservoir Graph Network Model. SPE Western Regional Meeting. 6 indexed citations
17.
Sankaran, Sathish, et al.. (2014). Evaluation of Reservoir Connectivity and Hydrocarbon Resource Size in a Deep Water Gas Field Using Multi-Well Interference Tests. SPE Annual Technical Conference and Exhibition. 9 indexed citations
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Saputelli, Luigi, et al.. (2007). Integrating Production Operations and Economics Under UncertainConditions. 5 indexed citations
20.
Nikolaou, Michael, et al.. (2006). A Consistent Approach Toward Reservoir Simulation at Different Time Scales. 22 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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2026