Saikat Mookherjee

431 total citations
25 papers, 320 citations indexed

About

Saikat Mookherjee is a scholar working on Mechanical Engineering, Control and Systems Engineering and Ocean Engineering. According to data from OpenAlex, Saikat Mookherjee has authored 25 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Mechanical Engineering, 21 papers in Control and Systems Engineering and 4 papers in Ocean Engineering. Recurrent topics in Saikat Mookherjee's work include Hydraulic and Pneumatic Systems (23 papers), Advanced Sensor and Control Systems (12 papers) and Control Systems in Engineering (7 papers). Saikat Mookherjee is often cited by papers focused on Hydraulic and Pneumatic Systems (23 papers), Advanced Sensor and Control Systems (12 papers) and Control Systems in Engineering (7 papers). Saikat Mookherjee collaborates with scholars based in India and Denmark. Saikat Mookherjee's co-authors include Rana Saha, Dipankar Sanyal, Bikash Kumar Sarkar, Debarshi Kumar Sanyal, J. C. Das, Amitava Chatterjee, Sanjib Kumar Acharyya, Swarnendu Sen, Koushik Ghosh and Achintya Mukhopadhyay and has published in prestigious journals such as Applied Soft Computing, Journal of Heat Transfer and IEEE Sensors Journal.

In The Last Decade

Saikat Mookherjee

23 papers receiving 315 citations

Peers

Saikat Mookherjee
Rana Saha India
Jyh-Chyang Renn Taiwan
Jawad Aslam Pakistan
Toshinori FUJITA Japan
Litong Lyu China
Hoang Vu Dao South Korea
Weidi Huang China
Mina M. Rahimian United States
Masoud Asadi Iran
Rana Saha India
Saikat Mookherjee
Citations per year, relative to Saikat Mookherjee Saikat Mookherjee (= 1×) peers Rana Saha

Countries citing papers authored by Saikat Mookherjee

Since Specialization
Citations

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

Fields of papers citing papers by Saikat Mookherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saikat Mookherjee

This figure shows the co-authorship network connecting the top 25 collaborators of Saikat Mookherjee. A scholar is included among the top collaborators of Saikat Mookherjee 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 Saikat Mookherjee. Saikat Mookherjee 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.
2.
Saha, Rana, et al.. (2023). Validation and real-time application of a novel order-separated feedforward controller with PI feedback for electrohydraulic actuation of linear motion. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 45(7).
3.
Maji, Krishnendu, et al.. (2023). Actuation of an electrohydraulic manipulator with a novel feedforward compensation scheme and PID feedback in servo-proportional valves. Control Engineering Practice. 135. 105490–105490. 10 indexed citations
4.
Saha, Rana, et al.. (2020). Development of a Motion Sensing System Based on Visual Servoing of an Eye-in-Hand Electrohydraulic Parallel Manipulator. IEEE Sensors Journal. 20(14). 8108–8116. 12 indexed citations
5.
Saha, Rana, et al.. (2020). Adaptive neural-bias-sliding mode control of rugged electrohydraulic system motion by recurrent Hermite neural network. Control Engineering Practice. 103. 104588–104588. 19 indexed citations
6.
Saha, Rana, et al.. (2018). Designing an Input-Linearized Adaptive Sliding Mode Coupled Nonlinear Integral Controller. IEEE/ASME Transactions on Mechatronics. 23(6). 2888–2895. 8 indexed citations
7.
Das, J. C., Santosh Kr. Mishra, Rana Saha, Saikat Mookherjee, & Debarshi Kumar Sanyal. (2018). Nonlinear modeling of an electrohydraulic actuation system via experiments and its characterization by means of neural network. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 40(2). 2 indexed citations
8.
Das, J. C., Santosh Kumar Mishra, Rana Saha, Saikat Mookherjee, & Dipankar Sanyal. (2016). Actuation dynamic modeling and characterization of an electrohydraulic system. Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering. 230(6). 537–550. 8 indexed citations
9.
Sarkar, Bikash Kumar, et al.. (2016). Designing an optimized model-free controller for improved motion tracking by rugged electrohydraulic system. Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering. 230(5). 385–396. 8 indexed citations
10.
Saha, Rana, et al.. (2016). Lessons learned from using some bio-inspired optimizers for real-time controller design for a low-cost electrohydraulic system. Applied Soft Computing. 48. 638–649. 2 indexed citations
11.
12.
Das, J. C., Santosh Kr. Mishra, Rana Saha, Saikat Mookherjee, & Debarshi Kumar Sanyal. (2016). Nonlinear modeling and PID control through experimental characterization for an electrohydraulic actuation system: system characterization with validation. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 39(4). 1177–1187. 11 indexed citations
13.
Sen, Swarnendu, et al.. (2015). Experimental and Numerical Investigation of a Single-Phase Square Natural Circulation Loop. Journal of Heat Transfer. 137(12). 31 indexed citations
14.
Sarkar, Bikash Kumar, et al.. (2015). Real-time fuzzy-feedforward controller design by bacterial foraging optimization for an electrohydraulic system. Engineering Applications of Artificial Intelligence. 45. 168–179. 13 indexed citations
15.
Das, J. C., et al.. (2014). Characterization and tracking control of a nonlinear electrohydraulic valve-cylinder system. Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering. 230(5). 371–384. 10 indexed citations
16.
Sarkar, Bikash Kumar, et al.. (2013). GA-optimized feedforward-PID tracking control for a rugged electrohydraulic system design. ISA Transactions. 52(6). 853–861. 39 indexed citations
17.
Sarkar, Bikash Kumar, J. C. Das, Rana Saha, Saikat Mookherjee, & Debarshi Kumar Sanyal. (2013). Approaching Servoclass Tracking Performance by a Proportional Valve-Controlled System. IEEE/ASME Transactions on Mechatronics. 18(4). 1425–1430. 42 indexed citations
18.
Mookherjee, Saikat, et al.. (2013). Pressure Compensator Design for a Swash Plate Axial Piston Pump. Journal of Dynamic Systems Measurement and Control. 136(2). 21 indexed citations
19.
Das, J. C., Kalyan Das, Rana Saha, Saikat Mookherjee, & Debarshi Kumar Sanyal. (2008). Modeling and simulation of an electro-hydraulic actuation system through subsystem characterization. 514–518. 3 indexed citations
20.
Mookherjee, Saikat, et al.. (2001). Static-Performance Based Computer-Aided Design of a DDV and its Sensitivity Analysis. International Journal of Fluid Power. 2(2). 47–63. 7 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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