Ravi Sekhar

1.7k total citations
103 papers, 1.0k citations indexed

About

Ravi Sekhar is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Mechanical Engineering. According to data from OpenAlex, Ravi Sekhar has authored 103 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Control and Systems Engineering, 23 papers in Electrical and Electronic Engineering and 17 papers in Mechanical Engineering. Recurrent topics in Ravi Sekhar's work include Digital Transformation in Industry (9 papers), Advanced machining processes and optimization (9 papers) and Advanced Control Systems Design (7 papers). Ravi Sekhar is often cited by papers focused on Digital Transformation in Industry (9 papers), Advanced machining processes and optimization (9 papers) and Advanced Control Systems Design (7 papers). Ravi Sekhar collaborates with scholars based in India, Iraq and United Kingdom. Ravi Sekhar's co-authors include Pritesh Shah, T.P. Singh, S. Budhe, Roydon Fraser, Satyam Panchal, Michael Fowler, Sílvio de Barros, M. D. Banea, Deepak Sharma and Iswanto Iswanto and has published in prestigious journals such as SHILAP Revista de lepidopterología, PEDIATRICS and British Journal Of Nutrition.

In The Last Decade

Ravi Sekhar

85 papers receiving 990 citations

Peers

Ravi Sekhar
Rui He China
Huitian Lu United States
Zili Wang China
Sunghoon Lim South Korea
Xin Jiang China
Rui He China
Ravi Sekhar
Citations per year, relative to Ravi Sekhar Ravi Sekhar (= 1×) peers Rui He

Countries citing papers authored by Ravi Sekhar

Since Specialization
Citations

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

Fields of papers citing papers by Ravi Sekhar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ravi Sekhar

This figure shows the co-authorship network connecting the top 25 collaborators of Ravi Sekhar. A scholar is included among the top collaborators of Ravi Sekhar 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 Ravi Sekhar. Ravi Sekhar 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.
Sekhar, Ravi, et al.. (2025). Experimental Investigation and Prediction of Combustion Parameters using Machine Learning in Ethanol - Gasoline Blended Engines. Journal of Engineering and Technological Sciences. 57(1). 27–47.
2.
Sekhar, Ravi, et al.. (2025). Cycle-to-Cycle Combustion Stability Evaluation of HCNG Blends in Multi-Cylinder Engines via Coefficient of Variation Analysis. Journal Européen des Systèmes Automatisés. 58(4).
3.
Sekhar, Ravi, Sharnil Pandya, Pritesh Shah, et al.. (2024). Noise robust classification of carbide tool wear in machining mild steel using texture extraction based transfer learning approach for predictive maintenance. Results in Control and Optimization. 17. 100491–100491. 1 indexed citations
5.
Ahmed, Saadaldeen Rashid, et al.. (2024). Real-Time Image Denoising Using Deep Learning for Cybersecurity Applications. 328–334.
6.
Sekhar, Ravi, et al.. (2024). Sustainable optimizing WMN performance through meta-heuristic TDMA link scheduling and routing. SHILAP Revista de lepidopterología. 6(1). 111–126. 3 indexed citations
7.
Ahmed, Saadaldeen Rashid, et al.. (2024). Adaptive Intrusion Detection System Using Deep Learning for Network Security. 279–284. 1 indexed citations
8.
Niu, Yitong, et al.. (2024). Experimental Research in Frequency and Time Domain for Electromechanical System with Distributed Parameters in Mechanical Part. Mathematical Modelling and Engineering Problems. 11(4). 1107–1114.
9.
Sekhar, Ravi, et al.. (2024). Neutrosophic Sets in Big Data Analytics: A Novel Approach for Feature Selection and Classification. 25(1). 428–438. 1 indexed citations
10.
Shah, Pritesh, et al.. (2023). Fractional order control: A bibliometric analysis (2000–2022). Results in Control and Optimization. 14. 100366–100366. 6 indexed citations
11.
Jagatheesan, K., et al.. (2023). Fractional order P I λ D μ controller for microgrid power system using cohort intelligence optimization. Results in Control and Optimization. 11. 100218–100218. 20 indexed citations
12.
Sekhar, Ravi, et al.. (2023). Lean Manufacturing Soft Sensors for Automotive Industries. Applied System Innovation. 6(1). 22–22. 17 indexed citations
13.
Sharkawy, Abdel‐Nasser, et al.. (2023). A Comprehensive Pattern Recognition Neural Network for Collision Classification Using Force Sensor Signals. Robotics. 12(5). 124–124. 2 indexed citations
14.
Jagatheesan, K., et al.. (2023). Optimization of Load Frequency Control Gain Parameters for Stochastic Microgrid Power System. Journal of Robotics and Control (JRC). 4(5). 726–742.
15.
Shah, Pritesh, et al.. (2023). Sustainable electronic document security: a comprehensive framework integrating encryption, digital signature and watermarking algorithms. SHILAP Revista de lepidopterología. 5(2). 391–404. 5 indexed citations
16.
Shah, Pritesh, et al.. (2021). Machine Learning-Based Predictive Modeling and Control of Lean Manufacturing in Automotive Parts Manufacturing Industry. Global Journal of Flexible Systems Management. 23(1). 89–112. 30 indexed citations
17.
Sekhar, Ravi & Pritesh Shah. (2020). Predictive Modeling of a Flexible Robotic Arm using Cohort Intelligence Socio-Inspired Optimization. 193–198. 7 indexed citations
18.
Sekhar, Ravi, et al.. (2015). Effect of injection timing on the performance and emissions of biodiesel fuelled diesel engine.. Journal of chemical and pharmaceutical research. 7(2). 365–369. 3 indexed citations
20.
Misra, Ranjita, et al.. (2007). Prevalence of Metabolic Syndrome and Associated Risk Factors in Asian Indians. Journal of Immigrant and Minority Health. 10(4). 313–323. 34 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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