J. Jayakumar
Impact in
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- Thermodynamic properties of mixtures
Papers in
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- Smart Grid Energy Management 6
- Power System Optimization and Stability 5
- Electric Vehicles and Infrastructure 4
- Energy Load and Power Forecasting 4
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- Microgrid Control and Optimization 7
- Co-authors
- S. Suresh Kumar (4 shared papers)P. Karthigaikumar (3 shared papers)Lazarus Godson Asirvatham (3 shared papers)S. Thirumaran (3 shared papers)Somchai Wongwises (2 shared papers)K. Victor Sam Moses Babu (1 shared paper)S. Thomas George (1 shared paper)Jeffrey S. Johnson (1 shared paper)
In The Last Decade
J. Jayakumar
44 papers receiving 339 citations
Peers
Comparison fields: 5 of 72
- Filtration and Separation 9
- Fluid Flow and Transfer Processes 24
- Energy Engineering and Power Technology 11
- Computer Vision and Pattern Recognition 63
- Artificial Intelligence 97
Countries citing papers authored by J. Jayakumar
This map shows the geographic impact of J. Jayakumar'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 J. Jayakumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Jayakumar more than expected).
Fields of papers citing papers by J. Jayakumar
This network shows the impact of papers produced by J. Jayakumar. 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 J. Jayakumar. The network helps show where J. Jayakumar may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Jayakumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 35 | |
| 2 | 2017 | 30 | |
| 3 | 2013 | 29 | |
| 4 | 2019 | 26 | |
| 5 | 2016 | 25 | |
| 6 | ULTRASONIC STUDY OF N-ALKANOLS IN TOLUENE WITH NITROBENZENE | 2009 | 20 |
| 7 | 2024 | 19 | |
| 8 | 2021 | 18 | |
| 9 | 2021 | 15 | |
| 10 | 2014 | 12 | |
| 11 | Design of Open Content Social Learning That Increases Learning Efficiency and Engagement Based on Open Pedagogy. | 2016 | 12 |
| 12 | 2016 | 11 | |
| 13 | 2017 | 11 | |
| 14 | 2017 | 8 | |
| 15 | 2022 | 6 | |
| 16 | 2013 | 6 | |
| 17 | 2021 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2014 | 5 |
About J. Jayakumar
J. Jayakumar is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition, Materials Chemistry and Automotive Engineering, having authored 50 papers that have together received 367 indexed citations. Recurring topics across this work include Microgrid Control and Optimization (7 papers), Advanced Battery Technologies Research (6 papers), Smart Grid Energy Management (6 papers), Power System Optimization and Stability (5 papers), Advanced Thermoelectric Materials and Devices (5 papers), Electric Vehicles and Infrastructure (4 papers), Energy Load and Power Forecasting (4 papers) and Online Learning and Analytics (4 papers). The work is most often cited by research in Filtration and Separation (9 citations), Fluid Flow and Transfer Processes (24 citations), Energy Engineering and Power Technology (11 citations), Computer Vision and Pattern Recognition (63 citations) and Artificial Intelligence (97 citations). J. Jayakumar has collaborated with scholars based in India, Thailand and Ethiopia. Frequent co-authors include S. Suresh Kumar, P. Karthigaikumar, Lazarus Godson Asirvatham, S. Thirumaran, Somchai Wongwises, K. Victor Sam Moses Babu, S. Thomas George, Jeffrey S. Johnson, Geno Peter and Albert Alexander Stonier. Their work appears in journals such as IET Renewable Power Generation, Computers & Electrical Engineering, Experimental Thermal and Fluid Science, Neurocomputing and Mechanics of Advanced Materials and Structures.
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.