J. Jayakumar
Impact in
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- Thermodynamic properties of mixtures
Papers in
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- Online Learning and Analytics 4
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- Microgrid Control and Optimization 7
- Co-authors
- S. Suresh KumarS. ThirumaranP. KarthigaikumarLazarus Godson AsirvathamSomchai WongwisesD. Jude HemanthS. Thomas GeorgeBalakrishnan Ramasamy
In The Last Decade
J. Jayakumar
46 papers receiving 329 citations
Peers
Comparison fields: 5 of 74
- Filtration and Separation 9
- Fluid Flow and Transfer Processes 24
- Energy Engineering and Power Technology 10
- Computer Vision and Pattern Recognition 63
- Artificial Intelligence 94
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 15 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 5 | |
| 9 | 2021 | 5 | |
| 10 | 2021 | 2 | |
| 11 | 2019 | 3 | |
| 12 | 2017 | 10 | |
| 13 | COMPARATIVE ANALYSIS OF CURRENT METHODS IN SEARCHING OPEN EDUCATION CONTENT REPOSITORIES | 2016 | 2 |
| 14 | Design of Open Content Social Learning That Increases Learning Efficiency and Engagement Based on Open Pedagogy. | 2016 | 12 |
| 15 | 2016 | 24 | |
| 16 | 2015 | 1 | |
| 17 | 2014 | 12 | |
| 18 | 2014 | 5 | |
| 19 | ULTRASONIC STUDY OF N-ALKANOLS IN TOLUENE WITH NITROBENZENE | 2009 | 20 |
| 20 | Offline Methods for Calibration of the Motional Stark Effect Diagnostic | 2000 | 1 |
About J. Jayakumar
J. Jayakumar is a scholar working on Computer Science Applications, Control and Systems Engineering, Automotive Engineering, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 52 papers that have together received 360 indexed citations. Recurring topics across this work include Microgrid Control and Optimization (7 papers), Smart Grid Energy Management (6 papers), Advanced Battery Technologies Research (6 papers), Power System Optimization and Stability (5 papers), Advanced Thermoelectric Materials and Devices (5 papers), Online Learning and Analytics (4 papers), Electric Vehicles and Infrastructure (4 papers) and Energy Load and Power Forecasting (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 (10 citations), Computer Vision and Pattern Recognition (63 citations) and Artificial Intelligence (94 citations). J. Jayakumar has collaborated with scholars based in India, Ethiopia and Thailand. Frequent co-authors include S. Suresh Kumar, S. Thirumaran, P. Karthigaikumar, Lazarus Godson Asirvatham, Somchai Wongwises, D. Jude Hemanth, S. Thomas George, Balakrishnan Ramasamy, Jeffrey S. Johnson and K. Victor Sam Moses Babu. Their work appears in journals such as IET Renewable Power Generation, IEEE Access, Clinical EEG and Neuroscience, Mechanics of Advanced Materials and Structures and Sustainable Energy Technologies and Assessments.
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.