J. Karthikeyan
- Artificial Intelligence top 10%
- Privacy-Preserving Technologies in Data 6
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- Geotechnical Engineering and Analysis 4
- Information Systems top 10%
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- Geotechnical Engineering and Underground Structures 5
- Geotechnical Engineering and Soil Mechanics 5
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- Privacy, Security, and Data Protection 4
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- IoT and Edge/Fog Computing 3
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- Air Quality Monitoring and Forecasting 2
- Hydrological Forecasting Using AI 2
- Co-authors
- J. AndrewPijush SamuiYuichi SeiChandrasegar ThirumalaiKiran YarrakulaJennifer EuniceMarc PomplunHariharan Rajadurai
- Partner nations
- IndiaUnited StatesVietnam
In The Last Decade
J. Karthikeyan
28 papers receiving 344 citations
Peers
Comparison fields: 5 of 77
- Artificial Intelligence 132
- Health Informatics 5
- Safety, Risk, Reliability and Quality 32
- Information Systems 68
- Civil and Structural Engineering 56
Countries citing papers authored by J. Karthikeyan
This map shows the geographic impact of J. Karthikeyan'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. Karthikeyan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Karthikeyan more than expected).
Fields of papers citing papers by J. Karthikeyan
This network shows the impact of papers produced by J. Karthikeyan. 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. Karthikeyan. The network helps show where J. Karthikeyan may publish in the future.
Co-authorship network
The 22 scholars most cited alongside J. Karthikeyan, 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 | 2024 | 3 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 11 | |
| 5 | 2022 | 1 | |
| 6 | 2021 | 3 | |
| 7 | 2021 | 59 | |
| 8 | 2021 | 36 | |
| 9 | Flood inundation mapping of lower Godavari riverbasin using remote sensing and gis | 2020 | 1 |
| 10 | 2020 | 12 | |
| 11 | 2020 | 3 | |
| 12 | 2020 | 8 | |
| 13 | 2019 | 9 | |
| 14 | 2018 | 23 | |
| 15 | 2017 | 42 | |
| 16 | Development of wind rose diagrams for Kadapa region of Rayalaseema | 2016 | 1 |
| 17 | An Improved Cross-Domain Sentiment Classification using L1/2 Penalty Logistic Regression | 2014 | 1 |
| 18 | 2014 | 8 | |
| 19 | 2013 | 6 | |
| 20 | 2012 | 27 |
About J. Karthikeyan
J. Karthikeyan is a scholar working on Safety, Risk, Reliability and Quality, Human-Computer Interaction and Civil and Structural Engineering, having authored 32 papers that have together received 354 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (6 papers), Geotechnical Engineering and Underground Structures (5 papers), Geotechnical Engineering and Soil Mechanics (5 papers), Privacy, Security, and Data Protection (4 papers), Geotechnical Engineering and Analysis (4 papers), IoT and Edge/Fog Computing (3 papers), Air Quality Monitoring and Forecasting (2 papers) and Hydrological Forecasting Using AI (2 papers). The work is most often cited by research in Artificial Intelligence (132 citations), Health Informatics (5 citations) and Safety, Risk, Reliability and Quality (32 citations). J. Karthikeyan has collaborated with scholars based in India, United States and Vietnam. Frequent co-authors include J. Andrew, Pijush Samui, Yuichi Sei, Chandrasegar Thirumalai, Kiran Yarrakula, Jennifer Eunice, Marc Pomplun, Hariharan Rajadurai, G. Kavitha and N. Suthanthira Vanitha.
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.