Satheesh Kumar D
Impact in
- Developmental Biology top 5%
- Congenital limb and hand anomalies
- Transportation top 10%
Papers in
-
- Time Series Analysis and Forecasting 3
- Data Management and Algorithms 3
-
- Advanced Clustering Algorithms Research 4
- Data Stream Mining Techniques 3
- Co-authors
- Satish V. Ukkusuri (4 shared papers)Marimuthu Palaniswami (5 shared papers)Sutharshan Rajasegarar (4 shared papers)James C. Bezdek (4 shared papers)Lihadh Al‐Gazali (2 shared papers)Petra Seemann (1 shared paper)Kelly Springell (1 shared paper)James J. Cox (1 shared paper)
- Journals
- Indian Journal of Science and Technology (2 papers)Wireless Personal Communications (2 papers)ACM Transactions on Spatial Algorithms and Systems (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)The American Journal of Human Genetics (1 paper)
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Satheesh Kumar D
27 papers receiving 405 citations
Peers
Comparison fields: 5 of 100
- Developmental Biology 44
- Transportation 33
- Genetics 106
- Signal Processing 42
- Artificial Intelligence 103
Countries citing papers authored by Satheesh Kumar D
This map shows the geographic impact of Satheesh Kumar D'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 Satheesh Kumar D with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satheesh Kumar D more than expected).
Fields of papers citing papers by Satheesh Kumar D
This network shows the impact of papers produced by Satheesh Kumar D. 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 Satheesh Kumar D. The network helps show where Satheesh Kumar D may publish in the future.
Co-authors
The 25 scholars most cited alongside Satheesh Kumar D, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 133 | |
| 2 | 2018 | 55 | |
| 3 | 2002 | 46 | |
| 4 | 2016 | 29 | |
| 5 | 2012 | 19 | |
| 6 | 2018 | 18 | |
| 7 | 2022 | 17 | |
| 8 | 1986 | 15 | |
| 9 | 2020 | 14 | |
| 10 | 2017 | 12 | |
| 11 | 2020 | 12 | |
| 12 | 2017 | 9 | |
| 13 | 2018 | 8 | |
| 14 | 2017 | 7 | |
| 15 | 2022 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2018 | 3 | |
| 19 | 2015 | 2 | |
| 20 | 2020 | 2 |
About Satheesh Kumar D
Satheesh Kumar D is a scholar working on Signal Processing, Artificial Intelligence, Computer Networks and Communications, Transportation and Media Technology, having authored 32 papers that have together received 422 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (4 papers), Data Stream Mining Techniques (3 papers), Evacuation and Crowd Dynamics (3 papers), Human Mobility and Location-Based Analysis (3 papers), Time Series Analysis and Forecasting (3 papers), Data Management and Algorithms (3 papers), Energy Efficient Wireless Sensor Networks (3 papers) and Disaster Management and Resilience (3 papers). The work is most often cited by research in Developmental Biology (44 citations), Transportation (33 citations), Genetics (106 citations), Signal Processing (42 citations) and Artificial Intelligence (103 citations). Satheesh Kumar D has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Satish V. Ukkusuri, Marimuthu Palaniswami, Sutharshan Rajasegarar, James C. Bezdek, Lihadh Al‐Gazali, Petra Seemann, Kelly Springell, James J. Cox, Gulshan Karbani and Saghira Malik Sharif. Their work appears in journals such as Indian Journal of Science and Technology, Wireless Personal Communications, ACM Transactions on Spatial Algorithms and Systems, IEEE Transactions on Knowledge and Data Engineering and The American Journal of Human Genetics.
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.