Damodar Reddy Edla
- Artificial Intelligence top 1%
- Electrical and Electronic Engineering top 10%
- Computer Networks and Communications top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Cognitive Neuroscience top 5%
- Co-authors
- Venkatanareshbabu KuppiliRamalingaswamy CherukuDharavath RameshAnnushree BablaniDiwakar TripathiShubham DodiaMainak BiswasJasjit S. Suri
- Topics
- EEG and Brain-Computer Interfaces (36 papers)Energy Efficient Wireless Sensor Networks (24 papers)Energy Harvesting in Wireless Networks (14 papers)
- Partner nations
- IndiaUnited StatesItaly
In The Last Decade
Damodar Reddy Edla
154 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 151
- Artificial Intelligence 959
- Electrical and Electronic Engineering 509
- Computer Networks and Communications 453
- Radiology, Nuclear Medicine and Imaging 418
- Cognitive Neuroscience 371
Countries citing papers authored by Damodar Reddy Edla
This map shows the geographic impact of Damodar Reddy Edla'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 Damodar Reddy Edla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Damodar Reddy Edla more than expected).
Fields of papers citing papers by Damodar Reddy Edla
This network shows the impact of papers produced by Damodar Reddy Edla. 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 Damodar Reddy Edla. The network helps show where Damodar Reddy Edla may publish in the future.
Co-authorship network of co-authors of Damodar Reddy Edla
This figure shows the co-authorship network connecting the top 25 collaborators of Damodar Reddy Edla. A scholar is included among the top collaborators of Damodar Reddy Edla 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 Damodar Reddy Edla. Damodar Reddy Edla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 7 | |
| 10 | 10 | |
| 11 | 3 | |
| 12 | 15 | |
| 13 | 53 | |
| 14 | 27 | |
| 15 | 236 | |
| 16 | An optimized and efficient radial basis neural network using cluster validity index for diabetes classification. | 3 |
| 17 | 44 | |
| 18 | 18 | |
| 19 | 34 | |
| 20 | 126 |
About Damodar Reddy Edla
Damodar Reddy Edla is a scholar working on Artificial Intelligence, Health Information Management and Cognitive Neuroscience, having authored 166 papers that have together received 2.8k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (36 papers), Energy Efficient Wireless Sensor Networks (24 papers) and Energy Harvesting in Wireless Networks (14 papers). The work is most often cited by research in Health Information Management (285 citations), Health Informatics (73 citations) and Artificial Intelligence (959 citations). Damodar Reddy Edla has collaborated with scholars based in India, United States and Italy. Frequent co-authors include Venkatanareshbabu Kuppili, Ramalingaswamy Cheruku, Dharavath Ramesh, Annushree Bablani, Diwakar Tripathi, Shubham Dodia, Mainak Biswas, Jasjit S. Suri, Harman S. Suri and Saidi Reddy Parne. Their work appears in journals such as Expert Systems with Applications, Sensors and ACM Computing Surveys.
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.