Deeraj Nagothu
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Computer Networks and Communications
- Artificial Intelligence
- Electrical and Electronic Engineering
- Co-authors
- Yu ChenErik BlaschRonghua XuAlexander AvedSeyed Yahya NikoueiAlem FitwiSencun ZhuXiaohua Li
- Topics
- Digital Media Forensic Detection (13 papers)Advanced Steganography and Watermarking Techniques (10 papers)IoT and Edge/Fog Computing (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Communications MagazineSensors
- Partner nations
- United States
In The Last Decade
Deeraj Nagothu
23 papers receiving 222 citations
Peers
Comparison fields: 5 of 38
- Computer Vision and Pattern Recognition 133
- Information Systems 66
- Computer Networks and Communications 55
- Artificial Intelligence 50
- Electrical and Electronic Engineering 29
Countries citing papers authored by Deeraj Nagothu
This map shows the geographic impact of Deeraj Nagothu'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 Deeraj Nagothu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deeraj Nagothu more than expected).
Fields of papers citing papers by Deeraj Nagothu
This network shows the impact of papers produced by Deeraj Nagothu. 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 Deeraj Nagothu. The network helps show where Deeraj Nagothu may publish in the future.
Co-authorship network of co-authors of Deeraj Nagothu
This figure shows the co-authorship network connecting the top 25 collaborators of Deeraj Nagothu. A scholar is included among the top collaborators of Deeraj Nagothu 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 Deeraj Nagothu. Deeraj Nagothu 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 | 1 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 5 | |
| 8 | 0 | |
| 9 | 7 | |
| 10 | 15 | |
| 11 | 0 | |
| 12 | 11 | |
| 13 | 3 | |
| 14 | 3 | |
| 15 | 35 | |
| 16 | BlendSPS: A BLockchain-ENabled Decentralized Smart Public Safety System | 4 |
| 17 | 24 | |
| 18 | 12 | |
| 19 | 52 | |
| 20 | 15 |
About Deeraj Nagothu
Deeraj Nagothu is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Computer Science Applications, having authored 26 papers that have together received 228 indexed citations. Recurring topics across this work include Digital Media Forensic Detection (13 papers), Advanced Steganography and Watermarking Techniques (10 papers) and IoT and Edge/Fog Computing (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (133 citations), Hardware and Architecture (20 citations) and Information Systems (66 citations). Deeraj Nagothu has collaborated with scholars based in United States. Frequent co-authors include Yu Chen, Erik Blasch, Ronghua Xu, Alexander Aved, Seyed Yahya Nikouei, Alem Fitwi, Yu Chen, Sencun Zhu, Yu Chen and Xiaohua Li. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Communications Magazine and Sensors.
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.