Gajula Ramesh
Impact in
-
- Chaos-based Image/Signal Encryption
- Advanced Steganography and Watermarking Techniques
-
- Music and Audio Processing
- Advanced Malware Detection Techniques
Papers in
-
- Advanced Neural Network Applications 3
-
- Topic Modeling 3
- Co-authors
- Kranthi Kumar Singamaneni (2 shared papers)Anil Kumar Budati (3 shared papers)S. Kumaravel (1 shared paper)Gandikota Ramu (1 shared paper)Jose Anand (1 shared paper)N. Srinivasa (1 shared paper)Neeraj Varshney (1 shared paper)I.B. Sapaev (1 shared paper)
- Journals
- Indian Journal of Pharmaceutical Education and Research (1 paper)Multimedia Tools and Applications (1 paper)Tsinghua Science & Technology (1 paper)Applied Nanoscience (2 papers)SHILAP Revista de lepidopterología (11 papers)
In The Last Decade
Gajula Ramesh
26 papers receiving 115 citations
Peers
Comparison fields: 5 of 61
- Computer Vision and Pattern Recognition 35
- Signal Processing 14
- Artificial Intelligence 41
- Media Technology 8
- Health Information Management 4
Countries citing papers authored by Gajula Ramesh
This map shows the geographic impact of Gajula Ramesh'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 Gajula Ramesh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gajula Ramesh more than expected).
Fields of papers citing papers by Gajula Ramesh
This network shows the impact of papers produced by Gajula Ramesh. 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 Gajula Ramesh. The network helps show where Gajula Ramesh may publish in the future.
Co-authors
The 18 scholars most cited alongside Gajula Ramesh, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 36 | |
| 2 | 2019 | 25 | |
| 3 | 2023 | 15 | |
| 4 | 2023 | 6 | |
| 5 | 2019 | 6 | |
| 6 | 2017 | 5 | |
| 7 | Summarizing Product Reviews Using NLP Based Text Summarization | 2019 | 5 |
| 8 | 2022 | 5 | |
| 9 | 2021 | 4 | |
| 10 | 2024 | 3 | |
| 11 | 2023 | 3 | |
| 12 | 2021 | 3 | |
| 13 | 2023 | 2 | |
| 14 | 2010 | 2 | |
| 15 | 2005 | 2 | |
| 16 | 2021 | 2 | |
| 17 | 2010 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2003 | 2 | |
| 20 | 2020 | 2 |
About Gajula Ramesh
Gajula Ramesh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 39 papers that have together received 141 indexed citations. Recurring topics across this work include Smart Agriculture and AI (5 papers), Advanced Neural Network Applications (3 papers), IoT and Edge/Fog Computing (3 papers), Remote Sensing in Agriculture (3 papers), Advanced Photonic Communication Systems (3 papers), Blockchain Technology Applications and Security (3 papers), Topic Modeling (3 papers) and Advanced Optical Network Technologies (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (35 citations), Signal Processing (14 citations), Artificial Intelligence (41 citations), Media Technology (8 citations) and Health Information Management (4 citations). Gajula Ramesh has collaborated with scholars based in India, Iraq and Malaysia. Frequent co-authors include Kranthi Kumar Singamaneni, Anil Kumar Budati, S. Kumaravel, Gandikota Ramu, Jose Anand, N. Srinivasa, Neeraj Varshney, I.B. Sapaev, Ramy Hussein and T. Saravanan. Their work appears in journals such as Indian Journal of Pharmaceutical Education and Research, Multimedia Tools and Applications, Tsinghua Science & Technology, Applied Nanoscience and SHILAP Revista de lepidopterología.
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.