Ramakrishna Vedantham
- Computer Vision and Pattern Recognition top 1%
- Aerospace Engineering top 2%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Media Technology top 5%
- Co-authors
- Radek GrzeszczukBernd GirodSam S. TsaiVijay ChandrasekharGabriel TakacsDavid M. ChenNgai‐Man CheungYuriy A. Reznik
- Topics
- Advanced Image and Video Retrieval Techniques (16 papers)Robotics and Sensor-Based Localization (9 papers)Image Retrieval and Classification Techniques (5 papers)
- Partner nations
- United StatesFinlandGermany
In The Last Decade
Ramakrishna Vedantham
17 papers receiving 949 citations
Peers
Comparison fields: 5 of 64
- Computer Vision and Pattern Recognition 856
- Aerospace Engineering 434
- Electrical and Electronic Engineering 87
- Artificial Intelligence 68
- Media Technology 65
Countries citing papers authored by Ramakrishna Vedantham
This map shows the geographic impact of Ramakrishna Vedantham'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 Ramakrishna Vedantham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramakrishna Vedantham more than expected).
Fields of papers citing papers by Ramakrishna Vedantham
This network shows the impact of papers produced by Ramakrishna Vedantham. 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 Ramakrishna Vedantham. The network helps show where Ramakrishna Vedantham may publish in the future.
Co-authorship network of co-authors of Ramakrishna Vedantham
This figure shows the co-authorship network connecting the top 25 collaborators of Ramakrishna Vedantham. A scholar is included among the top collaborators of Ramakrishna Vedantham 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 Ramakrishna Vedantham. Ramakrishna Vedantham is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 46 | |
| 2 | 28 | |
| 3 | 270 | |
| 4 | 94 | |
| 5 | 217 | |
| 6 | 4 | |
| 7 | 43 | |
| 8 | 21 | |
| 9 | 10 | |
| 10 | 35 | |
| 11 | 15 | |
| 12 | 54 | |
| 13 | 11 | |
| 14 | 14 | |
| 15 | 36 | |
| 16 | 79 | |
| 17 | 6 |
About Ramakrishna Vedantham
Ramakrishna Vedantham is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Geology, having authored 17 papers that have together received 983 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (16 papers), Robotics and Sensor-Based Localization (9 papers) and Image Retrieval and Classification Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (856 citations), Aerospace Engineering (434 citations) and Media Technology (65 citations). Ramakrishna Vedantham has collaborated with scholars based in United States, Finland and Germany. Frequent co-authors include Radek Grzeszczuk, Bernd Girod, Sam S. Tsai, Vijay Chandrasekhar, Gabriel Takacs, David M. Chen, Ngai‐Man Cheung, Yuriy A. Reznik, Jeff Bach and David Chen. Their work appears in journals such as IEEE Signal Processing Magazine, Signal Processing and IEEE Multimedia.
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.