Chakravarthy Bhagvati
- Computer Vision and Pattern Recognition top 5%
- Media Technology top 5%
- Artificial Intelligence
- Information Systems
- Signal Processing
- Co-authors
- Atul NegiAhmed M. HassanB. L. DeekshatuluArun AgarwalArun K. PujariT. K. RaviMunaga V. N. K. PrasadY. V. Subba Rao
- Topics
- Image Retrieval and Classification Techniques (16 papers)Handwritten Text Recognition Techniques (11 papers)Advanced Image and Video Retrieval Techniques (10 papers)
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Chakravarthy Bhagvati
47 papers receiving 390 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 318
- Media Technology 108
- Artificial Intelligence 90
- Information Systems 36
- Signal Processing 23
Countries citing papers authored by Chakravarthy Bhagvati
This map shows the geographic impact of Chakravarthy Bhagvati'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 Chakravarthy Bhagvati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chakravarthy Bhagvati more than expected).
Fields of papers citing papers by Chakravarthy Bhagvati
This network shows the impact of papers produced by Chakravarthy Bhagvati. 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 Chakravarthy Bhagvati. The network helps show where Chakravarthy Bhagvati may publish in the future.
Co-authorship network of co-authors of Chakravarthy Bhagvati
This figure shows the co-authorship network connecting the top 25 collaborators of Chakravarthy Bhagvati. A scholar is included among the top collaborators of Chakravarthy Bhagvati 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 Chakravarthy Bhagvati. Chakravarthy Bhagvati is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 23 | |
| 3 | 10 | |
| 4 | 4 | |
| 5 | 48 | |
| 6 | 25 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 14 | |
| 12 | 0 | |
| 13 | 5 | |
| 14 | A tighter error bound for decision tree learning using PAC learnability | 3 |
| 15 | 7 | |
| 16 | Bitplane Based Area Morphology for CBIR. | 1 |
| 17 | 70 | |
| 18 | Achieving Reliable Designs for Pipelines Traversing Unstable Slopes | 1 |
| 19 | Gaussian normalisation of morphological size distributions for increasing sensitivity to texture variations and its applications to pavement distress classification. | 4 |
| 20 | Feasibility of automating pavement distress assessment using mathematical morphology | 3 |
About Chakravarthy Bhagvati
Chakravarthy Bhagvati is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 55 papers that have together received 436 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (16 papers), Handwritten Text Recognition Techniques (11 papers) and Advanced Image and Video Retrieval Techniques (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (318 citations), Media Technology (108 citations) and Space and Planetary Science (4 citations). Chakravarthy Bhagvati has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Atul Negi, Ahmed M. Hassan, B. L. Deekshatulu, Arun Agarwal, Arun K. Pujari, T. K. Ravi, Munaga V. N. K. Prasad, Y. V. Subba Rao, Bhabatosh Chanda and Sandip Paul. Their work appears in journals such as IEEE Access, Pattern Recognition Letters and Mathematical and Computer Modelling.
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.