Yogesh Dandawate
- Plant Science top 10%
- Computer Vision and Pattern Recognition top 10%
- Analytical Chemistry top 5%
- Signal Processing top 10%
- Environmental Engineering
- Co-authors
- Shreenivas LondheMehul S. RavalKulbir SinghAditya AbhyankarShailesh KulkarniRajkumar S. DeshpandeGanesh C. PatilParikshit N. Mahalle
- Topics
- Image and Signal Denoising Methods (10 papers)Smart Agriculture and AI (8 papers)Image and Video Quality Assessment (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaMonthly Notices of the Royal Astronomical SocietyOcean Engineering
- Partner nations
- India
In The Last Decade
Yogesh Dandawate
47 papers receiving 409 citations
Peers
Comparison fields: 5 of 78
- Plant Science 198
- Computer Vision and Pattern Recognition 130
- Analytical Chemistry 91
- Signal Processing 82
- Environmental Engineering 42
Countries citing papers authored by Yogesh Dandawate
This map shows the geographic impact of Yogesh Dandawate'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 Yogesh Dandawate with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yogesh Dandawate more than expected).
Fields of papers citing papers by Yogesh Dandawate
This network shows the impact of papers produced by Yogesh Dandawate. 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 Yogesh Dandawate. The network helps show where Yogesh Dandawate may publish in the future.
Co-authorship network of co-authors of Yogesh Dandawate
This figure shows the co-authorship network connecting the top 25 collaborators of Yogesh Dandawate. A scholar is included among the top collaborators of Yogesh Dandawate 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 Yogesh Dandawate. Yogesh Dandawate is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 14 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 11 | |
| 9 | 12 | |
| 10 | 13 | |
| 11 | 2 | |
| 12 | 13 | |
| 13 | 1 | |
| 14 | 80 | |
| 15 | Image and Video Compression: Fundamentals, Techniques, and Applications | 8 |
| 16 | 6 | |
| 17 | 10 | |
| 18 | Rainfall Water Runoff Determination Using Land Cover Classification of Satellite Images For Rain Water Harvesting Application | 1 |
| 19 | 6 | |
| 20 | 8 |
About Yogesh Dandawate
Yogesh Dandawate is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 52 papers that have together received 462 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (10 papers), Smart Agriculture and AI (8 papers) and Image and Video Quality Assessment (8 papers). The work is most often cited by research in Analytical Chemistry (91 citations), Signal Processing (82 citations) and Computer Vision and Pattern Recognition (130 citations). Yogesh Dandawate has collaborated with scholars based in India. Frequent co-authors include Shreenivas Londhe, Mehul S. Raval, Kulbir Singh, Aditya Abhyankar, Shailesh Kulkarni, Rajkumar S. Deshpande, Ganesh C. Patil, Parikshit N. Mahalle, Sachin R. Sakhare and Pravin Futane. Their work appears in journals such as SHILAP Revista de lepidopterología, Monthly Notices of the Royal Astronomical Society and Ocean Engineering.
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.