T. Hitendra Sarma
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Media Technology top 5%
- Atmospheric Science
- Information Systems
- Co-authors
- P. ViswanathB. Eswara ReddyC. Shoba BinduShaik Rafi AhamedM. Naresh KumarRajkumar BuyyaK. Ram Mohan RaoAmit Kumar
- Topics
- Remote-Sensing Image Classification (9 papers)Face and Expression Recognition (7 papers)Remote Sensing and Land Use (6 papers)
- Journals
- Pattern Recognition LettersIEEE Geoscience and Remote Sensing LettersInternational Journal of Machine Learning and Cybernetics
- Partner nations
- IndiaAustraliaUnited Kingdom
In The Last Decade
T. Hitendra Sarma
21 papers receiving 223 citations
Peers
Comparison fields: 5 of 72
- Artificial Intelligence 96
- Computer Vision and Pattern Recognition 70
- Media Technology 63
- Atmospheric Science 37
- Information Systems 27
Countries citing papers authored by T. Hitendra Sarma
This map shows the geographic impact of T. Hitendra Sarma'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 T. Hitendra Sarma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Hitendra Sarma more than expected).
Fields of papers citing papers by T. Hitendra Sarma
This network shows the impact of papers produced by T. Hitendra Sarma. 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 T. Hitendra Sarma. The network helps show where T. Hitendra Sarma may publish in the future.
Co-authorship network of co-authors of T. Hitendra Sarma
This figure shows the co-authorship network connecting the top 25 collaborators of T. Hitendra Sarma. A scholar is included among the top collaborators of T. Hitendra Sarma 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 T. Hitendra Sarma. T. Hitendra Sarma 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 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 10 | |
| 11 | 7 | |
| 12 | 2 | |
| 13 | 53 | |
| 14 | 26 | |
| 15 | 11 | |
| 16 | 9 | |
| 17 | 1 | |
| 18 | 13 | |
| 19 | 8 | |
| 20 | 35 |
About T. Hitendra Sarma
T. Hitendra Sarma is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Atmospheric Science, having authored 24 papers that have together received 237 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (9 papers), Face and Expression Recognition (7 papers) and Remote Sensing and Land Use (6 papers). The work is most often cited by research in Media Technology (63 citations), Computer Vision and Pattern Recognition (70 citations) and Artificial Intelligence (96 citations). T. Hitendra Sarma has collaborated with scholars based in India, Australia and United Kingdom. Frequent co-authors include P. Viswanath, B. Eswara Reddy, C. Shoba Bindu, Shaik Rafi Ahamed, M. Naresh Kumar, Rajkumar Buyya, K. Ram Mohan Rao, Amit Kumar, Rama Rao Nidamanuri and Alejandro C. Frery. Their work appears in journals such as Pattern Recognition Letters, IEEE Geoscience and Remote Sensing Letters and International Journal of Machine Learning and Cybernetics.
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.