Anil Cheriyadat
- Computer Vision and Pattern Recognition top 2%
- Media Technology top 0.5%
- Atmospheric Science top 10%
- Artificial Intelligence top 10%
- Ocean Engineering top 5%
- Co-authors
- Jiangye YuanRichard J. RadkeL.M. BruceRanga Raju VatsavaiEddie BrightBudhendra BhaduriShaun S. GleasonDeLiang Wang
- Topics
- Remote-Sensing Image Classification (22 papers)Advanced Image and Video Retrieval Techniques (14 papers)Video Surveillance and Tracking Methods (9 papers)
- Journals
- IEEE Transactions on Geoscience and Remote SensingIEEE Transactions on Image ProcessingBMC Public Health
- Partner nations
- United States
In The Last Decade
Anil Cheriyadat
49 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Computer Vision and Pattern Recognition 642
- Media Technology 637
- Atmospheric Science 245
- Artificial Intelligence 177
- Ocean Engineering 148
Countries citing papers authored by Anil Cheriyadat
This map shows the geographic impact of Anil Cheriyadat'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 Anil Cheriyadat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anil Cheriyadat more than expected).
Fields of papers citing papers by Anil Cheriyadat
This network shows the impact of papers produced by Anil Cheriyadat. 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 Anil Cheriyadat. The network helps show where Anil Cheriyadat may publish in the future.
Co-authorship network of co-authors of Anil Cheriyadat
This figure shows the co-authorship network connecting the top 25 collaborators of Anil Cheriyadat. A scholar is included among the top collaborators of Anil Cheriyadat 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 Anil Cheriyadat. Anil Cheriyadat 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 | 18 | |
| 3 | 5 | |
| 4 | 16 | |
| 5 | 21 | |
| 6 | Advances In very high resolution satellite imagery analysis for Monitoring human settlements | 2 |
| 7 | 19 | |
| 8 | Unsupervised Feature Learning for Aerial Scene Classificationbreakdown → | 356 |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 33 | |
| 12 | 2 | |
| 13 | Detecting Multiple Moving Objects in Crowded Environments with Coherent Motion Regions | 1 |
| 14 | 3 | |
| 15 | 28 | |
| 16 | 66 | |
| 17 | 36 | |
| 18 | 31 | |
| 19 | 4 | |
| 20 | 93 |
About Anil Cheriyadat
Anil Cheriyadat is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Environmental Engineering, having authored 49 papers that have together received 1.2k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (22 papers), Advanced Image and Video Retrieval Techniques (14 papers) and Video Surveillance and Tracking Methods (9 papers). The work is most often cited by research in Media Technology (637 citations), Computer Vision and Pattern Recognition (642 citations) and Atmospheric Science (245 citations). Anil Cheriyadat has collaborated with scholars based in United States. Frequent co-authors include Jiangye Yuan, Richard J. Radke, L.M. Bruce, Ranga Raju Vatsavai, Eddie Bright, Budhendra Bhaduri, Shaun S. Gleason, DeLiang Wang, Varun Chandola and Jordan Long. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and BMC Public Health.
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.