Saket Anand
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Aerospace Engineering
- Media Technology top 10%
- Signal Processing
- Co-authors
- Peter MeerOncel TuzelAnkita ShuklaAshish KapoorMilind TambeLucas JoppaElizabeth BondiShital Shah
- Topics
- Face and Expression Recognition (5 papers)Video Surveillance and Tracking Methods (5 papers)Advanced Image and Video Retrieval Techniques (5 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Journal of Selected Topics in Signal ProcessingChildren
- Partner nations
- IndiaUnited StatesSouth Korea
In The Last Decade
Saket Anand
28 papers receiving 304 citations
Peers
Comparison fields: 5 of 88
- Computer Vision and Pattern Recognition 171
- Artificial Intelligence 103
- Aerospace Engineering 56
- Media Technology 30
- Signal Processing 21
Countries citing papers authored by Saket Anand
This map shows the geographic impact of Saket Anand'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 Saket Anand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saket Anand more than expected).
Fields of papers citing papers by Saket Anand
This network shows the impact of papers produced by Saket Anand. 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 Saket Anand. The network helps show where Saket Anand may publish in the future.
Co-authorship network of co-authors of Saket Anand
This figure shows the co-authorship network connecting the top 25 collaborators of Saket Anand. A scholar is included among the top collaborators of Saket Anand 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 Saket Anand. Saket Anand is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 8 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 11 | |
| 11 | PrOSe: Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning. | 7 |
| 12 | Deep mean shift clustering | 1 |
| 13 | 9 | |
| 14 | ClusterNet : Semi-Supervised Clustering using Neural Networks. | 2 |
| 15 | 7 | |
| 16 | 3 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 100 | |
| 20 | 49 |
About Saket Anand
Saket Anand is a scholar working on Computer Vision and Pattern Recognition, Ecological Modeling and Developmental Biology, having authored 28 papers that have together received 310 indexed citations. Recurring topics across this work include Face and Expression Recognition (5 papers), Video Surveillance and Tracking Methods (5 papers) and Advanced Image and Video Retrieval Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (171 citations), Media Technology (30 citations) and Artificial Intelligence (103 citations). Saket Anand has collaborated with scholars based in India, United States and South Korea. Frequent co-authors include Peter Meer, Oncel Tuzel, Ankita Shukla, Ashish Kapoor, Milind Tambe, Lucas Joppa, Elizabeth Bondi, Shital Shah, Bistra Dilkina and Chetan Arora. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Journal of Selected Topics in Signal Processing and Children.
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.