Saket Anand

651 total citations
28 papers, 310 citations indexed

About

Saket Anand is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Saket Anand has authored 28 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 3 papers in Aerospace Engineering. Recurrent topics in Saket Anand's work include Face and Expression Recognition (5 papers), Video Surveillance and Tracking Methods (5 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Saket Anand is often cited by papers focused on Face and Expression Recognition (5 papers), Video Surveillance and Tracking Methods (5 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Saket Anand collaborates with scholars based in India, United States and South Korea. Saket Anand's co-authors include Peter Meer, Oncel Tuzel, Ankita Shukla, Ashish Kapoor, Milind Tambe, Lucas Joppa, Elizabeth Bondi, Shital Shah, Bistra Dilkina and Chetan Arora and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Journal of Selected Topics in Signal Processing and Children.

In The Last Decade

Saket Anand

28 papers receiving 304 citations

Peers

Saket Anand
Comparison fields: 5 of 88
  • Computer Vision and Pattern Recognition 171
  • Artificial Intelligence 103
  • Aerospace Engineering 56
  • Media Technology 30
  • Signal Processing 21
Replace Alexandre L. M. Levada with:
Alexandre L. M. Levada Brazil
Hongyang Zhang China
M.-P. Dubuisson-Jolly United States
Olivier Alata France
Oh‐Kyu Kwon South Korea
Xi’an Feng China
Minh-Tri Pham United Kingdom
В. В. Старовойтов Belarus
Roman Solovyev Russia
Shoudong Han China
Alexandre L. M. Levada Brazil View profile →
Citations per field, relative to Saket Anand
Saket Anand · 1×
Citations per year, relative to Saket Anand
Saket Anand · 1×

Countries citing papers authored by Saket Anand

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026