Sudeep Pillai

465 total citations
8 papers, 90 citations indexed

About

Sudeep Pillai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Sudeep Pillai has authored 8 papers receiving a total of 90 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 3 papers in Aerospace Engineering. Recurrent topics in Sudeep Pillai's work include Advanced Vision and Imaging (4 papers), Robotics and Sensor-Based Localization (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Sudeep Pillai is often cited by papers focused on Advanced Vision and Imaging (4 papers), Robotics and Sensor-Based Localization (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Sudeep Pillai collaborates with scholars based in United States, Japan and Luxembourg. Sudeep Pillai's co-authors include Matthew R. Walter, Seth Teller, John J. Leonard, Srikumar Ramalingam, Michel Antunes, Gim Hee Lee, Srikumar Ramalingam, Adrien Gaidon, Rareş Ambruş and Vitor Guizilini and has published in prestigious journals such as Proceedings of the VLDB Endowment, Deep Blue (University of Michigan) and arXiv (Cornell University).

In The Last Decade

Sudeep Pillai

7 papers receiving 87 citations

Peers

Sudeep Pillai
Comparison fields: 5 of 27
  • Computer Vision and Pattern Recognition 64
  • Aerospace Engineering 47
  • Artificial Intelligence 11
  • Control and Systems Engineering 10
  • Environmental Engineering 9
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Daniel DeTone United States
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Yuan-Ting Hu United States
Johan Edstedt Sweden
Ho Kei Cheng United States
Alex Pon Canada
Shuda Li United Kingdom
Russ Webb United States
Runzhou Ge Germany
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Citations per field, relative to Sudeep Pillai
Sudeep Pillai · 1×
Citations per year, relative to Sudeep Pillai
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Countries citing papers authored by Sudeep Pillai

Since Specialization
Citations

This map shows the geographic impact of Sudeep Pillai'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 Sudeep Pillai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sudeep Pillai more than expected).

Fields of papers citing papers by Sudeep Pillai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sudeep Pillai. 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 Sudeep Pillai. The network helps show where Sudeep Pillai may publish in the future.

Co-authorship network of co-authors of Sudeep Pillai

This figure shows the co-authorship network connecting the top 25 collaborators of Sudeep Pillai. A scholar is included among the top collaborators of Sudeep Pillai 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 Sudeep Pillai. Sudeep Pillai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
# Work Indexed citations
1 9
2
PackNet-SfM: 3D Packing for Self-Supervised Monocular Depth Estimation.
10
3 4
4 2
5 18
6 24
7 23
8
Computer-Controlled Machines for Pathology Slide Sorting and Cataloguing System
0

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.

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2026