Sai Rajeswar

1.2k citations
10 papers · 150 indexed · h-index 5
Topics
Handwritten Text Recognition Techniques (4 papers)Image Processing and 3D Reconstruction (3 papers)Advanced Image and Video Retrieval Techniques (2 papers)
Journals
PolyPublie (École Polytechnique de Montréal)Proceedings of the AAAI Conference on Artificial Intelligence
Partner nations
IndiaCanada

In The Last Decade

Sai Rajeswar

8 papers receiving 141 citations

Peers

Sai Rajeswar
Comparison fields: 5 of 52
  • Artificial Intelligence 80
  • Computer Vision and Pattern Recognition 75
  • Media Technology 21
  • Signal Processing 15
  • Information Systems 10
Replace Kaiser J. Giri with:
Kaiser J. Giri India
Huangjie Zheng China
Difei Gao Singapore
K. Hemachandran India
Ming-Yu Liu United States
Ladislav Lenc Czechia
Srikar Appalaraju United States
Gajula Ramesh India
Jean–Pierre Chevallet Singapore
Noel Codella United States
Sai Rajeswar relative to Kaiser J. Giri India Kaiser J. Giri's profile →
Citations per field
00.5×
Kaiser J. Giri · 1×
Citations per year

Countries citing papers authored by Sai Rajeswar

Since Specialization
Citations

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

Fields of papers citing papers by Sai Rajeswar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sai Rajeswar

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 1
2 2
3 0
4
Pix2Scene: Learning Implicit 3D Representations from Images
4
5
W2GAN: RECOVERING AN OPTIMAL TRANSPORT MAP WITH A GAN
0
6 75
7 52
8 5
9 4
10 7

About Sai Rajeswar

Sai Rajeswar is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Media Technology, having authored 10 papers that have together received 150 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (4 papers), Image Processing and 3D Reconstruction (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (75 citations), Artificial Intelligence (80 citations) and Media Technology (21 citations). Sai Rajeswar has collaborated with scholars based in India and Canada. Frequent co-authors include Santanu Chaudhury, Aaron Courville, Francis Dutil, Chris Pal, Sandeep Subramanian, Fahim Mannan, Florian Golemo, David Vázquez, Derek Nowrouzezahrai and J.A. Rodríguez. Their work appears in journals such as PolyPublie (École Polytechnique de Montréal) and Proceedings of the AAAI Conference on Artificial Intelligence.

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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