Santosh Divvala

4.9k citations
13 papers · 769 indexed · h-index 9
Topics
Advanced Image and Video Retrieval Techniques (7 papers)Multimodal Machine Learning Applications (5 papers)Handwritten Text Recognition Techniques (3 papers)
Journals
2009 IEEE Conference on Computer Vision and Pattern RecognitionarXiv (Cornell University)Figshare
Partner nations
United States

In The Last Decade

Santosh Divvala

11 papers receiving 738 citations

Peers

Santosh Divvala
Comparison fields: 5 of 65
  • Computer Vision and Pattern Recognition 664
  • Artificial Intelligence 333
  • Aerospace Engineering 54
  • Media Technology 42
  • Information Systems 27
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Wei Ji Singapore
Younes Akbari Qatar
Till Quack Switzerland
Miguel García-Silvente Spain
Guangfeng Lin China
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Citations per field
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Citations per year

Countries citing papers authored by Santosh Divvala

Since Specialization
Citations

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

Fields of papers citing papers by Santosh Divvala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Santosh Divvala

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1
Transferring Common-Sense Knowledge for Object Detection.
1
2 0
3 76
4 70
5
Looking Beyond Text: Extracting Figures, Tables and Captions from Computer Science Papers
36
6 44
7 16
8 156
9
Context and Subcategories for Sliding Window Object Recognition
4
10 8
11 23
12 322
13 13

About Santosh Divvala

Santosh Divvala is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Infectious Diseases, having authored 13 papers that have together received 769 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (7 papers), Multimodal Machine Learning Applications (5 papers) and Handwritten Text Recognition Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (664 citations), Artificial Intelligence (333 citations) and Media Technology (42 citations). Santosh Divvala has collaborated with scholars based in United States. Frequent co-authors include Ali Farhadi, Alexei A. Efros, Martial Hebert, Derek Hoiem, James Hays, Christopher Clark, Carlos Guestrin, Gunnar A. Sigurdsson, Abhinav Gupta and Fereshteh Sadeghi. Their work appears in journals such as 2009 IEEE Conference on Computer Vision and Pattern Recognition, arXiv (Cornell University) and Figshare.

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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