Santosh Divvala

4.9k total citations
13 papers, 769 citations indexed

About

Santosh Divvala is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Santosh Divvala has authored 13 papers receiving a total of 769 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 0 papers in Infectious Diseases. Recurrent topics in Santosh Divvala's work include Advanced Image and Video Retrieval Techniques (7 papers), Multimodal Machine Learning Applications (5 papers) and Handwritten Text Recognition Techniques (3 papers). Santosh Divvala is often cited by papers focused on Advanced Image and Video Retrieval Techniques (7 papers), Multimodal Machine Learning Applications (5 papers) and Handwritten Text Recognition Techniques (3 papers). Santosh Divvala collaborates with scholars based in United States. Santosh Divvala's 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 and has published in prestigious journals such as 2009 IEEE Conference on Computer Vision and Pattern Recognition, arXiv (Cornell University) and Figshare.

In The Last Decade

Santosh Divvala

11 papers receiving 738 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Santosh Divvala United States	9	664	333	54	42	27	13	769
Wei Ji Singapore	14	602 0.9×	287 0.9×	17 0.3×	42 1.0×	30 1.1×	41	703
Wankou Yang China	13	382 0.6×	231 0.7×	20 0.4×	78 1.9×	14 0.5×	32	522
Miguel García-Silvente Spain	13	308 0.5×	171 0.5×	59 1.1×	27 0.6×	30 1.1×	26	478
Till Quack Switzerland	8	622 0.9×	91 0.3×	105 1.9×	79 1.9×	29 1.1×	9	688
Wei Tong China	13	315 0.5×	119 0.4×	43 0.8×	28 0.7×	21 0.8×	41	487
Denny Zhou United States	11	296 0.4×	287 0.9×	129 2.4×	17 0.4×	34 1.3×	19	627
M. Lu United States	6	547 0.8×	123 0.4×	58 1.1×	35 0.8×	41 1.5×	6	640
Roberto Olmos Spain	5	287 0.4×	269 0.8×	25 0.5×	18 0.4×	14 0.5×	5	450

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

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13 of 13 papers shown

Singh, Krishna Kumar, Santosh Divvala, Ali Farhadi, & Yong Jae Lee. (2018). Transferring Common-Sense Knowledge for Object Detection.. arXiv (Cornell University). 1 indexed citations

Divvala, Santosh, Alexei A. Efros, Martial Hebert, & Svetlana Lazebnik. (2018). Unsupervised Patch-based Context from Millions of Images. Figshare.

Sigurdsson, Gunnar A., Santosh Divvala, Ali Farhadi, & Abhinav Gupta. (2017). Asynchronous Temporal Fields for Action Recognition. 5650–5659. 76 indexed citations

Clark, Christopher & Santosh Divvala. (2016). PDFFigures 2.0. 143–152. 70 indexed citations

Clark, Christopher & Santosh Divvala. (2015). Looking Beyond Text: Extracting Figures, Tables and Captions from Computer Science Papers. National Conference on Artificial Intelligence. 36 indexed citations

Sadeghi, Fereshteh, Santosh Divvala, & Ali Farhadi. (2015). VisKE: Visual knowledge extraction and question answering by visual verification of relation phrases. 1456–1464. 44 indexed citations

Izadinia, Hamid, Fereshteh Sadeghi, Santosh Divvala, et al.. (2015). Segment-Phrase Table for Semantic Segmentation, Visual Entailment and Paraphrasing. 10–18. 16 indexed citations

Divvala, Santosh, Ali Farhadi, & Carlos Guestrin. (2014). Learning Everything about Anything: Webly-Supervised Visual Concept Learning. 3270–3277. 156 indexed citations

Hebert, Martial, Alexei A. Efros, & Santosh Divvala. (2013). Context and Subcategories for Sliding Window Object Recognition. 4 indexed citations

10.

Divvala, Santosh, Alexei A. Efros, & Martial Hebert. (2012). Object Instance Sharing by Enhanced Bounding Box Correspondence. Figshare. 60.1–60.11. 8 indexed citations

11.

Divvala, Santosh, et al.. (2012). Exemplar Driven Character Recognition in the Wild. 13.1–13.10. 23 indexed citations

12.

Divvala, Santosh, Derek Hoiem, James Hays, Alexei A. Efros, & Martial Hebert. (2009). An empirical study of context in object detection. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 1271–1278. 322 indexed citations

13.

Divvala, Santosh, Alexei A. Efros, & Martial Hebert. (2008). Can similar scenes help surface layout estimation?. Figshare. 1–8. 13 indexed citations

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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