Tom Duerig

5.0k citations
6 papers · 1.5k indexed · 2 hit papers · h-index 6

Tom Duerig

6 papers receiving 1.4k citations

Hit Papers

The Open Images Dataset V4: Unified image classification,...3782018202620202023250500750

Peers

Tom Duerig
Comparison fields: 5 of 123
  • Computer Vision and Pattern Recognition 1.1k
  • Artificial Intelligence 631
  • Media Technology 87
  • Health Informatics 12
  • Industrial and Manufacturing Engineering 58
Replace Shahab Kamali with:
Shahab Kamali United States
Ivan Krasin United States
Lucas Beyer Germany
Xiaohua Zhai China
Jianwei Yang United States
Keze Wang China
Alina Kuznetsova United States
Heliang Zheng China
Ronghang Hu United States
Nanik Suciati Indonesia
Tom Duerig relative to Shahab Kamali United States Shahab Kamali's profile →
Citations per field
00.5×1.5×
Shahab Kamali · 1×
Citations per year

Countries citing papers authored by Tom Duerig

Since Specialization
Citations

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

Fields of papers citing papers by Tom Duerig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Tom Duerig, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tom Duerig Line = papers co-authored together Tom Duerig links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 20245
2
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
20215
3 2020130
4 202012
5
The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scalebreakdown →
2018960
6
The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scalebreakdown →
2018378

About Tom Duerig

Tom Duerig is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Infectious Diseases, having authored 6 papers that have together received 1.5k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (6 papers), Advanced Neural Network Applications (5 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Artificial Intelligence (631 citations) and Media Technology (87 citations). Tom Duerig has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Neil Alldrin, Alina Kuznetsova, Jasper Uijlings, Shahab Kamali, Jordi Pont-Tuset, Ivan Krasin, Stefan Popov, Alexander Kolesnikov, Vittorio Ferrari and Zhen Li. Their work appears in journals such as International Journal of Computer Vision, arXiv (Cornell University) and International Conference on Machine Learning.

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