James Hays

59.6k citations
80 papers · 10.0k indexed · 10 hit papers · h-index 37

Impact in

Papers in

James Hays

80 papers receiving 9.6k citations

Hit Papers

Argoverse: 3D Tracking and Forecasting With Rich Maps 2019 · 882 citations
882200720262013201950010001.5k

Peers

James Hays
Comparison fields: 5 of 147
  • Computer Vision and Pattern Recognition 8.1k
  • Computer Graphics and Computer-Aided Design 852
  • Media Technology 915
  • Artificial Intelligence 2.2k
  • Geology 338
Replace Sanja Fidler with:
Sanja Fidler Canada
Alexey Dosovitskiy Germany
In So Kweon South Korea
Derek Hoiem United States
Cewu Lu China
Bastian Leibe Germany
Song‐Chun Zhu United States
Gabriel Brostow United Kingdom
Shai Avidan Israel
Manmohan Chandraker United States
James Hays relative to Sanja Fidler Canada Sanja Fidler's profile →
Citations per field
00.5×1.5×1.9×
Sanja Fidler · 1×
Citations per year

Countries citing papers authored by James Hays

Since Specialization
Citations

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

Fields of papers citing papers by James Hays

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside James Hays, 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 James Hays Line = papers co-authored together James Hays links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20243
3 20239
4 20232
5 2020105
6
Learning to Generate Textures on 3D Meshes
20193
7
How to Train Your DRAGAN
201712
8 201622
9
The sketchy database
Hit paper breakdown →
2016370
10
Webgazer: scalable webcam eye tracking using user interactions
2016132
11 201659
12 2015251
13
SUN Database: Exploring a Large Collection of Scene Categories
20149
14 2013169
15 201318
16 2009322
17 200992
18 200694
19 200523
20 19731

About James Hays

James Hays is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Space and Planetary Science, Media Technology and Human-Computer Interaction, having authored 80 papers that have together received 10.0k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (41 papers), Advanced Vision and Imaging (14 papers), Robotics and Sensor-Based Localization (13 papers), Computer Graphics and Visualization Techniques (11 papers), Video Surveillance and Tracking Methods (11 papers), Multimodal Machine Learning Applications (11 papers), Advanced Neural Network Applications (11 papers) and Visual Attention and Saliency Detection (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (8.1k citations), Computer Graphics and Computer-Aided Design (852 citations), Media Technology (915 citations), Artificial Intelligence (2.2k citations) and Geology (338 citations). James Hays has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Alexei A. Efros, Jianxiong Xiao, Antonio Torralba, Krista A. Ehinger, Aude Oliva, Geneviève Patterson, Patsorn Sangkloy, Marc Alexa, Mathias Eitz and Serge Belongie. Their work appears in journals such as ACM Transactions on Graphics, IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, Communications of the ACM and Scientific Reports.

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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