James Davis

8.3k citations
109 papers · 5.4k indexed · 2 hit papers · h-index 34

Impact in

Papers in

James Davis

102 papers receiving 5.2k citations

Hit Papers

Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification 2016 · 517 citations
5172005202620122019250500750

Peers

James Davis
Comparison fields: 5 of 171
  • Computer Graphics and Computer-Aided Design 1.1k
  • Computer Vision and Pattern Recognition 3.7k
  • Instrumentation 417
  • Acoustics and Ultrasonics 107
  • Geology 487
Replace Xin Tong with:
Xin Tong China
Michael F. Cohen United States
Andreas Kolb Germany
Dani Lischinski Israel
Aaron Hertzmann United States
Tiejun Huang China
Ken Perlin United States
Ce Liu United States
Henry Fuchs United States
Xiaohui Shen United States
James Davis relative to Xin Tong China Xin Tong's profile →
Citations per field
00.5×6.0×
Xin Tong · 1×
Citations per year

Countries citing papers authored by James Davis

Since Specialization
Citations

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

Fields of papers citing papers by James Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20232
4
Efficient Multiple Instance Convolutional Neural Networks for Gigapixel Resolution Image Classification.
201530
5 201584
6 201511
7
Human-Powered Top-k Lists
201317
8 20139
9 201323
10
CrowdSight: rapidly prototyping intelligent visual processing apps
20112
11 20103
12 200910
13 2009124
14 20072
15 200712
16
SCAPE
Hit paper breakdown →
2005979
17 2005202
18
The Correlated Correspondence Algorithm for Unsupervised Registration of Nonrigid Surfaces
2004132
19 2003330
20
Slope Restroration for a 100-Year Old Canal
19951

About James Davis

James Davis is a scholar working on Computer Graphics and Computer-Aided Design, Instrumentation, Computer Vision and Pattern Recognition, Computer Science Applications and Acoustics and Ultrasonics, having authored 109 papers that have together received 5.4k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (33 papers), Computer Graphics and Visualization Techniques (16 papers), Optical measurement and interference techniques (14 papers), Advanced Optical Sensing Technologies (12 papers), 3D Shape Modeling and Analysis (10 papers), Mobile Crowdsensing and Crowdsourcing (10 papers), Human Pose and Action Recognition (9 papers) and Image Enhancement Techniques (9 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (1.1k citations), Computer Vision and Pattern Recognition (3.7k citations), Instrumentation (417 citations), Acoustics and Ultrasonics (107 citations) and Geology (487 citations). James Davis has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Sebastian Thrun, P. Srinivasan, Dragomir Anguelov, Daphne Koller, Szymon Rusinkiewicz, Ravi Ramamoorthi, Diego Nehab, Dimitris Samaras, Tahsin Kurç and Le Hou. Their work appears in journals such as ACM Transactions on Graphics, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Visualization and Computer Graphics, Analytical Chemistry and Applied Sciences.

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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