Tom White

4.7k citations
7 papers · 2.9k indexed · 1 hit paper · h-index 4

Impact in

    • Generative Adversarial Networks and Image Synthesis
    • Advanced Image Processing Techniques
    • Digital Media Forensic Detection
    • Image and Signal Denoising Methods
    • Advanced Neural Network Applications
    • Anomaly Detection Techniques and Applications
    • AI in cancer detection

Papers in

Tom White

7 papers receiving 2.8k citations

Hit Papers

Generative Adversarial Networks: An Overview 2018 · 2.7k citations
2.7k201820262020202350010001.5k2.0k2.5k

Peers

Tom White
Comparison fields: 5 of 174
  • Computer Vision and Pattern Recognition 987
  • Artificial Intelligence 855
  • Media Technology 222
  • Signal Processing 232
  • Computer Graphics and Computer-Aided Design 66
Replace Biswa Sengupta with:
Biswa Sengupta United Kingdom
Eric Postma Netherlands
Antonia Creswell United Kingdom
Michael S. Lew Netherlands
豊 松尾
Hamid R. Arabnia United States
Mathilde Caron United States
Baosheng Yu China
Kai Arulkumaran United Kingdom
Radu Tudor Ionescu Romania
Tom White relative to Biswa Sengupta United Kingdom Biswa Sengupta's profile →
Citations per field
00.5×1.5×
Biswa Sengupta · 1×
Citations per year

Countries citing papers authored by Tom White

Since Specialization
Citations

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

Fields of papers citing papers by Tom White

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 14 scholars most cited alongside Tom White, 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 White Line = papers co-authored together Tom White links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Generative Adversarial Networks: An Overview
Hit paper breakdown →
20182721
2
Generating Animations by Sketching in Conceptual Space.
20171
3
Sampling Generative Networks: Notes on a Few Effective Techniques.
201617
4 2012119
5 20103
6 199885
7 19981

About Tom White

Tom White is a scholar working on Software, Computer Vision and Pattern Recognition, Human-Computer Interaction, Social Psychology and Signal Processing, having authored 7 papers that have together received 2.9k indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (2 papers), Color perception and design (2 papers), Image and Signal Denoising Methods (1 paper), Neural Networks and Applications (1 paper), Design Education and Practice (1 paper), Music and Audio Processing (1 paper), Software Engineering Research (1 paper) and Human Motion and Animation (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (987 citations), Artificial Intelligence (855 citations), Media Technology (222 citations), Signal Processing (232 citations) and Computer Graphics and Computer-Aided Design (66 citations). Tom White has collaborated with scholars based in United Kingdom, Canada and New Zealand. Frequent co-authors include Vincent Dumoulin, Kai Arulkumaran, Antonia Creswell, Biswa Sengupta, Anil A. Bharath, Ed Sutherland, Peter Gardner, Sophie Wells, Joshua R. Smith and Joseph A. Paradiso. Their work appears in journals such as Psychology and Marketing, IEEE Signal Processing Magazine, IEEE Computer Graphics and Applications, Color and Imaging Conference and arXiv (Cornell University).

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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