Todd Newman
Impact in
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- Image Enhancement Techniques
- Image and Video Quality Assessment
- Advanced Vision and Imaging
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- Color Science and Applications
Papers in
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- Image Retrieval and Classification Techniques 2
- Image Enhancement Techniques 1
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- Color Science and Applications 3
- Co-authors
- Nathan Moroney (2 shared papers)Changjun Li (2 shared papers)Mark D. Fairchild (2 shared papers)Robert W. G. Hunt (2 shared papers)Ming Ronnier Luo (2 shared papers)Annie Louis (1 shared paper)Alan Robertson (1 shared paper)J. Schanda (1 shared paper)
- Journals
- SAE technical papers on CD-ROM/SAE technical paper series (1 paper)Software Practice and Experience (1 paper)RIT Scholar Works (Rochester Institute of Technology) (1 paper)Color and Imaging Conference (2 papers)International Conference on Computational Linguistics (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Todd Newman
5 papers receiving 196 citations
Peers
Comparison fields: 5 of 42
- Computer Vision and Pattern Recognition 146
- Atomic and Molecular Physics, and Optics 168
- Computer Graphics and Computer-Aided Design 15
- Social Psychology 77
- Media Technology 32
Countries citing papers authored by Todd Newman
This map shows the geographic impact of Todd Newman'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 Todd Newman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Todd Newman more than expected).
Fields of papers citing papers by Todd Newman
This network shows the impact of papers produced by Todd Newman. 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 Todd Newman. The network helps show where Todd Newman may publish in the future.
Co-authors
The 8 scholars most cited alongside Todd Newman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The CIECAM02 color appearance model | 2002 | 201 |
| 2 | 2002 | 17 | |
| 3 | Summarization of Business-Related Tweets: A Concept-Based Approach | 2012 | 6 |
| 4 | Making Color "Plug and Play". | 1997 | 1 |
| 5 | 1990 | 1 | |
| 6 | 2010 | 1 | |
| 7 | 1998 | 0 |
About Todd Newman
Todd Newman is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Computer Networks and Communications, Social Psychology and Artificial Intelligence, having authored 7 papers that have together received 227 indexed citations. Recurring topics across this work include Color Science and Applications (3 papers), Image Retrieval and Classification Techniques (2 papers), Sentiment Analysis and Opinion Mining (1 paper), Color perception and design (1 paper), Image Enhancement Techniques (1 paper), Distributed and Parallel Computing Systems (1 paper), Software System Performance and Reliability (1 paper) and Advanced Text Analysis Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (146 citations), Atomic and Molecular Physics, and Optics (168 citations), Computer Graphics and Computer-Aided Design (15 citations), Social Psychology (77 citations) and Media Technology (32 citations). Todd Newman has collaborated with scholars based in United States and Germany. Frequent co-authors include Nathan Moroney, Changjun Li, Mark D. Fairchild, Robert W. G. Hunt, Ming Ronnier Luo, Annie Louis, Alan Robertson and J. Schanda. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Software Practice and Experience, RIT Scholar Works (Rochester Institute of Technology), Color and Imaging Conference and International Conference on Computational Linguistics.
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.