Todd Ogden
Impact in
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- Tryptophan and brain disorders
- Statistics and Probability top 10%
- Statistical Methods and Inference
Papers in
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- Advanced Statistical Methods and Models 2
- Statistical Methods and Inference 2
- Statistics Education and Methodologies 1
- Fuzzy Systems and Optimization 1
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- Image and Signal Denoising Methods 3
- Co-authors
- Emanuel Parzen (2 shared papers)Ramin V. Parsey (3 shared papers)María A. Oquendo (2 shared papers)J. John Mann (1 shared paper)Jeffrey M. Miller (1 shared paper)Gregory M. Sullivan (1 shared paper)Geoffrey L. Collier (1 shared paper)Crystal Cooper (2 shared papers)
- Journals
- Human Brain Mapping (1 paper)Journal of the Royal Statistical Society Series C (Applied Statistics) (1 paper)Journal of Statistical Computation and Simulation (1 paper)Neuropsychopharmacology (1 paper)Computational Statistics & Data Analysis (1 paper)
- Partner nations
- United StatesCzechia
In The Last Decade
Todd Ogden
11 papers receiving 323 citations
Peers
Comparison fields: 5 of 94
- Biological Psychiatry 18
- Statistics and Probability 42
- Behavioral Neuroscience 11
- Computer Vision and Pattern Recognition 72
- Cognitive Neuroscience 55
Countries citing papers authored by Todd Ogden
This map shows the geographic impact of Todd Ogden'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 Ogden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Todd Ogden more than expected).
Fields of papers citing papers by Todd Ogden
This network shows the impact of papers produced by Todd Ogden. 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 Ogden. The network helps show where Todd Ogden may publish in the future.
Co-authors
The 25 scholars most cited alongside Todd Ogden, 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 | 2009 | 82 | |
| 2 | 1996 | 61 | |
| 3 | 1996 | 56 | |
| 4 | 1997 | 33 | |
| 5 | 2017 | 32 | |
| 6 | 2002 | 31 | |
| 7 | 1997 | 18 | |
| 8 | 2017 | 15 | |
| 9 | 2018 | 9 | |
| 10 | 2002 | 7 | |
| 11 | 2017 | 2 | |
| 12 | 2025 | 0 |
About Todd Ogden
Todd Ogden is a scholar working on Statistics and Probability, Computer Vision and Pattern Recognition, Media Technology, Applied Mathematics and Pharmacology, having authored 12 papers that have together received 346 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (3 papers), Advanced Statistical Methods and Models (2 papers), Statistical and numerical algorithms (2 papers), Statistical Methods and Inference (2 papers), Advanced Image Fusion Techniques (2 papers), Advanced Control Systems Optimization (1 paper), Statistics Education and Methodologies (1 paper) and Fuzzy Systems and Optimization (1 paper). The work is most often cited by research in Biological Psychiatry (18 citations), Statistics and Probability (42 citations), Behavioral Neuroscience (11 citations), Computer Vision and Pattern Recognition (72 citations) and Cognitive Neuroscience (55 citations). Todd Ogden has collaborated with scholars based in United States and Czechia. Frequent co-authors include Emanuel Parzen, Ramin V. Parsey, María A. Oquendo, J. John Mann, Jeffrey M. Miller, Gregory M. Sullivan, Geoffrey L. Collier, Crystal Cooper, Patrick J. McGrath and Madhukar H. Trivedi. Their work appears in journals such as Human Brain Mapping, Journal of the Royal Statistical Society Series C (Applied Statistics), Journal of Statistical Computation and Simulation, Neuropsychopharmacology and Computational Statistics & Data Analysis.
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.