Eva Maxfield Brown
Impact in
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- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
Papers in
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- Natural Language Processing Techniques 2
- Topic Modeling 1
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- Electoral Systems and Political Participation 1
- Co-authors
- Julie A. Theriot (1 shared paper)Theo Knijnenburg (1 shared paper)Nathalie Gaudreault (1 shared paper)Liya Ding (1 shared paper)Rory Donovan-Maiye (1 shared paper)Calysta Yan (1 shared paper)Caleb K. Chan (1 shared paper)Mary M. Maleckar (1 shared paper)
- Journals
- Journal of Applied Psychology (1 paper)Value in Health (1 paper)PLoS Computational Biology (1 paper)Proceedings of the ACM on Human-Computer Interaction (1 paper)Proceedings of the Association for Information Science and Technology (1 paper)
- Partner nations
- United StatesSwitzerlandNew Zealand
In The Last Decade
Eva Maxfield Brown
8 papers receiving 63 citations
Peers
Comparison fields: 5 of 59
- Biophysics 13
- General Decision Sciences 2
- General Psychology 1
- Media Technology 6
- Applied Psychology 3
Countries citing papers authored by Eva Maxfield Brown
This map shows the geographic impact of Eva Maxfield Brown'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 Eva Maxfield Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Maxfield Brown more than expected).
Fields of papers citing papers by Eva Maxfield Brown
This network shows the impact of papers produced by Eva Maxfield Brown. 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 Eva Maxfield Brown. The network helps show where Eva Maxfield Brown may publish in the future.
Co-authors
The 18 scholars most cited alongside Eva Maxfield Brown, 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 | 1968 | 35 | |
| 2 | 2022 | 21 | |
| 3 | Computer polygraphic system for infants at risk for sudden infant death syndrome (SIDS). | 1990 | 6 |
| 4 | 2025 | 3 | |
| 5 | 2021 | 3 | |
| 6 | 2019 | 3 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 1 |
About Eva Maxfield Brown
Eva Maxfield Brown is a scholar working on Artificial Intelligence, Political Science and International Relations, Communication, Molecular Biology and Social Psychology, having authored 8 papers that have together received 73 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (2 papers), Neuroscience of respiration and sleep (1 paper), Electoral Systems and Political Participation (1 paper), Attention Economy in Education and Business (1 paper), Music and Audio Processing (1 paper), Topic Modeling (1 paper), Liver Disease Diagnosis and Treatment (1 paper) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Biophysics (13 citations), General Decision Sciences (2 citations), General Psychology (1 citation), Media Technology (6 citations) and Applied Psychology (3 citations). Eva Maxfield Brown has collaborated with scholars based in United States, Switzerland and New Zealand. Frequent co-authors include Julie A. Theriot, Theo Knijnenburg, Nathalie Gaudreault, Liya Ding, Rory Donovan-Maiye, Calysta Yan, Caleb K. Chan, Mary M. Maleckar, Hong Xiao and Vincent Lo Re. Their work appears in journals such as Journal of Applied Psychology, Value in Health, PLoS Computational Biology, Proceedings of the ACM on Human-Computer Interaction and Proceedings of the Association for Information Science and Technology.
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.