William Speier
- Health Informatics top 2%
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces 24
- Functional Brain Connectivity Studies 8
- Human-Computer Interaction top 5%
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- Radiomics and Machine Learning in Medical Imaging 11
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- Neuroscience and Neural Engineering 10
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- AI in cancer detection 9
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- Cerebrovascular and Carotid Artery Diseases 8
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- Acute Ischemic Stroke Management 8
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- Mobile Health and mHealth Applications 8
- Co-authors
- Corey ArnoldNader PouratianKing Chung HoJ. Robert BeckSuzie El‐SadenJiayun LiJessica R. LuMichael Ong
- Journals
- PLoS ONE (8 papers)Clinical Neurophysiology (5 papers)Journal of Neural Engineering (5 papers)
- Partner nations
- United StatesCanadaGreece
In The Last Decade
William Speier
83 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 145
- Health Informatics 86
- Cognitive Neuroscience 412
- Human-Computer Interaction 101
- Health Information Management 84
- Radiology, Nuclear Medicine and Imaging 384
Countries citing papers authored by William Speier
This map shows the geographic impact of William Speier'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 William Speier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Speier more than expected).
Fields of papers citing papers by William Speier
This network shows the impact of papers produced by William Speier. 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 William Speier. The network helps show where William Speier may publish in the future.
Co-authorship network
The 25 scholars most cited alongside William Speier, 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 9 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 5 | |
| 10 | 2023 | 10 | |
| 11 | 2023 | 1 | |
| 12 | 2022 | 12 | |
| 13 | 2022 | 38 | |
| 14 | 2021 | 27 | |
| 15 | 2020 | 7 | |
| 16 | 2019 | 39 | |
| 17 | 2019 | 23 | |
| 18 | Semi-supervised learning based on generative adversarial network: a comparison between good GAN and bad GAN approach | 2019 | 1 |
| 19 | 2019 | 9 | |
| 20 | 2016 | 43 |
About William Speier
William Speier is a scholar working on Health Informatics, Family Practice, Cognitive Neuroscience, Human-Computer Interaction and Radiology, Nuclear Medicine and Imaging, having authored 90 papers that have together received 1.8k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (24 papers), Radiomics and Machine Learning in Medical Imaging (11 papers), Neuroscience and Neural Engineering (10 papers), AI in cancer detection (9 papers), Cerebrovascular and Carotid Artery Diseases (8 papers), Acute Ischemic Stroke Management (8 papers), Functional Brain Connectivity Studies (8 papers) and Mobile Health and mHealth Applications (8 papers). The work is most often cited by research in Health Informatics (86 citations), Cognitive Neuroscience (412 citations), Human-Computer Interaction (101 citations), Health Information Management (84 citations) and Radiology, Nuclear Medicine and Imaging (384 citations). William Speier has collaborated with scholars based in United States, Canada and Greece. Frequent co-authors include Corey Arnold, Nader Pouratian, King Chung Ho, J. Robert Beck, Suzie El‐Saden, Jiayun Li, Jessica R. Lu, Michael Ong, Wenyuan Li and Alan Pollack. Their work appears in journals such as PLoS ONE, Clinical Neurophysiology, Journal of Neural Engineering, Journal of the American Medical Informatics Association and Bioinformatics.
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.