William Speier
Impact in
- Health Informatics top 2%
-
- Artificial Intelligence in Healthcare
Papers in
-
- EEG and Brain-Computer Interfaces 19
- Functional Brain Connectivity Studies 6
-
- AI in cancer detection 7
- Topic Modeling 5
- Co-authors
- Corey Arnold (62 shared papers)Nader Pouratian (19 shared papers)Michael Ong (8 shared papers)King Chung Ho (4 shared papers)Suzie El‐Saden (5 shared papers)Jiayun Li (7 shared papers)J. Robert Beck (2 shared papers)Jessica R. Lu (3 shared papers)
- Journals
- PLoS ONE (8 papers)Journal of Neural Engineering (5 papers)Clinical Neurophysiology (5 papers)Journal of the American Medical Informatics Association (4 papers)Epilepsia (3 papers)
- Partner nations
- United StatesCanadaRussia
In The Last Decade
William Speier
90 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 144
- Health Informatics 79
- Health Information Management 105
- Cognitive Neuroscience 413
- Radiology, Nuclear Medicine and Imaging 361
- Artificial Intelligence 534
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-authors
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
Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 154 | |
| 2 | 2007 | 113 | |
| 3 | 2021 | 92 | |
| 4 | Bidirectional Representation Learning From Transformers Using Multimodal Electronic Health Record Data to Predict Depression | 2021 | 84 |
| 5 | 2019 | 83 | |
| 6 | 2002 | 67 | |
| 7 | 2007 | 63 | |
| 8 | 2019 | 59 | |
| 9 | 2009 | 55 | |
| 10 | 2012 | 48 | |
| 11 | 2016 | 47 | |
| 12 | 2011 | 47 | |
| 13 | 2022 | 46 | |
| 14 | 2018 | 45 | |
| 15 | 2020 | 43 | |
| 16 | 2019 | 42 | |
| 17 | 2021 | 39 | |
| 18 | Classifying Acute Ischemic Stroke Onset Time using Deep Imaging Features. | 2017 | 38 |
| 19 | 2017 | 36 | |
| 20 | 2014 | 34 |
About William Speier
William Speier is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Epidemiology, having authored 96 papers that have together received 2.1k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (19 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Acute Ischemic Stroke Management (9 papers), Neuroscience and Neural Engineering (7 papers), AI in cancer detection (7 papers), Cerebrovascular and Carotid Artery Diseases (6 papers), Functional Brain Connectivity Studies (6 papers) and Topic Modeling (5 papers). The work is most often cited by research in Health Informatics (79 citations), Health Information Management (105 citations), Cognitive Neuroscience (413 citations), Radiology, Nuclear Medicine and Imaging (361 citations) and Artificial Intelligence (534 citations). William Speier has collaborated with scholars based in United States, Canada and Russia. Frequent co-authors include Corey Arnold, Nader Pouratian, Michael Ong, King Chung Ho, Suzie El‐Saden, Jiayun Li, J. Robert Beck, Jessica R. Lu, Wenyuan Li and Alexandra L. Hanlon. Their work appears in journals such as PLoS ONE, Journal of Neural Engineering, Clinical Neurophysiology, Journal of the American Medical Informatics Association and Epilepsia.
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.