Anne M. Smith
Impact in
- Neurology top 1%
- Vestibular and auditory disorders
- Cognitive Neuroscience top 1%
- Motor Control and Adaptation
- Neural dynamics and brain function
Papers in
-
- Medical Imaging Techniques and Applications 32
- Advanced MRI Techniques and Applications 28
- Radiomics and Machine Learning in Medical Imaging 10
- MRI in cancer diagnosis 9
- Radiation 12
- Co-authors
- John KalaskaP. A. FortierGeneviève CadoretRoland MaterneBernard E. Van BeersYves HorsmansThierry DuprezDaniel Bourbonnais
- Journals
- Journal of Neurophysiology (14 papers)Experimental Brain Research (7 papers)Magnetic Resonance in Medicine (4 papers)Clinical Science (4 papers)Journal of Magnetic Resonance Imaging (4 papers)
- Partner nations
- United StatesCanadaBelgium
In The Last Decade
Anne M. Smith
90 papers receiving 4.7k citations
Peers
Comparison fields: 5 of 137
- Neurology 819
- Cognitive Neuroscience 1.7k
- Radiology, Nuclear Medicine and Imaging 2.0k
- Hepatology 496
- Cellular and Molecular Neuroscience 498
Countries citing papers authored by Anne M. Smith
This map shows the geographic impact of Anne M. Smith'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 Anne M. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne M. Smith more than expected).
Fields of papers citing papers by Anne M. Smith
This network shows the impact of papers produced by Anne M. Smith. 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 Anne M. Smith. The network helps show where Anne M. Smith may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anne M. Smith, 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 | 2024 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 3 | |
| 4 | 2022 | 19 | |
| 5 | 2020 | 26 | |
| 6 | 2020 | 50 | |
| 7 | 2018 | 8 | |
| 8 | 2012 | 17 | |
| 9 | 2005 | 23 | |
| 10 | 2004 | 37 | |
| 11 | 2003 | 10 | |
| 12 | 2003 | 220 | |
| 13 | 2001 | 193 | |
| 14 | 2001 | 36 | |
| 15 | 2000 | 264 | |
| 16 | 2000 | 50 | |
| 17 | 2000 | 19 | |
| 18 | 1997 | 38 | |
| 19 | 1995 | 5 | |
| 20 | 1994 | 4 |
About Anne M. Smith
Anne M. Smith is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation, Neurology, Cognitive Neuroscience and Physical Therapy, Sports Therapy and Rehabilitation, having authored 92 papers that have together received 4.9k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (32 papers), Advanced MRI Techniques and Applications (28 papers), Motor Control and Adaptation (15 papers), Muscle activation and electromyography studies (14 papers), Advanced X-ray and CT Imaging (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), MRI in cancer diagnosis (9 papers) and Vestibular and auditory disorders (8 papers). The work is most often cited by research in Neurology (819 citations), Cognitive Neuroscience (1.7k citations), Radiology, Nuclear Medicine and Imaging (2.0k citations), Hepatology (496 citations) and Cellular and Molecular Neuroscience (498 citations). Anne M. Smith has collaborated with scholars based in United States, Canada and Belgium. Frequent co-authors include John Kalaska, P. A. Fortier, Geneviève Cadoret, Roland Materne, Bernard E. Van Beers, Yves Horsmans, Thierry Duprez, Daniel Bourbonnais, Jacques Jamart and Guy Cosnard. Their work appears in journals such as Journal of Neurophysiology, Experimental Brain Research, Magnetic Resonance in Medicine, Clinical Science and Journal of Magnetic Resonance Imaging.
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.