Dmitry Isaev
Impact in
- Cognitive Neuroscience top 10%
- Neurobiology of Language and Bilingualism
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Autism Spectrum Disorder Research
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- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
Papers in
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- Autism Spectrum Disorder Research 3
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- Advanced Neuroimaging Techniques and Applications 3
- Co-authors
- Maria V. Ivanova (1 shared paper)Yulia Akinina (1 shared paper)Nina F. Dronkers (1 shared paper)Olga Dragoy (1 shared paper)Guillermo Sapiro (6 shared papers)David Carlson (2 shared papers)Géraldine Dawson (3 shared papers)Kimberly L. H. Carpenter (3 shared papers)
- Journals
- Magnetic Resonance in Medicine (1 paper)Autism (1 paper)The Cerebellum (1 paper)Cortex (1 paper)Journal of Autism and Developmental Disorders (1 paper)
- Partner nations
- United StatesNetherlandsRussia
In The Last Decade
Dmitry Isaev
9 papers receiving 212 citations
Peers
Comparison fields: 5 of 46
- Cognitive Neuroscience 137
- Radiology, Nuclear Medicine and Imaging 97
- Psychiatry and Mental health 29
- Rehabilitation 11
- Computational Mathematics 1
Countries citing papers authored by Dmitry Isaev
This map shows the geographic impact of Dmitry Isaev'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 Dmitry Isaev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitry Isaev more than expected).
Fields of papers citing papers by Dmitry Isaev
This network shows the impact of papers produced by Dmitry Isaev. 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 Dmitry Isaev. The network helps show where Dmitry Isaev may publish in the future.
Co-authors
The 25 scholars most cited alongside Dmitry Isaev, 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 | 2016 | 152 | |
| 2 | 2017 | 19 | |
| 3 | Attention-Based Network for Weak Labels in Neonatal Seizure Detection. | 2020 | 17 |
| 4 | 2020 | 15 | |
| 5 | 2021 | 4 | |
| 6 | 2023 | 3 | |
| 7 | 2024 | 3 | |
| 8 | 2023 | 2 | |
| 9 | 2017 | 1 |
About Dmitry Isaev
Dmitry Isaev is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Clinical Psychology, Education and Cardiology and Cardiovascular Medicine, having authored 9 papers that have together received 216 indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (3 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Child Development and Digital Technology (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Behavioral and Psychological Studies (1 paper), Medical Image Segmentation Techniques (1 paper), Family and Disability Support Research (1 paper) and Phonetics and Phonology Research (1 paper). The work is most often cited by research in Cognitive Neuroscience (137 citations), Radiology, Nuclear Medicine and Imaging (97 citations), Psychiatry and Mental health (29 citations), Rehabilitation (11 citations) and Computational Mathematics (1 citation). Dmitry Isaev has collaborated with scholars based in United States, Netherlands and Russia. Frequent co-authors include Maria V. Ivanova, Yulia Akinina, Nina F. Dronkers, Olga Dragoy, Guillermo Sapiro, David Carlson, Géraldine Dawson, Kimberly L. H. Carpenter, Talia M. Nir and Dmitry Tchapyjnikov. Their work appears in journals such as Magnetic Resonance in Medicine, Autism, The Cerebellum, Cortex and Journal of Autism and Developmental Disorders.
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.