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
- EEG and Brain-Computer Interfaces 1
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- Advanced Neuroimaging Techniques and Applications 3
- Co-authors
- Yulia Akinina (1 shared paper)Nina F. Dronkers (1 shared paper)Olga Dragoy (1 shared paper)Maria V. Ivanova (1 shared paper)Guillermo Sapiro (6 shared papers)David Carlson (2 shared papers)Kimberly L. H. Carpenter (3 shared papers)Géraldine Dawson (3 shared papers)
- Journals
- Computers in Biology and Medicine (1 paper)Scientific Reports (1 paper)Cortex (1 paper)The Cerebellum (1 paper)Magnetic Resonance in Medicine (1 paper)
- Partner nations
- United StatesNetherlandsUruguay
In The Last Decade
Dmitry Isaev
8 papers receiving 205 citations
Peers
Comparison fields: 5 of 47
- Cognitive Neuroscience 152
- Radiology, Nuclear Medicine and Imaging 114
- Psychiatry and Mental health 40
- Rehabilitation 13
- Pediatrics, Perinatology and Child Health 35
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 | 147 | |
| 2 | 2017 | 19 | |
| 3 | Attention-Based Network for Weak Labels in Neonatal Seizure Detection. | 2020 | 17 |
| 4 | 2020 | 15 | |
| 5 | 2021 | 4 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 2 | |
| 9 | 2017 | 0 |
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 209 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (3 papers), Autism Spectrum Disorder Research (3 papers), Child Development and Digital Technology (2 papers), Behavioral and Psychological Studies (1 paper), ECG Monitoring and Analysis (1 paper), 3D Shape Modeling and Analysis (1 paper), Phonetics and Phonology Research (1 paper) and EEG and Brain-Computer Interfaces (1 paper). The work is most often cited by research in Cognitive Neuroscience (152 citations), Radiology, Nuclear Medicine and Imaging (114 citations), Psychiatry and Mental health (40 citations), Rehabilitation (13 citations) and Pediatrics, Perinatology and Child Health (35 citations). Dmitry Isaev has collaborated with scholars based in United States, Netherlands and Uruguay. Frequent co-authors include Yulia Akinina, Nina F. Dronkers, Olga Dragoy, Maria V. Ivanova, Guillermo Sapiro, David Carlson, Kimberly L. H. Carpenter, Géraldine Dawson, Neda Jahanshad and David Tanaka. Their work appears in journals such as Computers in Biology and Medicine, Scientific Reports, Cortex, The Cerebellum and Magnetic Resonance in Medicine.
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.