Mikhail V. Milchenko
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 2%
- Privacy-Preserving Technologies in Data
- AI in cancer detection
Papers in
-
- Brain Tumor Detection and Classification 5
- Neurological disorders and treatments 4
- Genetics 5
- Glioma Diagnosis and Treatment 3
- Hemoglobinopathies and Related Disorders 2
- Co-authors
- Brandon Edwards (1 shared paper)Jason Martin (1 shared paper)Sarthak Pati (1 shared paper)Rivka R. Colen (1 shared paper)G. Anthony Reina (1 shared paper)Weilin Xu (1 shared paper)Spyridon Bakas (1 shared paper)Micah Sheller (1 shared paper)
- Journals
- PLoS ONE (4 papers)Neuroinformatics (2 papers)Neuro-Oncology (2 papers)Blood (1 paper)American Journal of Hematology (1 paper)
- Partner nations
- United StatesLebanonSwitzerland
In The Last Decade
Mikhail V. Milchenko
29 papers receiving 1.5k citations
Mikhail V. Milchenko's Hit Papers
Peers
Comparison fields: 5 of 68
- Health Informatics 94
- Artificial Intelligence 529
- Neurology 85
- Genetics 65
- Cognitive Neuroscience 131
Countries citing papers authored by Mikhail V. Milchenko
This map shows the geographic impact of Mikhail V. Milchenko'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 Mikhail V. Milchenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikhail V. Milchenko more than expected).
Fields of papers citing papers by Mikhail V. Milchenko
This network shows the impact of papers produced by Mikhail V. Milchenko. 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 Mikhail V. Milchenko. The network helps show where Mikhail V. Milchenko may publish in the future.
Co-authors
The 25 scholars most cited alongside Mikhail V. Milchenko, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data Hit paper breakdown → | 2020 | 1012 |
| 2 | 2012 | 107 | |
| 3 | 2017 | 53 | |
| 4 | 2018 | 53 | |
| 5 | 2020 | 52 | |
| 6 | 2020 | 45 | |
| 7 | 2021 | 43 | |
| 8 | 2022 | 38 | |
| 9 | 2020 | 32 | |
| 10 | 2023 | 20 | |
| 11 | 2018 | 16 | |
| 12 | 2018 | 14 | |
| 13 | 2021 | 14 | |
| 14 | 2013 | 10 | |
| 15 | 2018 | 10 | |
| 16 | 2006 | 8 | |
| 17 | 2013 | 8 | |
| 18 | 2014 | 8 | |
| 19 | 2024 | 8 | |
| 20 | 2025 | 7 |
About Mikhail V. Milchenko
Mikhail V. Milchenko is a scholar working on Neurology, Genetics, Neurology, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 30 papers that have together received 1.6k indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (5 papers), Functional Brain Connectivity Studies (4 papers), Neurological disorders and treatments (4 papers), Glioma Diagnosis and Treatment (3 papers), Hemoglobinopathies and Related Disorders (2 papers), Advanced MRI Techniques and Applications (2 papers), Privacy-Preserving Technologies in Data (1 paper) and Advanced Neuroimaging Techniques and Applications (1 paper). The work is most often cited by research in Health Informatics (94 citations), Artificial Intelligence (529 citations), Neurology (85 citations), Genetics (65 citations) and Cognitive Neuroscience (131 citations). Mikhail V. Milchenko has collaborated with scholars based in United States, Lebanon and Switzerland. Frequent co-authors include Brandon Edwards, Jason Martin, Sarthak Pati, Rivka R. Colen, G. Anthony Reina, Weilin Xu, Spyridon Bakas, Micah Sheller, Aikaterini Kotrotsou and Daniel S. Marcus. Their work appears in journals such as PLoS ONE, Neuroinformatics, Neuro-Oncology, Blood and American Journal of Hematology.
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.