Gregory Lemberskiy
- Computational Mathematics top 5%
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- Advanced Neuroimaging Techniques and Applications 17
- MRI in cancer diagnosis 11
- Advanced MRI Techniques and Applications 11
- Radiomics and Machine Learning in Medical Imaging 1
- Orthopedics and Sports Medicine top 10%
- Sports injuries and prevention 2
- Bone and Joint Diseases 2
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- NMR spectroscopy and applications 4
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- Functional Brain Connectivity Studies 1
- Co-authors
- Els FieremansDmitry S. NovikovJelle VeraartLauren M. BurcawHong‐Hsi LeeAndrew B. RosenkrantzSoterios GyftopoulosSamir S. Taneja
- Cited by
- Computational MathematicsRadiology, Nuclear Medicine and ImagingOrthopedics and Sports Medicine
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Gregory Lemberskiy
14 papers receiving 483 citations
Peers
Comparison fields: 5 of 47
- Computational Mathematics 23
- Radiology, Nuclear Medicine and Imaging 457
- Orthopedics and Sports Medicine 84
- Nuclear and High Energy Physics 78
- Cognitive Neuroscience 28
Countries citing papers authored by Gregory Lemberskiy
This map shows the geographic impact of Gregory Lemberskiy'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 Gregory Lemberskiy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory Lemberskiy more than expected).
Fields of papers citing papers by Gregory Lemberskiy
This network shows the impact of papers produced by Gregory Lemberskiy. 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 Gregory Lemberskiy. The network helps show where Gregory Lemberskiy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gregory Lemberskiy, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 36 | |
| 7 | 2022 | 12 | |
| 8 | 2021 | 55 | |
| 9 | 2021 | 25 | |
| 10 | 2021 | 11 | |
| 11 | 2020 | 21 | |
| 12 | 2019 | 9 | |
| 13 | 2018 | 46 | |
| 14 | 2017 | 15 | |
| 15 | 2017 | 1 | |
| 16 | 2017 | 62 | |
| 17 | 2016 | 136 | |
| 18 | 2016 | 53 |
About Gregory Lemberskiy
Gregory Lemberskiy is a scholar working on Radiology, Nuclear Medicine and Imaging, Orthopedics and Sports Medicine and Nuclear and High Energy Physics, having authored 18 papers that have together received 486 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (17 papers), MRI in cancer diagnosis (11 papers), Advanced MRI Techniques and Applications (11 papers), NMR spectroscopy and applications (4 papers), Sports injuries and prevention (2 papers), Bone and Joint Diseases (2 papers), Functional Brain Connectivity Studies (1 paper) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Computational Mathematics (23 citations), Radiology, Nuclear Medicine and Imaging (457 citations) and Orthopedics and Sports Medicine (84 citations). Gregory Lemberskiy has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Els Fieremans, Dmitry S. Novikov, Jelle Veraart, Lauren M. Burcaw, Hong‐Hsi Lee, Andrew B. Rosenkrantz, Soterios Gyftopoulos, Samir S. Taneja, Eric E. Sigmund and Steven H. Baete. Their work appears in journals such as NeuroImage, Radiology 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.