Michael Shifrin
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
Papers in
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- Advancements in Photolithography Techniques 6
- Integrated Circuits and Semiconductor Failure Analysis 5
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- Meningioma and schwannoma management 4
- Co-authors
- Gleb Danilov (30 shared papers)Potapov Aa (11 shared papers)Vladimir Zelman (2 shared papers)О Н Ершова (7 shared papers)Alexander Kulikov (2 shared papers)Yu. N. Orlov (2 shared papers)Igor Pronin (4 shared papers)Peeter Ross (1 shared paper)
- Journals
- Neuro-Oncology (1 paper)Med (1 paper)Antimicrobial Resistance and Infection Control (1 paper)Marine Biology (1 paper)Journal of Critical Care (1 paper)
- Partner nations
- RussiaUnited StatesIsrael
In The Last Decade
Michael Shifrin
46 papers receiving 343 citations
Peers
Comparison fields: 5 of 98
- Health Informatics 53
- Applied Microbiology and Biotechnology 10
- Health Information Management 21
- Molecular Medicine 19
- Neurology 46
Countries citing papers authored by Michael Shifrin
This map shows the geographic impact of Michael Shifrin'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 Michael Shifrin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Shifrin more than expected).
Fields of papers citing papers by Michael Shifrin
This network shows the impact of papers produced by Michael Shifrin. 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 Michael Shifrin. The network helps show where Michael Shifrin may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Shifrin, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 42 | |
| 2 | 2018 | 38 | |
| 3 | 2020 | 31 | |
| 4 | 2020 | 28 | |
| 5 | 1969 | 27 | |
| 6 | 2013 | 22 | |
| 7 | 2020 | 15 | |
| 8 | 2019 | 13 | |
| 9 | 2023 | 13 | |
| 10 | 2017 | 13 | |
| 11 | 2022 | 12 | |
| 12 | 2016 | 9 | |
| 13 | 2020 | 8 | |
| 14 | 2017 | 7 | |
| 15 | 2016 | 6 | |
| 16 | 2022 | 5 | |
| 17 | 2015 | 5 | |
| 18 | 2015 | 5 | |
| 19 | 2020 | 4 | |
| 20 | 2022 | 4 |
About Michael Shifrin
Michael Shifrin is a scholar working on Electrical and Electronic Engineering, Epidemiology, Health Informatics, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 60 papers that have together received 360 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (7 papers), Artificial Intelligence in Healthcare and Education (7 papers), Advancements in Photolithography Techniques (6 papers), Integrated Circuits and Semiconductor Failure Analysis (5 papers), Surface Roughness and Optical Measurements (4 papers), Meningioma and schwannoma management (4 papers), Cerebral Venous Sinus Thrombosis (3 papers) and Bacterial Infections and Vaccines (3 papers). The work is most often cited by research in Health Informatics (53 citations), Applied Microbiology and Biotechnology (10 citations), Health Information Management (21 citations), Molecular Medicine (19 citations) and Neurology (46 citations). Michael Shifrin has collaborated with scholars based in Russia, United States and Israel. Frequent co-authors include Gleb Danilov, Potapov Aa, Vladimir Zelman, О Н Ершова, Alexander Kulikov, Yu. N. Orlov, Igor Pronin, Peeter Ross, Brigitte Séroussi and Nadezhda K. Fursova. Their work appears in journals such as Neuro-Oncology, Med, Antimicrobial Resistance and Infection Control, Marine Biology and Journal of Critical Care.
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.