Javin Schefflein
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Neurology top 5%
- Long-Term Effects of COVID-19
Papers in
-
- Long-Term Effects of COVID-19 5
- CNS Lymphoma Diagnosis and Treatment 2
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- Radiomics and Machine Learning in Medical Imaging 2
- Co-authors
- J Mocco (4 shared papers)Joseph J. Titano (3 shared papers)Eric Karl Oermann (3 shared papers)Amish H. Doshi (7 shared papers)Margaret Pain (2 shared papers)Anthony Beardsworth Costa (2 shared papers)Joshua B. Bederson (2 shared papers)Marcus A. Badgeley (2 shared papers)
- Journals
- American Journal of Neuroradiology (3 papers)Journal of Vascular and Interventional Radiology (2 papers)Blood Advances (2 papers)Journal of neurosurgery (1 paper)Nature Medicine (1 paper)
- Partner nations
- United StatesLebanon
In The Last Decade
Javin Schefflein
21 papers receiving 883 citations
Javin Schefflein's Hit Papers
Peers
Comparison fields: 5 of 103
- Health Informatics 145
- Neurology 288
- Radiology, Nuclear Medicine and Imaging 200
- Infectious Diseases 138
- Neurology 55
Countries citing papers authored by Javin Schefflein
This map shows the geographic impact of Javin Schefflein'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 Javin Schefflein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javin Schefflein more than expected).
Fields of papers citing papers by Javin Schefflein
This network shows the impact of papers produced by Javin Schefflein. 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 Javin Schefflein. The network helps show where Javin Schefflein may publish in the future.
Co-authors
The 25 scholars most cited alongside Javin Schefflein, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Automated deep-neural-network surveillance of cranial images for acute neurologic events Hit paper breakdown → | 2018 | 344 |
| 2 | 2020 | 138 | |
| 3 | 2018 | 119 | |
| 4 | 2020 | 67 | |
| 5 | 2019 | 58 | |
| 6 | 2020 | 42 | |
| 7 | 2020 | 29 | |
| 8 | 2024 | 21 | |
| 9 | 2020 | 18 | |
| 10 | 2023 | 16 | |
| 11 | 2021 | 15 | |
| 12 | 2012 | 11 | |
| 13 | 2024 | 10 | |
| 14 | 2020 | 9 | |
| 15 | 2019 | 5 | |
| 16 | 2025 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2022 | 2 | |
| 19 | 2025 | 1 | |
| 20 | 2019 | 1 |
About Javin Schefflein
Javin Schefflein is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 26 papers that have together received 913 indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (5 papers), COVID-19 Clinical Research Studies (3 papers), Augmented Reality Applications (3 papers), Surgical Simulation and Training (3 papers), CNS Lymphoma Diagnosis and Treatment (2 papers), Medical Imaging and Analysis (2 papers), Anatomy and Medical Technology (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Health Informatics (145 citations), Neurology (288 citations), Radiology, Nuclear Medicine and Imaging (200 citations), Infectious Diseases (138 citations) and Neurology (55 citations). Javin Schefflein has collaborated with scholars based in United States and Lebanon. Frequent co-authors include J Mocco, Joseph J. Titano, Eric Karl Oermann, Amish H. Doshi, Margaret Pain, Anthony Beardsworth Costa, Joshua B. Bederson, Marcus A. Badgeley, Joseph Lehár and John R. Zech. Their work appears in journals such as American Journal of Neuroradiology, Journal of Vascular and Interventional Radiology, Blood Advances, Journal of neurosurgery and Nature 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.