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 6
- CNS Lymphoma Diagnosis and Treatment 2
- Co-authors
- J Mocco (4 shared papers)Amish Doshi (7 shared papers)Eric K. Oermann (3 shared papers)J. Titano (3 shared papers)Joshua B. Bederson (2 shared papers)Anthony Costa (2 shared papers)Joseph Lehár (2 shared papers)Margaret Pain (2 shared papers)
- Journals
- American Journal of Neuroradiology (2 papers)Spine (1 paper)International Journal of Radiation Oncology*Biology*Physics (1 paper)Journal of Clinical Medicine (1 paper)Nature Medicine (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Javin Schefflein
19 papers receiving 726 citations
Peers
Comparison fields: 5 of 105
- Health Informatics 140
- Neurology 277
- Infectious Diseases 181
- Radiology, Nuclear Medicine and Imaging 220
- Neurology 56
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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 270 | |
| 2 | 2020 | 129 | |
| 3 | 2018 | 101 | |
| 4 | 2020 | 58 | |
| 5 | 2019 | 52 | |
| 6 | 2020 | 35 | |
| 7 | 2020 | 29 | |
| 8 | 2020 | 17 | |
| 9 | 2021 | 14 | |
| 10 | 2020 | 10 | |
| 11 | 2024 | 8 | |
| 12 | 2012 | 8 | |
| 13 | 2019 | 4 | |
| 14 | 2022 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2019 | 1 | |
| 20 | 2024 | 0 |
About Javin Schefflein
Javin Schefflein is a scholar working on Health Informatics, Neurology, Infectious Diseases, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 21 papers that have together received 742 indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (6 papers), COVID-19 Clinical Research Studies (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Medical Imaging and Analysis (2 papers), Surgical Simulation and Training (2 papers), COVID-19 and healthcare impacts (2 papers), Infectious Encephalopathies and Encephalitis (2 papers) and CNS Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Health Informatics (140 citations), Neurology (277 citations), Infectious Diseases (181 citations), Radiology, Nuclear Medicine and Imaging (220 citations) and Neurology (56 citations). Javin Schefflein has collaborated with scholars based in United States and India. Frequent co-authors include J Mocco, Amish Doshi, Eric K. Oermann, J. Titano, Joshua B. Bederson, Anthony Costa, Joseph Lehár, Margaret Pain, Marcus A. Badgeley and John R. Zech. Their work appears in journals such as American Journal of Neuroradiology, Spine, International Journal of Radiation Oncology*Biology*Physics, Journal of Clinical Medicine 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.