Ariel Jaffe
Impact in
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- Speech and Audio Processing
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- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
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- Gene expression and cancer classification 1
- Single-cell and spatial transcriptomics 1
- Metabolism, Diabetes, and Cancer 1
- Co-authors
- M. Wax (1 shared paper)Yuval Kluger (3 shared papers)Edoardo G. Giannini (1 shared paper)Elisa Marabotto (1 shared paper)Rachel J. Perry (1 shared paper)Maria Corina Plaz Torres (1 shared paper)Mario Strazzabosco (1 shared paper)Xiuyuan Cheng (1 shared paper)
- Journals
- Journal of Applied Probability (1 paper)Proceedings of the National Academy of Sciences (1 paper)Infection Control and Hospital Epidemiology (1 paper)Hepatology (1 paper)IEEE Transactions on Signal Processing (1 paper)
- Partner nations
- United StatesIsraelItaly
In The Last Decade
Ariel Jaffe
6 papers receiving 224 citations
Peers
Comparison fields: 5 of 77
- Signal Processing 28
- Hepatology 12
- Computational Mathematics 1
- Biophysics 8
- Cancer Research 19
Countries citing papers authored by Ariel Jaffe
This map shows the geographic impact of Ariel Jaffe'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 Ariel Jaffe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ariel Jaffe more than expected).
Fields of papers citing papers by Ariel Jaffe
This network shows the impact of papers produced by Ariel Jaffe. 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 Ariel Jaffe. The network helps show where Ariel Jaffe may publish in the future.
Co-authors
The 22 scholars most cited alongside Ariel Jaffe, 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 | 2021 | 74 | |
| 2 | 2022 | 63 | |
| 3 | 2014 | 47 | |
| 4 | 2020 | 29 | |
| 5 | 2017 | 7 | |
| 6 | 2020 | 4 |
About Ariel Jaffe
Ariel Jaffe is a scholar working on Molecular Biology, Clinical Psychology, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Radiation, having authored 6 papers that have together received 224 indexed citations. Recurring topics across this work include Gene expression and cancer classification (1 paper), COVID-19 epidemiological studies (1 paper), Indoor and Outdoor Localization Technologies (1 paper), Liver Disease Diagnosis and Treatment (1 paper), Image and Object Detection Techniques (1 paper), Diabetes Treatment and Management (1 paper), Single-cell and spatial transcriptomics (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Signal Processing (28 citations), Hepatology (12 citations), Computational Mathematics (1 citation), Biophysics (8 citations) and Cancer Research (19 citations). Ariel Jaffe has collaborated with scholars based in United States, Israel and Italy. Frequent co-authors include M. Wax, Yuval Kluger, Edoardo G. Giannini, Elisa Marabotto, Rachel J. Perry, Maria Corina Plaz Torres, Mario Strazzabosco, Xiuyuan Cheng, Richard A. Flavell and Jun Zhao. Their work appears in journals such as Journal of Applied Probability, Proceedings of the National Academy of Sciences, Infection Control and Hospital Epidemiology, Hepatology and IEEE Transactions on Signal Processing.
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.