Adi Szeskin
Impact in
-
- Radiomics and Machine Learning in Medical Imaging
- Retinal Imaging and Analysis
- Medical Imaging Techniques and Applications
Papers in ⓘ
-
- Radiomics and Machine Learning in Medical Imaging 4
- Retinal Imaging and Analysis 3
-
- Retinal Diseases and Treatments 3
- Co-authors
- Leo Joskowicz (9 shared papers)Jacob Sosna (4 shared papers)Naama Lev‐Cohain (1 shared paper)Refael Vivanti (1 shared paper)Jaime Levy (3 shared papers)Richard J. Lederman (4 shared papers)Iris Eshed (1 shared paper)Arnaldo Mayer (1 shared paper)
- Journals
- Medical Image Analysis (3 papers)International Journal of Computer Assisted Radiology and Surgery (2 papers)European Radiology (1 paper)Translational Vision Science & Technology (1 paper)Flexible and Printed Electronics (1 paper)
- Partner nations
- Israel
In The Last Decade
Adi Szeskin
10 papers receiving 167 citations
Peers
Comparison fields: 5 of 40
- Health Informatics 8
- Radiology, Nuclear Medicine and Imaging 92
- Ophthalmology 28
- Hepatology 14
- Health Information Management 7
Countries citing papers authored by Adi Szeskin
This map shows the geographic impact of Adi Szeskin'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 Adi Szeskin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adi Szeskin more than expected).
Fields of papers citing papers by Adi Szeskin
This network shows the impact of papers produced by Adi Szeskin. 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 Adi Szeskin. The network helps show where Adi Szeskin may publish in the future.
Co-authors
The 19 scholars most cited alongside Adi Szeskin, 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 | 2017 | 55 | |
| 2 | 2021 | 23 | |
| 3 | 2019 | 23 | |
| 4 | 2020 | 23 | |
| 5 | 2022 | 15 | |
| 6 | 2023 | 11 | |
| 7 | 2022 | 11 | |
| 8 | 2017 | 7 | |
| 9 | 2023 | 4 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 0 |
About Adi Szeskin
Adi Szeskin is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology, Artificial Intelligence, Pulmonary and Respiratory Medicine and Biomedical Engineering, having authored 11 papers that have together received 173 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), Retinal Imaging and Analysis (3 papers), AI in cancer detection (3 papers), Retinal Diseases and Treatments (3 papers), Lung Cancer Diagnosis and Treatment (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper), Spine and Intervertebral Disc Pathology (1 paper) and Optical Coherence Tomography Applications (1 paper). The work is most often cited by research in Health Informatics (8 citations), Radiology, Nuclear Medicine and Imaging (92 citations), Ophthalmology (28 citations), Hepatology (14 citations) and Health Information Management (7 citations). Adi Szeskin has collaborated with scholars based in Israel. Frequent co-authors include Leo Joskowicz, Jacob Sosna, Naama Lev‐Cohain, Refael Vivanti, Jaime Levy, Richard J. Lederman, Iris Eshed, Arnaldo Mayer, Yuval Or and Amnon Buxboim. Their work appears in journals such as Medical Image Analysis, International Journal of Computer Assisted Radiology and Surgery, European Radiology, Translational Vision Science & Technology and Flexible and Printed Electronics.
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.