Adam Jacobi
Impact in
- Health Informatics top 0.5%
-
- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
-
- COVID-19 diagnosis using AI 9
- Cardiac Imaging and Diagnostics 8
- Co-authors
- Adam BernheimMichael ChungZahi A. FayadMingqian HuangXueyan MeiYang YangShaolin LiKunwei Li
- Journals
- Radiology (3 papers)Journal of Cardiovascular Magnetic Resonance (3 papers)Journal of cardiovascular computed tomography (3 papers)Radiology Artificial Intelligence (2 papers)JACC. Cardiovascular imaging (2 papers)
- Partner nations
- United StatesSpainChina
In The Last Decade
Adam Jacobi
56 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Health Informatics 231
- Radiology, Nuclear Medicine and Imaging 3.1k
- Critical Care and Intensive Care Medicine 660
- Infectious Diseases 2.4k
- Neurology 800
Countries citing papers authored by Adam Jacobi
This map shows the geographic impact of Adam Jacobi'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 Adam Jacobi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adam Jacobi more than expected).
Fields of papers citing papers by Adam Jacobi
This network shows the impact of papers produced by Adam Jacobi. 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 Adam Jacobi. The network helps show where Adam Jacobi may publish in the future.
Co-authors
The 25 scholars most cited alongside Adam Jacobi, 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 | 2024 | 2 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 149 | |
| 5 | 2021 | 12 | |
| 6 | 2021 | 18 | |
| 7 | 2021 | 2 | |
| 8 | 2020 | 41 | |
| 9 | 2020 | 230 | |
| 10 | 2020 | 52 | |
| 11 | 2020 | 3 | |
| 12 | 2020 | 5 | |
| 13 | Abstract 11821: Detection of Uric Acid Crystals in the Vasculature of Patients With Gout Using Dual-Energy Computed Tomography | 2018 | 2 |
| 14 | 2018 | 4 | |
| 15 | 2016 | 3 | |
| 16 | 2015 | 9 | |
| 17 | 2015 | 2 | |
| 18 | 2014 | 1 | |
| 19 | 2014 | 122 | |
| 20 | 2012 | 3 |
About Adam Jacobi
Adam Jacobi is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging, Critical Care and Intensive Care Medicine, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine, having authored 60 papers that have together received 5.1k indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (9 papers), Cardiac Imaging and Diagnostics (8 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (6 papers), COVID-19 Clinical Research Studies (6 papers), Medical Imaging and Pathology Studies (6 papers), Pleural and Pulmonary Diseases (6 papers), Pneumothorax, Barotrauma, Emphysema (5 papers) and Cardiac Structural Anomalies and Repair (5 papers). The work is most often cited by research in Health Informatics (231 citations), Radiology, Nuclear Medicine and Imaging (3.1k citations), Critical Care and Intensive Care Medicine (660 citations), Infectious Diseases (2.4k citations) and Neurology (800 citations). Adam Jacobi has collaborated with scholars based in United States, Spain and China. Frequent co-authors include Adam Bernheim, Michael Chung, Zahi A. Fayad, Mingqian Huang, Xueyan Mei, Yang Yang, Shaolin Li, Kunwei Li, Hong Shan and Ning Zhang. Their work appears in journals such as Radiology, Journal of Cardiovascular Magnetic Resonance, Journal of cardiovascular computed tomography, Radiology Artificial Intelligence and JACC. Cardiovascular imaging.
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.