Atallah Baydoun
- Radiology, Nuclear Medicine and Imaging top 10%
- Pulmonary and Respiratory Medicine
- Artificial Intelligence
- Radiation top 10%
- Surgery
- Co-authors
- Bryan TraughberRaymond F. MuzicPengjiang QianJoseph MaakaronHoussam HalawiAlì TaherRodney J. EllisKuan‐Hao Su
- Topics
- Radiomics and Machine Learning in Medical Imaging (8 papers)Medical Imaging Techniques and Applications (8 papers)Advanced X-ray and CT Imaging (5 papers)
- Journals
- Scientific ReportsThe American Journal of CardiologyInternational Journal of Radiation Oncology*Biology*Physics
- Partner nations
- United StatesChinaLebanon
In The Last Decade
Atallah Baydoun
26 papers receiving 362 citations
Peers
Comparison fields: 5 of 88
- Radiology, Nuclear Medicine and Imaging 146
- Pulmonary and Respiratory Medicine 79
- Artificial Intelligence 60
- Radiation 55
- Surgery 52
Countries citing papers authored by Atallah Baydoun
This map shows the geographic impact of Atallah Baydoun'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 Atallah Baydoun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atallah Baydoun more than expected).
Fields of papers citing papers by Atallah Baydoun
This network shows the impact of papers produced by Atallah Baydoun. 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 Atallah Baydoun. The network helps show where Atallah Baydoun may publish in the future.
Co-authorship network of co-authors of Atallah Baydoun
This figure shows the co-authorship network connecting the top 25 collaborators of Atallah Baydoun. A scholar is included among the top collaborators of Atallah Baydoun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Atallah Baydoun. Atallah Baydoun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | Effect of Big Data and Analytics on Managing Projects | 8 |
| 6 | 42 | |
| 7 | 6 | |
| 8 | 17 | |
| 9 | 8 | |
| 10 | 6 | |
| 11 | 29 | |
| 12 | 12 | |
| 13 | 47 | |
| 14 | 46 | |
| 15 | 30 | |
| 16 | 14 | |
| 17 | 17 | |
| 18 | 1 | |
| 19 | 39 | |
| 20 | 12 |
About Atallah Baydoun
Atallah Baydoun is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Radiation, having authored 27 papers that have together received 364 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (8 papers), Medical Imaging Techniques and Applications (8 papers) and Advanced X-ray and CT Imaging (5 papers). The work is most often cited by research in Health Informatics (16 citations), Gastroenterology (35 citations) and Radiology, Nuclear Medicine and Imaging (146 citations). Atallah Baydoun has collaborated with scholars based in United States, China and Lebanon. Frequent co-authors include Bryan Traughber, Raymond F. Muzic, Pengjiang Qian, Joseph Maakaron, Houssam Halawi, Alì Taher, Rodney J. Ellis, Kuan‐Hao Su, Kaifa Zhao and Huan Yang. Their work appears in journals such as Scientific Reports, The American Journal of Cardiology and International Journal of Radiation Oncology*Biology*Physics.
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.