Barbaros S. Erdal
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine
- Artificial Intelligence top 10%
- Biomedical Engineering
- Health Informatics top 1%
- Co-authors
- Luciano M. PrevedelloMutlu DemirerVedat YildizRichard WhiteKevin J. LittleJohn RyuElliott D. CrouserRichard D. White
- Topics
- AI in cancer detection (8 papers)Digital Radiography and Breast Imaging (6 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingPulmonary and Respiratory Medicine
- Journals
- PLoS ONEScientific ReportsRadiology
- Partner nations
- United StatesGermanySaudi Arabia
In The Last Decade
Barbaros S. Erdal
28 papers receiving 594 citations
Peers
Comparison fields: 5 of 93
- Radiology, Nuclear Medicine and Imaging 281
- Pulmonary and Respiratory Medicine 188
- Artificial Intelligence 127
- Biomedical Engineering 113
- Health Informatics 111
Countries citing papers authored by Barbaros S. Erdal
This map shows the geographic impact of Barbaros S. Erdal'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 Barbaros S. Erdal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbaros S. Erdal more than expected).
Fields of papers citing papers by Barbaros S. Erdal
This network shows the impact of papers produced by Barbaros S. Erdal. 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 Barbaros S. Erdal. The network helps show where Barbaros S. Erdal may publish in the future.
Co-authorship network of co-authors of Barbaros S. Erdal
This figure shows the co-authorship network connecting the top 25 collaborators of Barbaros S. Erdal. A scholar is included among the top collaborators of Barbaros S. Erdal 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 Barbaros S. Erdal. Barbaros S. Erdal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 20 | |
| 6 | 17 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 24 | |
| 10 | 17 | |
| 11 | 50 | |
| 12 | 6 | |
| 13 | 9 | |
| 14 | 180 | |
| 15 | 25 | |
| 16 | 9 | |
| 17 | 27 | |
| 18 | 64 | |
| 19 | 12 | |
| 20 | 10 |
About Barbaros S. Erdal
Barbaros S. Erdal is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 30 papers that have together received 603 indexed citations. Recurring topics across this work include AI in cancer detection (8 papers), Digital Radiography and Breast Imaging (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). The work is most often cited by research in Health Informatics (111 citations), Radiology, Nuclear Medicine and Imaging (281 citations) and Pulmonary and Respiratory Medicine (188 citations). Barbaros S. Erdal has collaborated with scholars based in United States, Germany and Saudi Arabia. Frequent co-authors include Luciano M. Prevedello, Mutlu Demirer, Vedat Yildiz, Richard White, Kevin J. Little, John Ryu, Elliott D. Crouser, Richard D. White, Bradley D. Clymer and M Julián. Their work appears in journals such as PLoS ONE, Scientific Reports and Radiology.
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.