Barbaros S. Erdal

1.3k total citations
30 papers, 603 citations indexed

About

Barbaros S. Erdal is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Barbaros S. Erdal has authored 30 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Pulmonary and Respiratory Medicine and 9 papers in Artificial Intelligence. Recurrent topics in Barbaros S. Erdal's 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). Barbaros S. Erdal is often cited by papers focused on AI in cancer detection (8 papers), Digital Radiography and Breast Imaging (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Barbaros S. Erdal collaborates with scholars based in United States, Germany and France. Barbaros S. Erdal's co-authors include Luciano M. Prevedello, Mutlu Demirer, Vedat Yildiz, Richard White, Kevin J. Little, John Ryu, Elliott D. Crouser, Richard D. White, M Julián and Bradley D. Clymer and has published in prestigious journals such as PLoS ONE, Scientific Reports and Radiology.

In The Last Decade

Barbaros S. Erdal

28 papers receiving 594 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Barbaros S. Erdal United States 13 281 188 127 113 111 30 603
Wenzhi Lv China 15 541 1.9× 114 0.6× 153 1.2× 106 0.9× 82 0.7× 43 745
Andrea Ponsiglione Italy 19 635 2.3× 403 2.1× 73 0.6× 182 1.6× 85 0.8× 77 1.1k
Guangyao Wu Netherlands 13 556 2.0× 298 1.6× 82 0.6× 191 1.7× 92 0.8× 22 766
Hong Kyu Kim South Korea 16 439 1.6× 167 0.9× 73 0.6× 59 0.5× 30 0.3× 44 858
Christopher P. Bridge United States 14 205 0.7× 64 0.3× 114 0.9× 80 0.7× 64 0.6× 43 593
Zhenyu Shu China 18 550 2.0× 117 0.6× 87 0.7× 156 1.4× 33 0.3× 50 692
Joshy Cyriac Switzerland 11 496 1.8× 131 0.7× 95 0.7× 271 2.4× 132 1.2× 22 789
Antonella Balestrieri Italy 15 233 0.8× 209 1.1× 103 0.8× 82 0.7× 26 0.2× 49 798
Aydın Demircioğlu Germany 16 545 1.9× 186 1.0× 132 1.0× 168 1.5× 64 0.6× 53 861
Hiroyuki Sugimori Japan 14 356 1.3× 126 0.7× 55 0.4× 147 1.3× 27 0.2× 93 767

Countries citing papers authored by Barbaros S. Erdal

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
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Lin, Michelle, Mutlu Demirer, Erik H. Middlebrooks, et al.. (2023). Greater burden of white matter lesions and silent infarcts ipsilateral to carotid stenosis. Journal of Stroke and Cerebrovascular Diseases. 32(9). 107287–107287. 2 indexed citations
3.
Gupta, Vikash, Barbaros S. Erdal, Richard D. White, et al.. (2023). Breast-Density Semantic Segmentation with Probability Scaling for BI-RADS Assessment using DeepLabV3. 1–6. 1 indexed citations
4.
Rockenbach, Marcio Aloísio Bezerra Cavalcanti, Varun Buch, Vikash Gupta, et al.. (2022). Automatic detection of decreased ejection fraction and left ventricular hypertrophy on 4D cardiac CTA: Use of artificial intelligence with transfer learning to facilitate multi-site operations. Intelligence-Based Medicine. 6. 100051–100051.
5.
Crouser, Elliott D., Rachel M. Smith, Daniel A. Culver, et al.. (2021). A Pilot Randomized Trial of Transdermal Nicotine for Pulmonary Sarcoidosis. CHEST Journal. 160(4). 1340–1349. 20 indexed citations
6.
Culver, Daniel A., et al.. (2021). A Pilot Randomized Trial of Transdermal Nicotine for Pulmonary Sarcoidosis. A1329–A1329. 1 indexed citations
7.
Erdal, Barbaros S., Mutlu Demirer, Kevin J. Little, et al.. (2020). Are quantitative features of lung nodules reproducible at different CT acquisition and reconstruction parameters?. PLoS ONE. 15(10). e0240184–e0240184. 17 indexed citations
8.
Yu, Joseph S., et al.. (2020). The broken circle method: a novel technique that enhances detection of Hill–Sachs lesions on internal rotation shoulder radiographs. Clinical Radiology. 76(2). 158.e1–158.e12. 2 indexed citations
9.
Nguyen, Xuan V., Sema Candemir, Barbaros S. Erdal, Richard White, & Luciano M. Prevedello. (2020). Predicting Mental Decline Rates in Mild Cognitive Impairment From Baseline MRI Volumetric Data. Alzheimer Disease & Associated Disorders. 35(1). 1–7. 6 indexed citations
10.
Demirer, Mutlu, Sema Candemir, Vikash Gupta, et al.. (2019). A User Interface for Optimizing Radiologist Engagement in Image Data Curation for Artificial Intelligence. Radiology Artificial Intelligence. 1(6). e180095–e180095. 24 indexed citations
11.
Yu, Joseph S., Barbaros S. Erdal, Mutlu Demirer, et al.. (2019). Detection and localisation of hip fractures on anteroposterior radiographs with artificial intelligence: proof of concept. Clinical Radiology. 75(3). 237.e1–237.e9. 50 indexed citations
12.
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Erdal, Barbaros S., Luciano M. Prevedello, Mutlu Demirer, et al.. (2017). Radiology and Enterprise Medical Imaging Extensions (REMIX). Journal of Digital Imaging. 31(1). 91–106. 9 indexed citations
14.
Hawley, Jeffrey, et al.. (2017). Diagnostic Accuracy of Digital Breast Tomosynthesis in the Evaluation of Palpable Breast Abnormalities. Academic Radiology. 25(3). 297–304. 6 indexed citations
15.
Prevedello, Luciano M., Barbaros S. Erdal, John Ryu, et al.. (2017). Automated Critical Test Findings Identification and Online Notification System Using Artificial Intelligence in Imaging. Radiology. 285(3). 923–931. 180 indexed citations
16.
Eubank, Timothy D., Sashwati Roy, Barbaros S. Erdal, et al.. (2017). Gingival Perfusion and Tissue Biomarkers During Early Healing of Postextraction Regenerative Procedures: A Prospective Case Series. Journal of Periodontology. 88(11). 1163–1172. 15 indexed citations
17.
18.
Hawley, Jeffrey, et al.. (2016). Influences of Radiology Trainees on Screening Mammography Interpretation. Journal of the American College of Radiology. 13(5). 554–561. 9 indexed citations
19.
Erdal, Barbaros S., Bradley D. Clymer, Vedat Yildiz, M Julián, & Elliott D. Crouser. (2012). Unexpectedly high prevalence of sarcoidosis in a representative U.S. Metropolitan population. Respiratory Medicine. 106(6). 893–899. 64 indexed citations
20.
Erdal, Barbaros S., Elliott D. Crouser, Vedat Yildiz, et al.. (2012). Quantitative Computerized Two-Point Correlation Analysis of Lung CT Scans Correlates With Pulmonary Function in Pulmonary Sarcoidosis. CHEST Journal. 142(6). 1589–1597. 12 indexed citations

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.

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