Barbaros S. Erdal

63 total papers · 1.3k total citations
29 papers, 599 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 29 papers receiving a total of 599 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 Switzerland. Barbaros S. Erdal's co-authors include Luciano M. Prevedello, Mutlu Demirer, Vedat Yildiz, Richard White, Kevin J. Little, John Ryu, Elliott D. Crouser, M Julián, Richard D. White and Bradley D. Clymer and has published in prestigious journals such as PLoS ONE, Radiology and CHEST Journal.

In The Last Decade

Barbaros S. Erdal

28 papers receiving 590 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Barbaros S. Erdal	278	188	127	111	109	29	599
Soichiro Miki	319 1.1×	201 1.1×	151 1.2×	90 0.8×	71 0.7×	51	647
Christian Blüthgen	313 1.1×	177 0.9×	35 0.3×	149 1.3×	88 0.8×	38	547
Ross Mitchell	217 0.8×	126 0.7×	46 0.4×	54 0.5×	35 0.3×	27	565
Afsaneh Amirabadi	157 0.6×	96 0.5×	51 0.4×	54 0.5×	66 0.6×	55	584
Walter F. Wiggins	167 0.6×	143 0.8×	51 0.4×	122 1.1×	123 1.1×	43	582
Christopher P. Bridge	203 0.7×	63 0.3×	111 0.9×	76 0.7×	61 0.6×	43	572
Zhenyu Shu	536 1.9×	111 0.6×	85 0.7×	155 1.4×	33 0.3×	50	673
Dharshan Vummidi	217 0.8×	349 1.9×	114 0.9×	25 0.2×	43 0.4×	22	651
Gian Marco Conte	410 1.5×	49 0.3×	89 0.7×	91 0.8×	76 0.7×	35	674
Giancarlo Oliva	251 0.9×	66 0.4×	69 0.5×	89 0.8×	66 0.6×	52	651

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

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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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