Habib Rahbar

151 total papers · 3.8k total citations
78 papers, 2.4k citations indexed

About

Habib Rahbar is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Cancer Research. According to data from OpenAlex, Habib Rahbar has authored 78 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Radiology, Nuclear Medicine and Imaging, 22 papers in Pathology and Forensic Medicine and 22 papers in Cancer Research. Recurrent topics in Habib Rahbar's work include MRI in cancer diagnosis (54 papers), Radiomics and Machine Learning in Medical Imaging (34 papers) and Breast Cancer Treatment Studies (22 papers). Habib Rahbar is often cited by papers focused on MRI in cancer diagnosis (54 papers), Radiomics and Machine Learning in Medical Imaging (34 papers) and Breast Cancer Treatment Studies (22 papers). Habib Rahbar collaborates with scholars based in United States, Germany and South Korea. Habib Rahbar's co-authors include Savannah C. Partridge, Constance D. Lehman, Wendy B. DeMartini, Averi E. Kitsch, Sue Peacock, Eric E. Sigmund, Noam Nissan, John R. Scheel, Sana Parsian and Daniel S. Hippe and has published in prestigious journals such as Cell, JAMA and Journal of Clinical Oncology.

In The Last Decade

Habib Rahbar

69 papers receiving 2.4k citations

Hit Papers

Comparison of Abbreviated... 2020 2026 2022 2024 2020 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Habib Rahbar 1.9k 537 445 361 323 78 2.4k
Eun Sook Ko 1.7k 0.9× 609 1.1× 658 1.5× 383 1.1× 363 1.1× 99 2.4k
Paola Clauser 2.5k 1.3× 482 0.9× 385 0.9× 683 1.9× 293 0.9× 124 3.1k
Janice S. Sung 1.4k 0.7× 577 1.1× 602 1.4× 909 2.5× 394 1.2× 63 2.0k
Bong Joo Kang 1.3k 0.7× 609 1.1× 532 1.2× 374 1.0× 352 1.1× 115 2.2k
Matthias Dietzel 2.1k 1.1× 651 1.2× 282 0.6× 183 0.5× 126 0.4× 107 2.4k
Eren D. Yeh 1.0k 0.5× 664 1.2× 739 1.7× 267 0.7× 456 1.4× 57 1.9k
Joo Hee 1.5k 0.8× 897 1.7× 705 1.6× 575 1.6× 411 1.3× 138 2.5k
Eric L. Rosen 1.2k 0.6× 1.1k 2.0× 845 1.9× 353 1.0× 408 1.3× 46 2.3k
Kathy Schilling 1.0k 0.5× 746 1.4× 593 1.3× 432 1.2× 315 1.0× 31 1.9k
Carrie B. Hruska 1.5k 0.8× 280 0.5× 370 0.8× 1.1k 3.0× 452 1.4× 91 2.1k

Countries citing papers authored by Habib Rahbar

Since Specialization
Citations

This map shows the geographic impact of Habib Rahbar'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 Habib Rahbar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Habib Rahbar more than expected).

Fields of papers citing papers by Habib Rahbar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Habib Rahbar. 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 Habib Rahbar. The network helps show where Habib Rahbar may publish in the future.

Co-authorship network of co-authors of Habib Rahbar

This figure shows the co-authorship network connecting the top 25 collaborators of Habib Rahbar. A scholar is included among the top collaborators of Habib Rahbar 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 Habib Rahbar. Habib Rahbar 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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