Behrouz Rostami

718 total citations
16 papers, 392 citations indexed

About

Behrouz Rostami is a scholar working on Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism and Occupational Therapy. According to data from OpenAlex, Behrouz Rostami has authored 16 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Occupational Therapy. Recurrent topics in Behrouz Rostami's work include Diabetic Foot Ulcer Assessment and Management (6 papers), Pressure Ulcer Prevention and Management (5 papers) and Wound Healing and Treatments (5 papers). Behrouz Rostami is often cited by papers focused on Diabetic Foot Ulcer Assessment and Management (6 papers), Pressure Ulcer Prevention and Management (5 papers) and Wound Healing and Treatments (5 papers). Behrouz Rostami collaborates with scholars based in United States, Italy and Israel. Behrouz Rostami's co-authors include Zeyun Yu, DM Anisuzzaman, Jeffrey Niezgoda, Sandeep Gopalakrishnan, Chuanbo Wang, Mrinal Kanti Dhar, Zhiwen Yu, Reza Rostami, Yash Patel and Zachi I. Attia and has published in prestigious journals such as Circulation, Scientific Reports and Computers in Biology and Medicine.

In The Last Decade

Behrouz Rostami

14 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Behrouz Rostami United States 8 180 145 132 69 68 16 392
Chuanbo Wang China 9 170 0.9× 134 0.9× 122 0.9× 51 0.7× 58 0.9× 33 440
DM Anisuzzaman United States 10 200 1.1× 160 1.1× 147 1.1× 84 1.2× 107 1.6× 19 493
Yves Lucas France 10 152 0.8× 118 0.8× 161 1.2× 60 0.9× 61 0.9× 32 337
Mrinal Kanti Dhar United States 7 105 0.6× 72 0.5× 75 0.6× 30 0.4× 48 0.7× 13 270
Sameer Razzaq Oleiwi Iraq 3 123 0.7× 56 0.4× 40 0.3× 76 1.1× 104 1.5× 6 303
Dragoș Manea Romania 8 32 0.2× 34 0.2× 6 0.0× 35 0.5× 176 2.6× 16 367
Jörg Marotz Germany 9 40 0.2× 55 0.4× 10 0.1× 13 0.2× 240 3.5× 12 412
D. Hernandez-Contreras Mexico 8 240 1.3× 32 0.2× 16 0.1× 15 0.2× 244 3.6× 9 325
Cheng-Wei Lin Taiwan 11 177 1.0× 115 0.8× 62 0.5× 8 0.1× 2 0.0× 33 366
Sitthichok Chaichulee Thailand 13 18 0.1× 15 0.1× 17 0.1× 34 0.5× 85 1.3× 34 478

Countries citing papers authored by Behrouz Rostami

Since Specialization
Citations

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

Fields of papers citing papers by Behrouz Rostami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Behrouz Rostami

This figure shows the co-authorship network connecting the top 25 collaborators of Behrouz Rostami. A scholar is included among the top collaborators of Behrouz Rostami 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 Behrouz Rostami. Behrouz Rostami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Malins, Jeffrey G., DM Anisuzzaman, John I. Jackson, et al.. (2025). Snapshot artificial intelligence—determination of ejection fraction from a single frame still image: a multi-institutional, retrospective model development and validation study. The Lancet Digital Health. 7(4). e255–e263. 1 indexed citations
2.
Anisuzzaman, DM, Jeffrey G. Malins, John I. Jackson, et al.. (2025). Leveraging Comprehensive Echo Data to Power Artificial Intelligence Models for Handheld Cardiac Ultrasound. PubMed. 3(1). 100194–100194. 1 indexed citations
3.
4.
Naser, Jwan A., Eunjung Lee, Sorin V. Pislaru, et al.. (2024). Artificial intelligence-based classification of echocardiographic views. European Heart Journal - Digital Health. 5(3). 260–269. 11 indexed citations
5.
Alkhouli, Mohamad, Behrouz Rostami, Zachi I. Attia, Paul A. Friedman, & Rajiv Gulati. (2024). LB-3 | Artificial Intelligence for Extracting Non-COronary Data from Angiography: The AI-ENCODE Study. Journal of the Society for Cardiovascular Angiography & Interventions. 3(5). 101870–101870. 1 indexed citations
6.
7.
Rostami, Behrouz, Kenneth A. Fetterly, Zachi I. Attia, et al.. (2023). Deep Learning to Estimate Left Ventricular Ejection Fraction From Routine Coronary Angiographic Images. JACC Advances. 2(9). 100632–100632. 5 indexed citations
8.
Anisuzzaman, DM, Yash Patel, Behrouz Rostami, et al.. (2022). Multi-modal wound classification using wound image and location by deep neural network. Scientific Reports. 12(1). 20057–20057. 34 indexed citations
9.
Anisuzzaman, DM, Chuanbo Wang, Behrouz Rostami, et al.. (2021). Image-Based Artificial Intelligence in Wound Assessment: A Systematic Review. Advances in Wound Care. 11(12). 687–709. 3 indexed citations
10.
Patel, Yash, Behrouz Rostami, Huawei Chen, et al.. (2021). Barley Variety Identification by iPhone Images and Deep Learning. Journal of the American Society of Brewing Chemists. 80(3). 215–224. 7 indexed citations
11.
Rostami, Behrouz, DM Anisuzzaman, Chuanbo Wang, et al.. (2021). Multiclass wound image classification using an ensemble deep CNN-based classifier. Computers in Biology and Medicine. 134. 104536–104536. 70 indexed citations
12.
Tajbakhsh, Amir, Seyed Mohammad Gheibihayat, Deniz Mortazavi, et al.. (2021). The Effect of Cigarette Smoke Exposure on Efferocytosis in Chronic Obstructive Pulmonary Disease; Molecular Mechanisms and Treatment Opportunities. COPD Journal of Chronic Obstructive Pulmonary Disease. 18(6). 723–736. 9 indexed citations
13.
Wang, Chuanbo, Behrouz Rostami, Jeffrey Niezgoda, Sandeep Gopalakrishnan, & Zeyun Yu. (2021). Foot Ulcer Segmentation Challenge 2021. Zenodo (CERN European Organization for Nuclear Research).
14.
Wang, Chuanbo, DM Anisuzzaman, Mrinal Kanti Dhar, et al.. (2020). Fully automatic wound segmentation with deep convolutional neural networks. Scientific Reports. 10(1). 21897–21897. 143 indexed citations
15.
Anisuzzaman, DM, Chuanbo Wang, Behrouz Rostami, et al.. (2020). Image Based Artificial Intelligence in Wound Assessment: A Systematic Review. arXiv (Cornell University). 68 indexed citations
16.
Rostami, Reza, et al.. (2018). A Survey on Data‐Driven 3D Shape Descriptors. Computer Graphics Forum. 38(1). 356–393. 38 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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2026