Berk B. Özmen

2.2k total citations
26 papers, 79 citations indexed

About

Berk B. Özmen is a scholar working on Health Informatics, Surgery and Oncology. According to data from OpenAlex, Berk B. Özmen has authored 26 papers receiving a total of 79 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Health Informatics, 10 papers in Surgery and 5 papers in Oncology. Recurrent topics in Berk B. Özmen's work include Artificial Intelligence in Healthcare and Education (13 papers), Lymphatic System and Diseases (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Berk B. Özmen is often cited by papers focused on Artificial Intelligence in Healthcare and Education (13 papers), Lymphatic System and Diseases (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Berk B. Özmen collaborates with scholars based in United States, Türkiye and United Kingdom. Berk B. Özmen's co-authors include Graham S. Schwarz, Murat Şakir Ekşi̇, Ayça Erşen Danyeli, Abuzer Güngör, İbrahim Berber, Emel Ece Özcan‐Ekşi, Koray Özduman, Piyush Mathur, M. Necmettin Pamir and Dinesh Kumar Singh and has published in prestigious journals such as Anesthesia & Analgesia, The Spine Journal and Annals of Plastic Surgery.

In The Last Decade

Berk B. Özmen

18 papers receiving 79 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Berk B. Özmen United States 6 40 27 22 18 12 26 79
Luca Scarcia Italy 6 16 0.4× 46 1.7× 36 1.6× 13 1.1× 18 93
Jakub Soršák Slovakia 2 11 0.3× 17 0.6× 32 1.5× 5 0.3× 1 0.1× 3 62
Akinola Akinmade Nigeria 5 32 0.8× 16 0.6× 7 0.3× 6 0.5× 9 53
Luca Guzzetti Italy 5 60 1.5× 13 0.5× 7 0.3× 7 0.6× 18 84
Marie E. Semple United States 5 49 1.2× 30 1.1× 12 0.5× 2 0.1× 1 0.1× 6 93
Khalil Anchouche Canada 4 42 1.1× 30 1.1× 5 0.2× 2 0.2× 10 85
Kazunobu Kida Japan 7 184 4.6× 37 1.4× 14 0.6× 81 6.8× 12 189
Scott Regan United Kingdom 6 11 0.3× 15 0.6× 13 0.6× 5 0.4× 9 63
László Ablonczy Hungary 7 37 0.9× 12 0.4× 4 0.2× 1 0.1× 20 89

Countries citing papers authored by Berk B. Özmen

Since Specialization
Citations

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

Fields of papers citing papers by Berk B. Özmen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Berk B. Özmen. 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 Berk B. Özmen. The network helps show where Berk B. Özmen may publish in the future.

Co-authorship network of co-authors of Berk B. Özmen

This figure shows the co-authorship network connecting the top 25 collaborators of Berk B. Özmen. A scholar is included among the top collaborators of Berk B. Özmen 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 Berk B. Özmen. Berk B. Özmen 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.
Özmen, Berk B., et al.. (2026). Ethical and Regulatory Considerations for Artificial Intelligence Adoption in Craniofacial Surgery. Journal of Craniofacial Surgery. 37(3/4). 862–867.
2.
Özmen, Berk B.. (2025). Navigating FDA Regulations for the Development of Artificial Intelligence Technologies in Plastic Surgery. Aesthetic Surgery Journal. 45(8). 865–868. 5 indexed citations
4.
Özmen, Berk B., et al.. (2025). Artificial intelligence prediction model for readmission after DIEP flap breast reconstruction based on NSQIP data. Journal of Plastic Reconstructive & Aesthetic Surgery. 106. 1–8. 3 indexed citations
5.
Özmen, Berk B., İbrahim Berber, Jerry T. Dang, Graham S. Schwarz, & Matthew Kroh. (2025). Development of a Bariatric Surgery Specific Artificial Intelligence Large Language Model: BariatricSurgeryGPT. Surgical Innovation. 1111172034–1111172034.
6.
Özmen, Berk B., İbrahim Berber, Dinesh Kumar Singh, et al.. (2025). MicroRAG : Development of a Novel Artificial Intelligence Retrieval‐Augmented Generation Model for Microsurgery Clinical Decision Support. Microsurgery. 45(8). e70138–e70138.
7.
Özmen, Berk B., et al.. (2025). Extended Reality Technologies for Visualization in DIEP Flap Breast Reconstruction: A Systematic Review. Surgical Innovation. 32(4). 385–391.
8.
Özmen, Berk B. & Piyush Mathur. (2025). Evidence-based artificial intelligence: Implementing retrieval-augmented generation models to enhance clinical decision support in plastic surgery. Journal of Plastic Reconstructive & Aesthetic Surgery. 104. 414–416. 3 indexed citations
9.
Pandey, Sonia, Berk B. Özmen, & Graham S. Schwarz. (2025). Robotic-Assisted Lymphatic Supermicrosurgery for Breast Lymphedema—A Case Report and Literature Review. Annals of Plastic Surgery. 95(1). 105–110.
10.
Özmen, Berk B., et al.. (2025). Development of a novel artificial intelligence clinical decision support tool for hand surgery: HandRAG. Journal of Hand and Microsurgery. 17(4). 100293–100293. 1 indexed citations
11.
Özmen, Berk B., et al.. (2025). Explainable artificial intelligence: enhancing decision-making in plastic surgery. Journal of Plastic Reconstructive & Aesthetic Surgery. 108. 90–92. 1 indexed citations
12.
Özmen, Berk B., İbrahim Berber, & Graham S. Schwarz. (2025). Initial Proof-of-Concept Study for a Plastic Surgery–Specific Artificial Intelligence Large Language Model: PlasticSurgeryGPT. Aesthetic Surgery Journal. 45(8). 860–864. 5 indexed citations
13.
Özmen, Berk B., et al.. (2025). Federated learning: Removing barriers to collaboration in AI-driven plastic surgery research. Journal of Plastic Reconstructive & Aesthetic Surgery. 109. 252–254. 1 indexed citations
14.
Dantas, Márcio, et al.. (2025). Toward Transparent and Standardized Reporting of Artificial Intelligence Models in Anesthesiology. Anesthesia & Analgesia. 141(4). e69–e71.
15.
Özmen, Berk B., Sonia Pandey, & Graham S. Schwarz. (2024). Artificial Intelligence–Based Indocyanine Green Lymphography Pattern Classification for Management of Lymphatic Disease. Plastic & Reconstructive Surgery Global Open. 12(8). e6132–e6132. 1 indexed citations
16.
Özmen, Berk B., et al.. (2024). Future of outcomes research in plastic surgery: Artificial intelligence generated synthetic data and predictive models. Journal of Plastic Reconstructive & Aesthetic Surgery. 94. 38–39. 3 indexed citations
17.
Özmen, Berk B., et al.. (2022). If you look this way, you will see it: cranial shift in adolescent idiopathic scoliosis. Spine Deformity. 11(1). 105–114. 1 indexed citations
19.
Ekşi̇, Murat Şakir, et al.. (2019). Prevalence of Thoracic Scoliosis in Adolescents in Turkey: Analysis of 1065 Chest Radiographs. World Neurosurgery. 135. e527–e540. 9 indexed citations
20.
Ekşi̇, Murat Şakir, Berk B. Özmen, Abuzer Güngör, et al.. (2019). Elderly Patients with Intracranial Meningioma: Surgical Considerations in 228 Patients with a Comprehensive Analysis of the Literature. World Neurosurgery. 132. e350–e365. 26 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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