Seyhan Karaçavuş

616 total citations
49 papers, 425 citations indexed

About

Seyhan Karaçavuş is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Seyhan Karaçavuş has authored 49 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Pulmonary and Respiratory Medicine and 8 papers in Surgery. Recurrent topics in Seyhan Karaçavuş's work include Radiomics and Machine Learning in Medical Imaging (9 papers), Cardiac Imaging and Diagnostics (7 papers) and Medical Imaging Techniques and Applications (6 papers). Seyhan Karaçavuş is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), Cardiac Imaging and Diagnostics (7 papers) and Medical Imaging Techniques and Applications (6 papers). Seyhan Karaçavuş collaborates with scholars based in Türkiye, Finland and United States. Seyhan Karaçavuş's co-authors include Levent Saydam, Mahmut Özkırış, Zeliha Kapusuz Gencer, Aylin Okur, Hasan Erbay, Zeliha Kapusuz, Bülent Yılmaz, Zafer Aydın, Hasan Ekim and Alper Baştürk and has published in prestigious journals such as SHILAP Revista de lepidopterología, The American Journal of Cardiology and IEEE Access.

In The Last Decade

Seyhan Karaçavuş

43 papers receiving 400 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seyhan Karaçavuş Türkiye 11 114 109 105 81 74 49 425
Sandy Patel Australia 11 84 0.7× 77 0.7× 51 0.5× 50 0.6× 38 0.5× 61 549
José Ángel González-García Spain 14 48 0.4× 194 1.8× 170 1.6× 97 1.2× 8 0.1× 79 628
Kariem Sharaf Germany 12 129 1.1× 36 0.3× 120 1.1× 70 0.9× 17 0.2× 27 545
Adrien May Germany 9 69 0.6× 51 0.5× 30 0.3× 47 0.6× 31 0.4× 31 397
Arash Abiri United States 12 24 0.2× 274 2.5× 113 1.1× 44 0.5× 7 0.1× 79 540
Nicolò Cardobi Italy 14 224 2.0× 105 1.0× 16 0.2× 94 1.2× 21 0.3× 43 565
Francesco Mungai Italy 14 220 1.9× 103 0.9× 62 0.6× 126 1.6× 18 0.2× 35 499
Jing Ren China 13 225 2.0× 47 0.4× 34 0.3× 129 1.6× 38 0.5× 46 459
Marianne Abouyared United States 12 52 0.5× 181 1.7× 114 1.1× 96 1.2× 16 0.2× 43 454
Hamza N. Gokozan United States 13 28 0.2× 63 0.6× 41 0.4× 88 1.1× 27 0.4× 29 317

Countries citing papers authored by Seyhan Karaçavuş

Since Specialization
Citations

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

Fields of papers citing papers by Seyhan Karaçavuş

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seyhan Karaçavuş

This figure shows the co-authorship network connecting the top 25 collaborators of Seyhan Karaçavuş. A scholar is included among the top collaborators of Seyhan Karaçavuş 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 Seyhan Karaçavuş. Seyhan Karaçavuş 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.
Karaçavuş, Seyhan. (2024). Artificial Intelligence Applications in Nuclear Cardiology. 10(1). 13–18. 2 indexed citations
2.
Karaçavuş, Seyhan, et al.. (2022). Accuracy of Metabolic Imaging-guided Transthoracic Biopsy in Lung Cancer. Journal of College of Physicians And Surgeons Pakistan. 32(2). 152–156. 2 indexed citations
3.
Karaçavuş, Seyhan, et al.. (2021). Discrimination of Malignant and Benign Breast Masses Using Computer-Aided Diagnosis from Dynamic Contrast-Enhanced Magnetic Resonance Imaging. SHILAP Revista de lepidopterología. 59(3). 190–195. 1 indexed citations
4.
Erbay, Hasan, et al.. (2019). Detection of breast cancer via deep convolution neural networks using MRI images. Multimedia Tools and Applications. 79(21-22). 15555–15573. 60 indexed citations
5.
6.
Erdoğan, Murat, et al.. (2018). Tc-99m MDP Bone SPECT/CT Findings of a Patient Detected with a New Mutation in LEMD3 Gene: A Case of Osteopoikilosis. Molecular Imaging and Radionuclide Therapy. 27(1). 48–51. 1 indexed citations
7.
Karaçavuş, Seyhan, et al.. (2017). Can Laws Be a Potential PET Image Texture Analysis Approach for Evaluation of Tumor Heterogeneity and Histopathological Characteristics in NSCLC?. Journal of Digital Imaging. 31(2). 210–223. 13 indexed citations
8.
9.
Ede, Hüseyin, Seyhan Karaçavuş, Ayşe Yeşim Göçmen, et al.. (2015). Serum copeptin level can be a helpful biomarker in evaluation of myocardial perfusion scintigraphy results. Cardiology Journal. 23(1). 71–77. 3 indexed citations
10.
Karaçavuş, Seyhan, et al.. (2015). Clinical Significance of Lymphoscintigraphy Findings in the Evaluation of Lower Extremity Lymphedema. Molecular Imaging and Radionuclide Therapy. 24(2). 80–84. 18 indexed citations
11.
Gündoğdu, Fatma, et al.. (2015). Multiple vertebral metastasis with fluid-fluid level from a pleomorphic lobular breast carcinoma. The Spine Journal. 16(5). e303–e304. 3 indexed citations
12.
Okur, Aylin, et al.. (2014). Relationship between kidney volume and body indexes in the Turkish population determined using ultrasonography. International braz j urol. 40(6). 816–822. 11 indexed citations
13.
Kara, Mustafa, et al.. (2014). Orta Anadolu'da yaşayan gebelerdeki demir-vitamin kullanımı ve bunu etkileyen faktörler. 11(2). 94–97. 1 indexed citations
14.
Şahin, Şafak, et al.. (2014). Mean platelet volume is associated with myocardial perfusion defect in diabetic patients : cardiovascular topic. Cardiovascular journal of South Africa. 25(3). 110–113. 3 indexed citations
15.
Okur, Aylin, Mahmut Özkırış, Zeliha Kapusuz Gencer, et al.. (2013). Is there a relationship between symptoms of patients and tomographic characteristics of styloid process?. Surgical and Radiologic Anatomy. 36(7). 627–632. 21 indexed citations
16.
Gencer, Zeliha Kapusuz, Mahmut Özkırış, Aylin Okur, Seyhan Karaçavuş, & Levent Saydam. (2013). The Possible Associations of Septal Deviation on Mastoid Pneumatization and Chronic Otitis. Otology & Neurotology. 34(6). 1052–1057. 22 indexed citations
17.
Gencer, Zeliha Kapusuz, Mahmut Özkırış, Aylin Okur, Seyhan Karaçavuş, & Levent Saydam. (2013). The effect of nasal septal deviation on maxillary sinus volumes and development of maxillary sinusitis. European Archives of Oto-Rhino-Laryngology. 270(12). 3069–3073. 79 indexed citations
18.
Karaçavuş, Seyhan, et al.. (2012). Yozgat ilinde yaşayan gebelerin sosyoekonomik ve demografik faktörler açısından değerlendirilmesi. Cumhuriyet Tıp Dergisi/Cumhuriyet Üniversitesi Tıp Fakültesi dergisi. 34(2). 158–163. 2 indexed citations
19.
Özkırış, Mahmut, Seyhan Karaçavuş, Zeliha Kapusuz, & Levent Saydam. (2012). Comparison of two different adenoidectomy techniques with special emphasize on postoperative nasal mucociliary clearance rates: Coblation technique vs. cold curettage. International Journal of Pediatric Otorhinolaryngology. 77(3). 389–393. 21 indexed citations
20.
Kula, Mustafa, Seyhan Karaçavuş, Mevlüt Başkol, et al.. (2010). Hepatobiliary function assessed by 99mTc-mebrofenin cholescintigraphy in the evaluation of fibrosis in chronic hepatitis: histopathological correlation. Nuclear Medicine Communications. 31(4). 280–285. 8 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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