Alper Odabaş

799 total citations
29 papers, 516 citations indexed

About

Alper Odabaş is a scholar working on Oral Surgery, Biomedical Engineering and Algebra and Number Theory. According to data from OpenAlex, Alper Odabaş has authored 29 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oral Surgery, 8 papers in Biomedical Engineering and 6 papers in Algebra and Number Theory. Recurrent topics in Alper Odabaş's work include Dental Radiography and Imaging (10 papers), Medical Imaging and Analysis (7 papers) and Homotopy and Cohomology in Algebraic Topology (5 papers). Alper Odabaş is often cited by papers focused on Dental Radiography and Imaging (10 papers), Medical Imaging and Analysis (7 papers) and Homotopy and Cohomology in Algebraic Topology (5 papers). Alper Odabaş collaborates with scholars based in Türkiye, United States and Poland. Alper Odabaş's co-authors include Özer Çelik, Ahmet Faruk Aslan, Kaan Orhan, İbrahim Şevki Bayrakdar, Elif Bilgir, Yasin Yaşa, Rohan Jagtap, Ingrid Różyło‐Kalinowska, Ahmet Yılmaz and Sevda Kurt‐Bayrakdar and has published in prestigious journals such as BioMed Research International, Acta Odontologica Scandinavica and Optik.

In The Last Decade

Alper Odabaş

22 papers receiving 503 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alper Odabaş Türkiye 10 414 147 142 112 96 29 516
Ahmet Faruk Aslan Türkiye 10 415 1.0× 144 1.0× 143 1.0× 112 1.0× 98 1.0× 18 485
Maxim Gusarev Türkiye 8 354 0.9× 155 1.1× 84 0.6× 101 0.9× 54 0.6× 10 429
Pierre Lahoud Belgium 12 563 1.4× 235 1.6× 73 0.5× 109 1.0× 61 0.6× 23 641
Dmitry Tuzoff Russia 3 318 0.8× 138 0.9× 61 0.4× 92 0.8× 72 0.8× 6 342
Lyudmila Tuzova United States 3 316 0.8× 139 0.9× 59 0.4× 91 0.8× 72 0.8× 6 339
Haihua Zhu China 15 426 1.0× 161 1.1× 151 1.1× 129 1.2× 86 0.9× 40 711
А. С. Краснов Russia 3 284 0.7× 127 0.9× 52 0.4× 83 0.7× 63 0.7× 10 311
Martin Dreher Brazil 3 269 0.6× 98 0.7× 67 0.5× 79 0.7× 68 0.7× 15 329
Mohadeseh Nadimi Iran 4 211 0.5× 73 0.5× 62 0.4× 102 0.9× 75 0.8× 7 335
Eugene Shumilov Türkiye 4 288 0.7× 125 0.9× 66 0.5× 66 0.6× 32 0.3× 4 326

Countries citing papers authored by Alper Odabaş

Since Specialization
Citations

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

Fields of papers citing papers by Alper Odabaş

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alper Odabaş

This figure shows the co-authorship network connecting the top 25 collaborators of Alper Odabaş. A scholar is included among the top collaborators of Alper Odabaş 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 Alper Odabaş. Alper Odabaş 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.
Çelik, Özer, et al.. (2023). Segmentation of acute pulmonary embolism in computed tomography pulmonary angiography using the deep learning method. Tuberkuloz ve Toraks. 71(2). 131–137. 6 indexed citations
2.
Odabaş, Alper, et al.. (2023). Covid-19 Pandemisinde Bankaların Finansal Performanslarının ELECTRE ve TOPSIS Yöntemleriyle Değerlendirilmesi. Alanya Akademik Bakış. 7(2). 865–892. 3 indexed citations
3.
Odabaş, Alper, et al.. (2023). Financial Performance of BIST-Cement Companies Analysis by TOPSIS and ELECTRE Methods. Dumlupınar Üniversitesi Sosyal Bilimler Dergisi. 491–510. 2 indexed citations
4.
Bayrakdar, İbrahim Şevki, Kaan Orhan, Özer Çelik, et al.. (2022). A U‐Net Approach to Apical Lesion Segmentation on Panoramic Radiographs. BioMed Research International. 2022(1). 7035367–7035367. 47 indexed citations
5.
Şaylısoy, Suzan, et al.. (2022). Segmentation of orbital and periorbital lesions detected in orbital magnetic resonance imaging by deep learning method. Polish Journal of Radiology. 87. 516–520.
6.
Bayrakdar, İbrahim Şevki, Kaan Orhan, Özer Çelik, et al.. (2022). A Deep Learning Model for Idiopathic Osteosclerosis Detection on Panoramic Radiographs. Medical Principles and Practice. 31(6). 555–561. 6 indexed citations
7.
Çelik, Özer, İbrahim Şevki Bayrakdar, Elif Bilgir, et al.. (2021). Diagnostic charting of panoramic radiography using deep-learning artificial intelligence system. Oral Radiology. 38(3). 363–369. 62 indexed citations
8.
Bilgir, Elif, İbrahim Şevki Bayrakdar, Özer Çelik, et al.. (2021). An artifıcial ıntelligence approach to automatic tooth detection and numbering in panoramic radiographs. BMC Medical Imaging. 21(1). 124–124. 53 indexed citations
9.
Odabaş, Alper, et al.. (2021). Machine Learning Model to Diagnose Diabetes Type 2 Based on Health Behavior. GAZI UNIVERSITY JOURNAL OF SCIENCE. 35(3). 834–852. 7 indexed citations
10.
Bayrakdar, İbrahim Şevki, Kaan Orhan, Özer Çelik, et al.. (2021). Deep-learning approach for caries detection and segmentation on dental bitewing radiographs. Oral Radiology. 38(4). 468–479. 73 indexed citations
11.
Çelik, Özer, et al.. (2021). Detection of Lung Cancer on Computed Tomography Using Artificial Intelligence Applications Developed by Deep Learning Methods and the Contribution of Deep Learning to the Classification of Lung Carcinoma. Current Medical Imaging Formerly Current Medical Imaging Reviews. 17(9). 1137–1141. 13 indexed citations
12.
Bayrakdar, İbrahim Şevki, Özer Çelik, Elif Bilgir, et al.. (2021). Artificial intelligence system for automatic deciduous tooth detection and numbering in panoramic radiographs. Dentomaxillofacial Radiology. 50(6). 20200172–20200172. 87 indexed citations
13.
Odabaş, Alper, et al.. (2020). Katılım Bankalarının Finansal Performanslarının ELECTRE Yöntemiyle Analizi. Muhasebe ve Finansman Dergisi. 199–224. 11 indexed citations
14.
Odabaş, Alper, et al.. (2019). Relationships between category theory and functional programming with an application. TURKISH JOURNAL OF MATHEMATICS. 43(3). 1566–1577.
15.
Odabaş, Alper, et al.. (2017). Braided regular crossed modules bifibered over regular groupoids. TURKISH JOURNAL OF MATHEMATICS. 41. 1385–1403. 1 indexed citations
16.
Aslan, Ahmet Faruk, et al.. (2017). On groups with action on itself. Georgian Mathematical Journal. 26(3). 459–470.
17.
Odabaş, Alper. (2017). CLASSIFICATION OF FINITE SIMPLICIAL ALGEBRAS. DergiPark (Istanbul University). 18(1). 22–22.
18.
Odabaş, Alper, et al.. (2015). Isoclinism of crossed modules. Journal of Symbolic Computation. 74. 408–424. 3 indexed citations
19.
Odabaş, Alper, et al.. (2015). Computing 2-dimensional algebras: Crossed modules and Cat1-algebras. Journal of Algebra and Its Applications. 15(10). 1650185–1650185. 3 indexed citations
20.
Odabaş, Alper. (2009). s-Weakly Regularity of Group Algebras with GAP.

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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