Şaban Öztürk

97 total papers · 2.8k total citations
63 papers, 1.6k citations indexed

About

Şaban Öztürk is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Şaban Öztürk has authored 63 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 23 papers in Artificial Intelligence and 16 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Şaban Öztürk's work include AI in cancer detection (19 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Image Retrieval and Classification Techniques (10 papers). Şaban Öztürk is often cited by papers focused on AI in cancer detection (19 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Image Retrieval and Classification Techniques (10 papers). Şaban Öztürk collaborates with scholars based in Türkiye, Saudi Arabia and India. Şaban Öztürk's co-authors include Bayram Akdemïr, Umut Özkaya, Tolga Çukur, Kemal Polat, Majid Nour, Mücahid Barstuğan, Hatem F. Sindi, Muhyaddin Rawa, Muzaffer Özbey and Salman Ul Hassan Dar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Information Sciences.

In The Last Decade

Şaban Öztürk

60 papers receiving 1.5k citations

Hit Papers

Adaptive diffusion priors... 2023 2026 2024 2023 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Şaban Öztürk 558 530 448 181 146 63 1.6k
Alper Baştürk 599 1.1× 521 1.0× 301 0.7× 177 1.0× 100 0.7× 58 1.5k
Michał Grochowski 540 1.0× 484 0.9× 337 0.8× 138 0.8× 77 0.5× 36 1.7k
Shuai Wang 651 1.2× 723 1.4× 436 1.0× 109 0.6× 109 0.7× 138 2.1k
Zhaopeng Meng 562 1.0× 783 1.5× 660 1.5× 74 0.4× 143 1.0× 70 1.9k
Parvathaneni Naga Srinivasu 657 1.2× 379 0.7× 267 0.6× 217 1.2× 73 0.5× 56 1.7k
Tao Jiang 692 1.2× 490 0.9× 342 0.8× 92 0.5× 104 0.7× 111 1.5k
Jamal Hussain Shah 543 1.0× 766 1.4× 337 0.8× 129 0.7× 52 0.4× 75 2.1k
Adi Alhudhaif 617 1.1× 501 0.9× 237 0.5× 62 0.3× 218 1.5× 106 1.9k
Dong Zhao 883 1.6× 492 0.9× 236 0.5× 49 0.3× 152 1.0× 50 1.8k
Oh-Young Song 454 0.8× 368 0.7× 162 0.4× 169 0.9× 115 0.8× 71 1.6k

Countries citing papers authored by Şaban Öztürk

Since Specialization
Citations

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

Fields of papers citing papers by Şaban Öztürk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Şaban Öztürk

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