İsmail Öztel

591 total citations · 1 hit paper
17 papers, 392 citations indexed

About

İsmail Öztel is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Biophysics. According to data from OpenAlex, İsmail Öztel has authored 17 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 4 papers in Experimental and Cognitive Psychology and 3 papers in Biophysics. Recurrent topics in İsmail Öztel's work include Face recognition and analysis (6 papers), Face and Expression Recognition (5 papers) and Emotion and Mood Recognition (4 papers). İsmail Öztel is often cited by papers focused on Face recognition and analysis (6 papers), Face and Expression Recognition (5 papers) and Emotion and Mood Recognition (4 papers). İsmail Öztel collaborates with scholars based in Türkiye and United States. İsmail Öztel's co-authors include Gözde Yolcu, Cemil Öz, Filiz Bunyak, Teresa E. Lever, Kannappan Palaniappan, Tommi White, Ilker Ersoy and Devrim Akgün and has published in prestigious journals such as SHILAP Revista de lepidopterología, Multimedia Tools and Applications and Journal of Medical Systems.

In The Last Decade

İsmail Öztel

16 papers receiving 381 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Human Monkeypox Classification from Skin Lesion Images with Deep Pre-trained Network using Mobile Application

2022 133 citations İsmail Öztel, Gözde Yolcu et al. Journal of Medical Systems profile →

Peers

İsmail Öztel

CVPR

VIROL

ECP

EPIDE

MB

Gözde Yolcu Türkiye

Javier Civit-Masot Spain

Michael K. Keutmann United States

Sumaira Kausar Pakistan

Markus Wenzel Germany

Ken Sutton Australia

Quincy Brown United States

Kathrin Heim Germany

Roberto Tedesco Brazil

Hui Ding China

Gözde Yolcu Türkiye

İsmail Öztel

142 ×1.0

CVPR

140 ×1.1

VIROL

93 ×1.0

ECP

88 ×1.1

EPIDE

72 ×1.1

MB

Citations per year, relative to İsmail Öztel İsmail Öztel (= 1×) peers Gözde Yolcu

Countries citing papers authored by İsmail Öztel

Since Specialization

Citations

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

Fields of papers citing papers by İsmail Öztel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of İsmail Öztel

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

All Works

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17 of 17 papers shown

1.

Öztel, İsmail. (2025). Ensemble Deep Learning Approach for Brain Tumor Classification Using Vision Transformer and Convolutional Neural Network. Advanced Intelligent Systems. 7(10). 1 indexed citations

2.

Öztel, İsmail, et al.. (2023). Deep Learning‐Based Skin Diseases Classification using Smartphones. SHILAP Revista de lepidopterología. 5(12). 23 indexed citations

3.

Öztel, İsmail, et al.. (2022). Human Monkeypox Classification from Skin Lesion Images with Deep Pre-trained Network using Mobile Application. Journal of Medical Systems. 46(11). 79–79. 133 indexed citations breakdown →

4.

Öztel, İsmail, Gözde Yolcu, & Devrim Akgün. (2022). A hybrid LBP-DCNN based feature extraction method in YOLO: An application for masked face and social distance detection. Multimedia Tools and Applications. 82(1). 1565–1583. 8 indexed citations

5.

Yolcu, Gözde & İsmail Öztel. (2021). A Multi-task Deep Learning System for Face Detection and Age Group Classification for Masked Faces. SHILAP Revista de lepidopterología. 25(6). 1394–1407. 1 indexed citations

6.

Öztel, İsmail, et al.. (2021). Developing a Message Broadcasting System for Natural Disasters. Uluslararası mühendislik araştırma ve geliştirme dergisi. 13(1). 13–21. 3 indexed citations

7.

Öztel, İsmail. (2020). Human Detection System using Different Depths of the Resnet-50 in Faster R-CNN. 1–5. 4 indexed citations

8.

Yolcu, Gözde, İsmail Öztel, Cemil Öz, et al.. (2019). Facial expression recognition for monitoring neurological disorders based on convolutional neural network. Multimedia Tools and Applications. 78(22). 31581–31603. 67 indexed citations

9.

Yolcu, Gözde, et al.. (2019). Deep learning-based face analysis system for monitoring customer interest. Journal of Ambient Intelligence and Humanized Computing. 11(1). 237–248. 50 indexed citations

10.

Öztel, İsmail, Gözde Yolcu, & Cemil Öz. (2019). Performance Comparison of Transfer Learning and Training from Scratch Approaches for Deep Facial Expression Recognition. 1–6. 19 indexed citations

11.

Öztel, İsmail & Cemil Öz. (2019). Traffic Education for Inexperienced Drivers with Virtual Driving Simulator. SHILAP Revista de lepidopterología. 2(2). 82–88.

12.

Öztel, İsmail, Gözde Yolcu, Ilker Ersoy, Tommi White, & Filiz Bunyak. (2018). Deep learning approaches in electron microscopy imaging for mitochondria segmentation. International Journal of Data Mining and Bioinformatics. 21(2). 91–91. 7 indexed citations

13.

Öztel, İsmail, et al.. (2018). iFER: facial expression recognition using automatically selected geometric eye and eyebrow features. Journal of Electronic Imaging. 27(2). 1–1. 7 indexed citations

14.

Bunyak, Filiz, Ilker Ersoy, Tommi White, İsmail Öztel, & Gözde Yolcu. (2018). Deep learning approaches in electron microscopy imaging for mitochondria segmentation. International Journal of Data Mining and Bioinformatics. 21(2). 91–91. 3 indexed citations

15.

Öztel, İsmail, Gözde Yolcu, Ilker Ersoy, Tommi White, & Filiz Bunyak. (2017). Mitochondria segmentation in electron microscopy volumes using deep convolutional neural network. 1195–1200. 30 indexed citations

16.

Yolcu, Gözde, İsmail Öztel, Cemil Öz, et al.. (2017). Deep learning-based facial expression recognition for monitoring neurological disorders. 1652–1657. 32 indexed citations

17.

Öztel, İsmail & Cemil Öz. (2015). Developing a Virtual Driving simulator for Educational Puposes. Balkan Journal of Electrical and Computer Engineering. 2(2). 51–54. 4 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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