Eser Sert

981 total citations
30 papers, 683 citations indexed

About

Eser Sert is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Eser Sert has authored 30 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 8 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Artificial Intelligence. Recurrent topics in Eser Sert's work include Brain Tumor Detection and Classification (7 papers), Retinal Imaging and Analysis (6 papers) and Remote-Sensing Image Classification (4 papers). Eser Sert is often cited by papers focused on Brain Tumor Detection and Classification (7 papers), Retinal Imaging and Analysis (6 papers) and Remote-Sensing Image Classification (4 papers). Eser Sert collaborates with scholars based in Türkiye, Poland and Egypt. Eser Sert's co-authors include Fatih Özyurt, Derya Avcı, Engin Avcı, Esin Doğantekin, Akif Doğantekin, Ahmet Alkan, Paweł Pławiak, Ryszard Tadeusiewicz, İbrahım Okumuş and Özal Yıldırım and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and Neural Computing and Applications.

In The Last Decade

Eser Sert

28 papers receiving 639 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eser Sert Türkiye 13 386 356 254 134 66 30 683
Muhammad Irfan Sharif Pakistan 12 497 1.3× 438 1.2× 279 1.1× 193 1.4× 30 0.5× 17 809
Iqbaldeep Kaur India 9 236 0.6× 113 0.3× 134 0.5× 56 0.4× 64 1.0× 27 462
K. Balasamy India 9 265 0.7× 97 0.3× 162 0.6× 177 1.3× 36 0.5× 19 610
Tiejun Yang China 11 223 0.6× 108 0.3× 135 0.5× 111 0.8× 19 0.3× 47 432
Arfan Jaffar Pakistan 13 165 0.4× 115 0.3× 231 0.9× 207 1.5× 31 0.5× 59 590
S. Suganyadevi India 9 204 0.5× 90 0.3× 173 0.7× 176 1.3× 27 0.4× 25 585
Ming-Ni Wu Taiwan 9 302 0.8× 123 0.3× 80 0.3× 42 0.3× 50 0.8× 27 420
Muhammad Asim Saleem China 14 167 0.4× 209 0.6× 154 0.6× 86 0.6× 16 0.2× 39 620
Arnisha Akhter Bangladesh 12 136 0.4× 128 0.4× 416 1.6× 222 1.7× 11 0.2× 19 776
Fung Fung Ting Malaysia 6 228 0.6× 141 0.4× 375 1.5× 248 1.9× 45 0.7× 16 626

Countries citing papers authored by Eser Sert

Since Specialization
Citations

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

Fields of papers citing papers by Eser Sert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eser Sert

This figure shows the co-authorship network connecting the top 25 collaborators of Eser Sert. A scholar is included among the top collaborators of Eser Sert 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 Eser Sert. Eser Sert 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.
Sert, Eser, et al.. (2025). A hybrid deep learning approach combining neutrosophic set theory and multi-axis vision transformer for nutrient deficiency classification in plants. Engineering Applications of Artificial Intelligence. 162. 112705–112705.
2.
Sert, Eser, et al.. (2025). Automatic detection of harmful cyanobacterial genera using deep CNN models and artemisinin optimization. Scientific Reports. 15(1). 33824–33824.
3.
Sert, Eser, et al.. (2024). EO-CNN: Equilibrium Optimization-Based hyperparameter tuning for enhanced pneumonia and COVID-19 detection using AlexNet and DarkNet19. Journal of Applied Biomedicine. 44(3). 635–650. 11 indexed citations
4.
Avcı, Derya, Eser Sert, Fatih Özyurt, & Engin Avcı. (2023). MFIF-DWT-CNN: Multi-focus ımage fusion based on discrete wavelet transform with deep convolutional neural network. Multimedia Tools and Applications. 83(4). 10951–10968. 13 indexed citations
5.
Sert, Eser, et al.. (2023). TSA-CNN-AOA: Twitter sentiment analysis using CNN optimized via arithmetic optimization algorithm. Neural Computing and Applications. 35(14). 10311–10328. 27 indexed citations
6.
Sert, Eser, et al.. (2022). Hurricane-Faster R-CNN-JS: Hurricane detection with faster R-CNN using artificial Jellyfish Search (JS) optimizer. Multimedia Tools and Applications. 81(26). 37981–37999. 6 indexed citations
7.
Sert, Eser, et al.. (2022). COVID-CCD-Net: COVID-19 and colon cancer diagnosis system with optimized CNN hyperparameters using gradient-based optimizer. Medical & Biological Engineering & Computing. 60(6). 1595–1612. 18 indexed citations
8.
Avcı, Derya, Eser Sert, Esin Doğantekin, et al.. (2022). A new super resolution Faster R-CNN model based detection and classification of urine sediments. Journal of Applied Biomedicine. 43(1). 58–68. 19 indexed citations
9.
Sert, Eser. (2021). A deep learning based approach for the detection of diseases in pepper and potato leaves. ANADOLU JOURNAL OF AGRICULTURAL SCIENCES. 167–178. 21 indexed citations
10.
Kaya, Ertuğrul & Eser Sert. (2020). A new 3D segmentation approach using extreme learning machine algorithm and morphological operations. Computers & Electrical Engineering. 84. 106638–106638. 2 indexed citations
11.
Özyurt, Fatih, Eser Sert, & Derya Avcı. (2019). An expert system for brain tumor detection: Fuzzy C-means with super resolution and convolutional neural network with extreme learning machine. Medical Hypotheses. 134. 109433–109433. 149 indexed citations
12.
Özyurt, Fatih, Eser Sert, Engin Avcı, & Esin Doğantekin. (2019). Brain tumor detection based on Convolutional Neural Network with neutrosophic expert maximum fuzzy sure entropy. Measurement. 147. 106830–106830. 185 indexed citations
13.
Sert, Eser, Fatih Özyurt, & Akif Doğantekin. (2019). A new approach for brain tumor diagnosis system: Single image super resolution based maximum fuzzy entropy segmentation and convolutional neural network. Medical Hypotheses. 133. 109413–109413. 71 indexed citations
14.
Sert, Eser & Ahmet Alkan. (2018). Image Edge Detection Based on Neutrosophic Set Approach Combined with Chan–Vese Algorithm. International Journal of Pattern Recognition and Artificial Intelligence. 33(3). 1954008–1954008. 12 indexed citations
15.
Sert, Eser & Derya Avcı. (2018). Brain tumor segmentation using neutrosophic expert maximum fuzzy-sure entropy and other approaches. Biomedical Signal Processing and Control. 47. 276–287. 35 indexed citations
16.
Sert, Eser & Derya Avcı. (2018). A new edge detection approach via neutrosophy based on maximum norm entropy. Expert Systems with Applications. 115. 499–511. 27 indexed citations
17.
Sert, Eser. (2017). A new modified neutrosophic set segmentation approach. Computers & Electrical Engineering. 65. 576–592. 9 indexed citations
18.
Sert, Eser, et al.. (2017). Support Vector Machine working on FPGA and the segmentation method of brain MR screening. 4(3). 120–126. 1 indexed citations
19.
Sert, Eser, et al.. (2016). GÖRÜNTÜ İŞLEME TEKNİKLERİ ile ŞEFTALİ ve ELMA SINIFLANDIRMA. DergiPark (Istanbul University). 3 indexed citations
20.
Yılmaz, Ahmet Serdar, et al.. (2015). Fotovoltaik Kaynakların DA/AA Eviriciler ile Mikroşebekeye Entegrasyonundaki Problemlerin İncelenmesi. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi. 18(2). 41–41. 2 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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