İsmail KUNDURACIOĞLU

597 total citations · 5 hit papers
12 papers, 302 citations indexed

About

İsmail KUNDURACIOĞLU is a scholar working on Plant Science, Epidemiology and Computer Vision and Pattern Recognition. According to data from OpenAlex, İsmail KUNDURACIOĞLU has authored 12 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Plant Science, 3 papers in Epidemiology and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in İsmail KUNDURACIOĞLU's work include Smart Agriculture and AI (6 papers), Acute Ischemic Stroke Management (3 papers) and Plant Disease Management Techniques (2 papers). İsmail KUNDURACIOĞLU is often cited by papers focused on Smart Agriculture and AI (6 papers), Acute Ischemic Stroke Management (3 papers) and Plant Disease Management Techniques (2 papers). İsmail KUNDURACIOĞLU collaborates with scholars based in Türkiye, Azerbaijan and United States. İsmail KUNDURACIOĞLU's co-authors include İshak Paçal, Mehmet Hakkı Alma, Muhammet Deveci, Radek Martínek and Jan Nedoma and has published in prestigious journals such as Neuroscience, Artificial Intelligence Review and Journal of Plant Diseases and Protection.

In The Last Decade

İsmail KUNDURACIOĞLU

10 papers receiving 298 citations

Hit Papers

5 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.

Advancements in deep learning for accurate classification of grape leaves and diagnosis of grape diseases

2024 68 citations İsmail KUNDURACIOĞLU, İshak Paçal Journal of Plant Diseases and Protection profile →
A systematic review of deep learning techniques for plant diseases

2024 57 citations İshak Paçal, İsmail KUNDURACIOĞLU et al. Artificial Intelligence Review profile →
A systematic review of deep learning in MRI-based cerebral vascular occlusion-based brain diseases

2025 41 citations İsmail KUNDURACIOĞLU, İshak Paçal et al. Neuroscience profile →
U-Net-Based Models for Precise Brain Stroke Segmentation

2025 36 citations İsmail KUNDURACIOĞLU, İshak Paçal et al. DergiPark (Istanbul University) profile →
Deep learning for cerebral vascular occlusion segmentation: A novel ConvNeXtV2 and GRN-integrated U-Net framework for diffusion-weighted imaging

2025 24 citations İsmail KUNDURACIOĞLU, İshak Paçal et al. Neuroscience profile →

Peers

İsmail KUNDURACIOĞLU

PS

AC

AI

RNMI

CVPR

Suyash Bhardwaj India

Aboul Ella Hassenian Egypt

Kyamelia Roy India

Veysel Turk Türkiye

S. M. Jaisakthi India

P. Mirunalini India

Mehdhar S. A. M. Al-Gaashani China

M. Hariharan India

Alfonso Medela Spain

Rafael Namías Argentina

Suyash Bhardwaj India

İsmail KUNDURACIOĞLU

201 ×1.2

PS

103 ×1.4

AC

46 ×0.9

AI

42 ×0.8

RNMI

16 ×0.5

CVPR

Citations per year, relative to İsmail KUNDURACIOĞLU İsmail KUNDURACIOĞLU (= 1×) peers Suyash Bhardwaj

Countries citing papers authored by İsmail KUNDURACIOĞLU

Since Specialization

Citations

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

Fields of papers citing papers by İsmail KUNDURACIOĞLU

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of İsmail KUNDURACIOĞLU

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

All Works

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12 of 12 papers shown

1.

KUNDURACIOĞLU, İsmail, et al.. (2025). U-Net-Based Models for Precise Brain Stroke Segmentation. DergiPark (Istanbul University). 7(1). 50–60. 36 indexed citations breakdown →

2.

KUNDURACIOĞLU, İsmail, et al.. (2025). Deep learning for cerebral vascular occlusion segmentation: A novel ConvNeXtV2 and GRN-integrated U-Net framework for diffusion-weighted imaging. Neuroscience. 574. 42–53. 24 indexed citations breakdown →

3.

KUNDURACIOĞLU, İsmail, et al.. (2025). A systematic review of deep learning in MRI-based cerebral vascular occlusion-based brain diseases. Neuroscience. 568. 76–94. 41 indexed citations breakdown →

4.

KUNDURACIOĞLU, İsmail, et al.. (2025). Signal Transduction System in Neurons. 3(1). 26–35.

5.

Paçal, İshak & İsmail KUNDURACIOĞLU. (2025). ASMM-Net: A Hybrid CNN with Adaptive Scale Modulation for Robust Ischemic Stroke Lesion Segmentation. Iranian Journal of Science and Technology Transactions of Electrical Engineering.

6.

Paçal, İshak, İsmail KUNDURACIOĞLU, Mehmet Hakkı Alma, et al.. (2024). A systematic review of deep learning techniques for plant diseases. Artificial Intelligence Review. 57(11). 57 indexed citations breakdown →

7.

KUNDURACIOĞLU, İsmail. (2024). CNN Models Approaches for Robust Classification of Apple Diseases. 1. 235–251. 14 indexed citations

8.

KUNDURACIOĞLU, İsmail & İshak Paçal. (2024). Advancements in deep learning for accurate classification of grape leaves and diagnosis of grape diseases. Journal of Plant Diseases and Protection. 131(3). 1061–1080. 68 indexed citations breakdown →

9.

KUNDURACIOĞLU, İsmail & İshak Paçal. (2024). Deep Learning-Based Disease Detection in Sugarcane Leaves: Evaluating EfficientNet Models. 2(1). 321–235. 22 indexed citations

10.

Paçal, İshak & İsmail KUNDURACIOĞLU. (2024). Data-Efficient Vision Transformer Models for Robust Classification of Sugarcane. 2(1). 258–271. 18 indexed citations

11.

KUNDURACIOĞLU, İsmail. (2024). Utilizing ResNet Architectures for Identification of Tomato Diseases. 1. 104–119. 15 indexed citations

12.

KUNDURACIOĞLU, İsmail. (2018). Examining the Interface of Lego Mindstorms Ev3 Robot Programming. Journal of Educational Technology and Online Learning. 1(1). 28–46. 7 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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