Muhammed Yıldırım

2.1k total citations · 1 hit paper
86 papers, 1.2k citations indexed

About

Muhammed Yıldırım is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Muhammed Yıldırım has authored 86 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 22 papers in Radiology, Nuclear Medicine and Imaging and 19 papers in Computer Vision and Pattern Recognition. Recurrent topics in Muhammed Yıldırım's work include AI in cancer detection (15 papers), COVID-19 diagnosis using AI (10 papers) and Smart Agriculture and AI (9 papers). Muhammed Yıldırım is often cited by papers focused on AI in cancer detection (15 papers), COVID-19 diagnosis using AI (10 papers) and Smart Agriculture and AI (9 papers). Muhammed Yıldırım collaborates with scholars based in Türkiye, Netherlands and Australia. Muhammed Yıldırım's co-authors include Ahmet Çınar, Yeşim Eroğlu, Emine Cengil, Harun Bingöl, Bilal Alataş, Kadir Yıldırım, Özal Yıldırım, U. Rajendra Acharya, Anastasia Globa and Özgür Göçer and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Energy and Buildings.

In The Last Decade

Muhammed Yıldırım

74 papers receiving 1.2k 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.

Detection of tumors on brain MRI images using the hybrid convolutional neural network architecture

2020 287 citations Ahmet Çınar, Muhammed Yıldırım profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Muhammed Yıldırım Türkiye	18	448	413	411	364	125	86	1.2k
Anas Bilal China	18	302 0.7×	324 0.8×	492 1.2×	131 0.4×	50 0.4×	66	1.1k
Stergios Christodoulidis Switzerland	14	601 1.3×	332 0.8×	841 2.0×	132 0.4×	204 1.6×	22	1.6k
Ebrahim Mohammed Senan Saudi Arabia	21	609 1.4×	328 0.8×	427 1.0×	316 0.9×	91 0.7×	31	1.3k
Amirhossein Kazerouni Iran	7	302 0.7×	419 1.0×	351 0.9×	168 0.5×	133 1.1×	12	912
Yujia Zhou China	15	300 0.7×	315 0.8×	214 0.5×	221 0.6×	196 1.6×	62	1.0k
Veronika Cheplygina Netherlands	14	593 1.3×	464 1.1×	381 0.9×	60 0.2×	111 0.9×	24	1.3k
Gustavo M. Callicó Spain	27	302 0.7×	523 1.3×	844 2.1×	197 0.5×	611 4.9×	166	2.3k
Seyed‐Ahmad Ahmadi Germany	18	180 0.4×	339 0.8×	304 0.7×	220 0.6×	190 1.5×	48	1.2k
Jialin Peng China	16	329 0.7×	457 1.1×	390 0.9×	187 0.5×	181 1.4×	40	1.0k
Samir S. Yadav India	7	330 0.7×	212 0.5×	345 0.8×	102 0.3×	101 0.8×	11	822

Countries citing papers authored by Muhammed Yıldırım

Since Specialization

Citations

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

Fields of papers citing papers by Muhammed Yıldırım

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammed Yıldırım

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yıldırım, Kadir, et al.. (2025). Evaluation of the Risk of Urinary System Stone Recurrence Using Anthropometric Measurements and Lifestyle Behaviors in a Developed Artificial Intelligence Model. Diagnostics. 15(20). 2643–2643.

Yıldırım, Muhammed, et al.. (2025). Detection of Acromion Types in Shoulder Magnetic Resonance Image Examination with Developed Convolutional Neural Network and Textural-Based Content-Based Image Retrieval System. Journal of Clinical Medicine. 14(2). 505–505.

Yıldırım, Muhammed, Anastasia Globa, Özgür Göçer, & Arianna Brambilla. (2025). Digital smell technologies for the built environment: Evaluating human responses to multisensory stimuli in immersive virtual reality. Building and Environment. 271. 112608–112608. 3 indexed citations

Fosas, Daniel, Özgür Göçer, Arianna Brambilla, et al.. (2025). Decarbonising non-domestic buildings at scale − A systematic review. Energy and Buildings. 336. 115587–115587. 1 indexed citations

Yıldırım, Muhammed, et al.. (2024). Automatic detection of knee osteoarthritis grading using artificial intelligence‐based methods. International Journal of Imaging Systems and Technology. 34(2). 5 indexed citations

Tuncer, Seda Arslan, et al.. (2024). YOLOv8-Based System for Nail Capillary Detection on a Single-Board Computer. Diagnostics. 14(17). 1843–1843. 2 indexed citations

Cengil, Emine, et al.. (2023). Diagnosis of Chronic Kidney Disease Based on CNN and LSTM. 2(2). 66–74. 6 indexed citations

Yıldırım, Muhammed, et al.. (2023). Deep Learning Architectures Performance in Plant Leaf Diseases. 1. 180–186. 1 indexed citations

Yıldırım, Muhammed, et al.. (2023). BJWT-EHR: A novel JWT based Blockchain System for Electronic Health Records. DergiPark (Istanbul University). 1 indexed citations

10.

Globa, Anastasia, et al.. (2023). Evaluation of Interactive VR Environments for Architecture. Proceedings of the International Conference on Computer-Aided Architectural Design Research in Asia. 2. 351–360.

11.

Yıldırım, Muhammed, et al.. (2023). CIDO: Chaotically Initialized Dandelion Optimization for Global Optimization. International Journal of Advanced Networking and Applications. 14(6). 5696–5704. 4 indexed citations

12.

Yıldırım, Muhammed, et al.. (2023). Automatic Classification of Particles in the Urine Sediment Test with the Developed Artificial Intelligence-Based Hybrid Model. Diagnostics. 13(7). 1299–1299. 19 indexed citations

13.

Yıldırım, Muhammed, et al.. (2023). Classification of computerized tomography images to diagnose non-small cell lung cancer using a hybrid model. Multimedia Tools and Applications. 82(21). 33379–33400. 8 indexed citations

14.

Keleş, Erol, Hanefi Yıldırım, İrfan Kaygusuz, et al.. (2023). Comparison of Computed Tomography-Based Artificial Intelligence Modeling and Magnetic Resonance Imaging in Diagnosis of Cholesteatoma. The Journal of International Advanced Otology. 19(4). 342–349. 6 indexed citations

15.

Bingöl, Harun, et al.. (2023). Automatic diagnosis of ureteral stone and degree of hydronephrosis with proposed convolutional neural network, RelieF, and gradient‐weighted class activation mapping based deep hybrid model. International Journal of Imaging Systems and Technology. 33(2). 760–769. 6 indexed citations

16.

Yıldırım, Muhammed, et al.. (2022). ORYX‐MRSI: A fully‐automated open‐source software for proton magnetic resonance spectroscopic imaging data analysis. International Journal of Imaging Systems and Technology. 32(4). 1068–1083. 1 indexed citations

17.

Yıldırım, Muhammed, Zeynep Tüfekçıoğlu, Aziz M. Uluğ, et al.. (2022). Identification of metabolic correlates of mild cognitive impairment in Parkinson's disease using magnetic resonance spectroscopic imaging and machine learning. Magnetic Resonance Materials in Physics Biology and Medicine. 35(6). 997–1008. 5 indexed citations

18.

Yıldırım, Muhammed, Ahmet Çınar, & Emine Cengil. (2021). Investigation of Cloud Computing Based Big Data on Machine Learning Algorithms.. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi. 10(2). 670–682. 3 indexed citations

19.

Yıldırım, Muhammed & Ahmet Çınar. (2021). Classification of 40 Different Human Movements with CNN Architectures and Comparison of Their Performance. DergiPark (Istanbul University). 16(1). 103–112. 1 indexed citations

20.

Yıldırım, Muhammed & Ahmet Çınar. (2021). Classification of Skin Cancer Images with Convolutional Neural Network Architectures. DergiPark (Istanbul University). 1 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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