M. Alper Selver

1.6k total citations
64 papers, 479 citations indexed

About

M. Alper Selver is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, M. Alper Selver has authored 64 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 20 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Artificial Intelligence. Recurrent topics in M. Alper Selver's work include Medical Image Segmentation Techniques (18 papers), Advanced Neural Network Applications (9 papers) and Computer Graphics and Visualization Techniques (8 papers). M. Alper Selver is often cited by papers focused on Medical Image Segmentation Techniques (18 papers), Advanced Neural Network Applications (9 papers) and Computer Graphics and Visualization Techniques (8 papers). M. Alper Selver collaborates with scholars based in Türkiye, Germany and France. M. Alper Selver's co-authors include Oğuz Dıcle, Cüneyt Güzelіș, Olcay Akay, Hakan Özdemir, Ali Emre Kavur, Mustafa Seçmen, Walter Hillen, Felix Fischer, Mustafa Barış and Savaş Özkan and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

M. Alper Selver

54 papers receiving 464 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Alper Selver Türkiye 12 232 117 92 82 66 64 479
Xinghui Dong China 15 284 1.2× 58 0.5× 91 1.0× 129 1.6× 43 0.7× 63 728
Marius Erdt Singapore 13 258 1.1× 130 1.1× 96 1.0× 225 2.7× 34 0.5× 52 638
Hei Law United States 6 616 2.7× 68 0.6× 152 1.7× 63 0.8× 98 1.5× 10 909
Tong Fang United States 14 234 1.0× 135 1.2× 39 0.4× 58 0.7× 34 0.5× 56 627
Bo Dong China 14 385 1.7× 114 1.0× 155 1.7× 39 0.5× 86 1.3× 50 825
Yoshito Mekada Japan 13 319 1.4× 87 0.7× 68 0.7× 23 0.3× 64 1.0× 64 575
Wei Ke China 12 454 2.0× 109 0.9× 156 1.7× 40 0.5× 57 0.9× 39 659
Ju Jia Zou Australia 15 375 1.6× 42 0.4× 90 1.0× 115 1.4× 48 0.7× 52 693
Changyan Xiao China 13 380 1.6× 90 0.8× 32 0.3× 216 2.6× 115 1.7× 49 629

Countries citing papers authored by M. Alper Selver

Since Specialization
Citations

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

Fields of papers citing papers by M. Alper Selver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Alper Selver. 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 M. Alper Selver. The network helps show where M. Alper Selver may publish in the future.

Co-authorship network of co-authors of M. Alper Selver

This figure shows the co-authorship network connecting the top 25 collaborators of M. Alper Selver. A scholar is included among the top collaborators of M. Alper Selver 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 M. Alper Selver. M. Alper Selver 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.
Selver, M. Alper, et al.. (2025). Detection of Bipolar Disorder and Schizophrenia Employing Bayesian-Optimized Grad-CAM-Driven Deep Learning. Applied Sciences. 15(4). 1717–1717.
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Selver, M. Alper, et al.. (2025). Comparing Auto-Machine Learning and Expert-Designed Models in Diagnosing Vitreomacular Interface Disorders. Journal of Clinical Medicine. 14(8). 2774–2774.
5.
Özkan, Savaş, et al.. (2024). Cross-Modal Learning via Adversarial Loss and Covariate Shift for Enhanced Liver Segmentation. IEEE Transactions on Emerging Topics in Computational Intelligence. 8(4). 2723–2735. 4 indexed citations
6.
Selver, M. Alper, et al.. (2024). End-to-end deep learning patient level classification of affected territory of ischemic stroke patients in DW-MRI. Neuroradiology. 67(1). 137–151. 1 indexed citations
7.
Gönül, Ali Saffet, et al.. (2023). Diverse Task Classification from Activation Patterns of Functional Neuro-Images Using Feature Fusion Module. Sensors. 23(7). 3382–3382. 2 indexed citations
8.
Selver, M. Alper, et al.. (2023). Artificial Intelligence in Stroke Imaging: A Comprehensive Review. Eurasian Journal of Medicine. 55(1). 91–97. 3 indexed citations
9.
Gönül, Ali Saffet, et al.. (2021). Automatic Detection of Emotional Changes Induced by Social Support Loss Using fMRI. IEEE Transactions on Affective Computing. 14(1). 706–717. 4 indexed citations
10.
Güzelіș, Cüneyt, et al.. (2020). Conditional Weighted Ensemble of Transferred Models for Camera Based Onboard Pedestrian Detection in Railway Driver Support Systems. IEEE Transactions on Vehicular Technology. 1–1. 23 indexed citations
11.
Selver, M. Alper, et al.. (2020). Efficacy of Topical Brinzolamide Treatment in Posterior Microphthalmos- Related Macular Cystoid Lesions: A Case Series. Turkish Journal of Ophthalmology. 50(1). 44–49.
12.
Selver, M. Alper, et al.. (2016). Hierarchical Reconstruction and Structural Waveform Analysis for Target Classification. IEEE Transactions on Antennas and Propagation. 64(7). 3120–3129. 15 indexed citations
13.
Selver, M. Alper, et al.. (2015). BATIN BÖLGESİ ORGANLARININ MR GÖRÜNTÜLERİNDEN ÇOK AŞAMALI HİYERARŞİK SINIFLAMA İLE BÖLÜTLENMESİ. Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi. 30(3). 3 indexed citations
14.
Selver, M. Alper. (2015). Design and Configuration of a Medical Imaging Systems Computer Laboratory Syllabus. IEEE Transactions on Education. 59(2). 129–136. 1 indexed citations
15.
Selver, M. Alper & Ali Emre Kavur. (2015). Implementation and use of 3D pairwise geodesic distance fields for seeding abdominal aortic vessels. International Journal of Computer Assisted Radiology and Surgery. 11(5). 803–816. 5 indexed citations
16.
Fischer, Felix, et al.. (2015). Systematic Parameterization, Storage, and Representation of Volumetric DICOM Data. Journal of Medical and Biological Engineering. 35(6). 709–723. 11 indexed citations
17.
Selver, M. Alper, et al.. (2013). Interactive Radial Volume Histogram Stacks for Visualization of Kidneys from CT and MRI.. International Conference in Central Europe on Computer Graphics and Visualization. 233–242. 1 indexed citations
18.
Selver, M. Alper, et al.. (2009). Patient oriented neural networks to overcome challenges of abdominal organ segmentation in CT angiography studies. International Conference on Electrical and Electronics Engineering. 2 indexed citations
19.
Selver, M. Alper & Olcay Akay. (2009). Evaluating clustering methods for classification of marble slabs in an automated industrial marble inspection system. International Conference on Electrical and Electronics Engineering. 3 indexed citations
20.
Selver, M. Alper, et al.. (2008). Patient oriented and robust automatic liver segmentation for pre-evaluation of liver transplantation. Computers in Biology and Medicine. 38(7). 765–784. 47 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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