M. Alper Selver
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Industrial and Manufacturing Engineering top 5%
- Media Technology top 5%
- Co-authors
- Oğuz DıcleCüneyt GüzelіșOlcay AkayHakan ÖzdemirAli Emre KavurFelix FischerWalter HillenMustafa Seçmen
- Topics
- Medical Image Segmentation Techniques (18 papers)Advanced Neural Network Applications (9 papers)Computer Graphics and Visualization Techniques (8 papers)
In The Last Decade
M. Alper Selver
54 papers receiving 464 citations
Peers
Comparison fields: 5 of 99
- Computer Vision and Pattern Recognition 232
- Radiology, Nuclear Medicine and Imaging 117
- Artificial Intelligence 92
- Industrial and Manufacturing Engineering 82
- Media Technology 66
Countries citing papers authored by M. Alper Selver
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 4 | |
| 10 | 5 | |
| 11 | 0 | |
| 12 | 54 | |
| 13 | 3 | |
| 14 | 5 | |
| 15 | 1 | |
| 16 | 11 | |
| 17 | 1 | |
| 18 | 10 | |
| 19 | 3 | |
| 20 | 2 |
About M. Alper Selver
M. Alper Selver is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 64 papers that have together received 479 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (18 papers), Advanced Neural Network Applications (9 papers) and Computer Graphics and Visualization Techniques (8 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (41 citations), Computer Vision and Pattern Recognition (232 citations) and Industrial and Manufacturing Engineering (82 citations). M. Alper Selver has collaborated with scholars based in Türkiye, Germany and Poland. Frequent co-authors include Oğuz Dıcle, Cüneyt Güzelіș, Olcay Akay, Hakan Özdemir, Ali Emre Kavur, Felix Fischer, Walter Hillen, Mustafa Seçmen, Mustafa Barış and Naciye Sinem Gezer. Their work appears in journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.
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.