Mehmet Gönen
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 1%
- Molecular Biology top 10%
- Computational Theory and Mathematics top 1%
- Infectious Diseases top 10%
- Co-authors
- Ethem AlpaydınAdam A. MargolinÖnder ErgönülSamuel KaskiSemra ÜlküDevri̇m BalköseRam B. GuptaFüsun Can
- Topics
- Gene expression and cancer classification (16 papers)Face and Expression Recognition (12 papers)Machine Learning in Bioinformatics (9 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputational Theory and MathematicsArtificial Intelligence
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- TürkiyeUnited StatesFinland
In The Last Decade
Mehmet Gönen
89 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Artificial Intelligence 924
- Computer Vision and Pattern Recognition 902
- Molecular Biology 843
- Computational Theory and Mathematics 501
- Infectious Diseases 219
Countries citing papers authored by Mehmet Gönen
This map shows the geographic impact of Mehmet Gönen'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 Mehmet Gönen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mehmet Gönen more than expected).
Fields of papers citing papers by Mehmet Gönen
This network shows the impact of papers produced by Mehmet Gönen. 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 Mehmet Gönen. The network helps show where Mehmet Gönen may publish in the future.
Co-authorship network of co-authors of Mehmet Gönen
This figure shows the co-authorship network connecting the top 25 collaborators of Mehmet Gönen. A scholar is included among the top collaborators of Mehmet Gönen 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 Mehmet Gönen. Mehmet Gönen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 16 | |
| 8 | 8 | |
| 9 | 16 | |
| 10 | Automated Diagnosis of Keratoconus from Corneal Topography | 1 |
| 11 | 5 | |
| 12 | 10 | |
| 13 | 6 | |
| 14 | 10 | |
| 15 | 46 | |
| 16 | 9 | |
| 17 | 28 | |
| 18 | 16 | |
| 19 | Localized Data Fusion for Kernel k-Means Clustering with Application to Cancer Biology | 108 |
| 20 | Multiple Kernel Learning Algorithmsbreakdown → | 1156 |
About Mehmet Gönen
Mehmet Gönen is a scholar working on Molecular Medicine, Endocrinology and Computer Vision and Pattern Recognition, having authored 91 papers that have together received 3.2k indexed citations. Recurring topics across this work include Gene expression and cancer classification (16 papers), Face and Expression Recognition (12 papers) and Machine Learning in Bioinformatics (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (902 citations), Computational Theory and Mathematics (501 citations) and Artificial Intelligence (924 citations). Mehmet Gönen has collaborated with scholars based in Türkiye, United States and Finland. Frequent co-authors include Ethem Alpaydın, Adam A. Margolin, Önder Ergönül, Samuel Kaski, Semra Ülkü, Devri̇m Balköse, Ram B. Gupta, Füsun Can, Emmanuel Nyankson and Fikret İnal. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.
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.