Mehmet Gönen
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- Face and Expression Recognition 12
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- Computational Drug Discovery Methods 5
- Artificial Intelligence top 1%
- Neural Networks and Applications 5
- Computational Mathematics top 10%
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria 7
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- Gene expression and cancer classification 16
- Machine Learning in Bioinformatics 9
- Bioinformatics and Genomic Networks 9
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- Cancer-related molecular mechanisms research 5
- Co-authors
- Ethem AlpaydınAdam A. MargolinÖnder ErgönülSamuel KaskiSemra ÜlküDevri̇m BalköseRam B. GuptaFüsun Can
- Cited by
- Computer Vision and Pattern RecognitionComputational Theory and MathematicsArtificial Intelligence
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Communications (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- TürkiyeUnited StatesFinland
In The Last Decade
Mehmet Gönen
89 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Computer Vision and Pattern Recognition 902
- Computational Theory and Mathematics 501
- Artificial Intelligence 924
- Computational Mathematics 16
- Molecular Medicine 119
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
The 25 scholars most cited alongside Mehmet Gönen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2022 | 1 | |
| 6 | 2022 | 2 | |
| 7 | 2022 | 16 | |
| 8 | 2021 | 8 | |
| 9 | 2021 | 16 | |
| 10 | Automated Diagnosis of Keratoconus from Corneal Topography | 2021 | 1 |
| 11 | 2021 | 5 | |
| 12 | 2021 | 10 | |
| 13 | 2021 | 6 | |
| 14 | 2020 | 10 | |
| 15 | 2019 | 46 | |
| 16 | 2019 | 9 | |
| 17 | 2019 | 28 | |
| 18 | 2018 | 16 | |
| 19 | Localized Data Fusion for Kernel k-Means Clustering with Application to Cancer Biology | 2014 | 108 |
| 20 | Multiple Kernel Learning Algorithmsbreakdown → | 2011 | 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), Machine Learning in Bioinformatics (9 papers), Bioinformatics and Genomic Networks (9 papers), Antibiotic Resistance in Bacteria (7 papers), Computational Drug Discovery Methods (5 papers), Neural Networks and Applications (5 papers) and Cancer-related molecular mechanisms research (5 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.