Mesut Kaya
Impact in
- Otorhinolaryngology top 10%
- Sinusitis and nasal conditions
- Information Systems top 5%
- Recommender Systems and Techniques
Papers in
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- Recommender Systems and Techniques 9
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- Topic Modeling 4
- Advanced Graph Neural Networks 2
- Co-authors
- Derek Bridge (8 shared papers)İsmail Hakkı Toroslu (1 shared paper)Nava Tintarev (1 shared paper)Mehmet Gündüz (6 shared papers)Kadriye Şerife Uğur (5 shared papers)Hanifi Kurtaran (4 shared papers)Elif Dağlı (3 shared papers)Judith Möller (1 shared paper)
In The Last Decade
Mesut Kaya
30 papers receiving 327 citations
Peers
Comparison fields: 5 of 81
- Otorhinolaryngology 25
- Information Systems 117
- Artificial Intelligence 128
- Sensory Systems 16
- Management Science and Operations Research 37
Countries citing papers authored by Mesut Kaya
This map shows the geographic impact of Mesut Kaya'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 Mesut Kaya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mesut Kaya more than expected).
Fields of papers citing papers by Mesut Kaya
This network shows the impact of papers produced by Mesut Kaya. 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 Mesut Kaya. The network helps show where Mesut Kaya may publish in the future.
Co-authors
The 25 scholars most cited alongside Mesut Kaya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 79 | |
| 2 | 2021 | 43 | |
| 3 | 2020 | 34 | |
| 4 | 2017 | 22 | |
| 5 | 2019 | 20 | |
| 6 | 2014 | 17 | |
| 7 | 2016 | 15 | |
| 8 | 2018 | 15 | |
| 9 | 2019 | 13 | |
| 10 | 2017 | 12 | |
| 11 | 2014 | 9 | |
| 12 | 2016 | 8 | |
| 13 | 2017 | 8 | |
| 14 | 2018 | 8 | |
| 15 | 2016 | 7 | |
| 16 | Accurate and Diverse Recommendations Using Item-Based SubProfiles. | 2018 | 6 |
| 17 | 2018 | 4 | |
| 18 | 2019 | 4 | |
| 19 | 2018 | 3 | |
| 20 | Intent-Aware Diversification using Item-Based SubProfiles. | 2017 | 2 |
About Mesut Kaya
Mesut Kaya is a scholar working on Information Systems, Artificial Intelligence, Surgery, Otorhinolaryngology and Pulmonary and Respiratory Medicine, having authored 32 papers that have together received 342 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (9 papers), Topic Modeling (4 papers), Nasal Surgery and Airway Studies (3 papers), Ear Surgery and Otitis Media (2 papers), Olfactory and Sensory Function Studies (2 papers), Employer Branding and e-HRM (2 papers), Advanced Graph Neural Networks (2 papers) and Sinusitis and nasal conditions (2 papers). The work is most often cited by research in Otorhinolaryngology (25 citations), Information Systems (117 citations), Artificial Intelligence (128 citations), Sensory Systems (16 citations) and Management Science and Operations Research (37 citations). Mesut Kaya has collaborated with scholars based in Türkiye, Ireland and Denmark. Frequent co-authors include Derek Bridge, İsmail Hakkı Toroslu, Nava Tintarev, Mehmet Gündüz, Kadriye Şerife Uğur, Hanifi Kurtaran, Elif Dağlı, Judith Möller, Natali Helberger and Daan Odijk. Their work appears in journals such as Clinical and investigative medicine, Journal of the American Academy of Audiology, JAMA Otolaryngology–Head & Neck Surgery, International Forum of Allergy & Rhinology and Journal of Oral Pathology and Medicine.
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.