Levent Koç
Impact in
- Information Systems top 0.2%
- Recommender Systems and Techniques
- Artificial Intelligence top 1%
- Advanced Graph Neural Networks
- Topic Modeling
Papers in
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- Anomaly Detection Techniques and Applications 2
- Neural Networks and Applications 1
- Text and Document Classification Technologies 1
-
- Network Security and Intrusion Detection 3
- Co-authors
- Jeremiah Harmsen (1 shared paper)Xiaobing Liu (1 shared paper)Vihan Jain (1 shared paper)Rohan Anil (1 shared paper)Lichan Hong (1 shared paper)Glen Anderson (1 shared paper)Greg S. Corrado (1 shared paper)Heng-Tze Cheng (1 shared paper)
- Journals
- Expert Systems with Applications (1 paper)Marine Pollution Bulletin (1 paper)Journal of Waterway Port Coastal and Ocean Engineering (1 paper)International Journal of Simulation Systems Science & Technology (1 paper)
- Partner nations
- TürkiyeUnited StatesUnited Kingdom
In The Last Decade
Levent Koç
6 papers receiving 2.2k citations
Levent Koç's Hit Papers
Peers
Comparison fields: 5 of 122
- Information Systems 1.5k
- Artificial Intelligence 1.3k
- Computer Vision and Pattern Recognition 611
- Management Science and Operations Research 287
- Computer Networks and Communications 473
Countries citing papers authored by Levent Koç
This map shows the geographic impact of Levent Koç'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 Levent Koç with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Levent Koç more than expected).
Fields of papers citing papers by Levent Koç
This network shows the impact of papers produced by Levent Koç. 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 Levent Koç. The network helps show where Levent Koç may publish in the future.
Co-authors
The 16 scholars most cited alongside Levent Koç, 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 | Wide & Deep Learning for Recommender Systems Hit paper breakdown → | 2016 | 1997 |
| 2 | 2012 | 229 | |
| 3 | 2004 | 48 | |
| 4 | 2003 | 27 | |
| 5 | 2015 | 10 | |
| 6 | 2020 | 2 |
About Levent Koç
Levent Koç is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Civil and Structural Engineering and Computational Theory and Mathematics, having authored 6 papers that have together received 2.3k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (3 papers), Anomaly Detection Techniques and Applications (2 papers), Spam and Phishing Detection (1 paper), Water Quality Monitoring Technologies (1 paper), Neural Networks and Applications (1 paper), Advanced Bandit Algorithms Research (1 paper), Text and Document Classification Technologies (1 paper) and Data Mining Algorithms and Applications (1 paper). The work is most often cited by research in Information Systems (1.5k citations), Artificial Intelligence (1.3k citations), Computer Vision and Pattern Recognition (611 citations), Management Science and Operations Research (287 citations) and Computer Networks and Communications (473 citations). Levent Koç has collaborated with scholars based in Türkiye, United States and United Kingdom. Frequent co-authors include Jeremiah Harmsen, Xiaobing Liu, Vihan Jain, Rohan Anil, Lichan Hong, Glen Anderson, Greg S. Corrado, Heng-Tze Cheng, Hemal Shah and Tushar Chandra. Their work appears in journals such as Expert Systems with Applications, Marine Pollution Bulletin, Journal of Waterway Port Coastal and Ocean Engineering and International Journal of Simulation Systems Science & Technology.
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.