Alper Bilge
Impact in
- Information Systems top 0.5%
- Recommender Systems and Techniques
- Spam and Phishing Detection
- Artificial Intelligence top 2%
- Privacy-Preserving Technologies in Data
- Advanced Graph Neural Networks
- Sentiment Analysis and Opinion Mining
Papers in
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- Recommender Systems and Techniques 36
-
- Privacy-Preserving Technologies in Data 14
- Co-authors
- Cihan Kaleli (9 shared papers)Hüseyin Polat (12 shared papers)Ali Yürekli (3 shared papers)Zeynep Batmaz (1 shared paper)İhsan Güneş (5 shared papers)Zeynep Güven Özdemir (1 shared paper)Holly A. Taylor (2 shared papers)Ömer Nezih Gerek (2 shared papers)
- Journals
- Expert Systems with Applications (6 papers)Information Processing & Management (4 papers)IEEE Access (3 papers)PeerJ Computer Science (2 papers)Artificial Intelligence Review (2 papers)
- Partner nations
- TürkiyeUnited StatesItaly
In The Last Decade
Alper Bilge
42 papers receiving 1.1k citations
Alper Bilge's Hit Papers
Peers
Comparison fields: 5 of 85
- Information Systems 885
- Artificial Intelligence 573
- Management Science and Operations Research 163
- Computer Science Applications 61
- Computer Vision and Pattern Recognition 204
Countries citing papers authored by Alper Bilge
This map shows the geographic impact of Alper Bilge'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 Alper Bilge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alper Bilge more than expected).
Fields of papers citing papers by Alper Bilge
This network shows the impact of papers produced by Alper Bilge. 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 Alper Bilge. The network helps show where Alper Bilge may publish in the future.
Co-authors
The 12 scholars most cited alongside Alper Bilge, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A review on deep learning for recommender systems: challenges and remedies Hit paper breakdown → | 2018 | 330 |
| 2 | 2012 | 227 | |
| 3 | 2021 | 47 | |
| 4 | 2013 | 44 | |
| 5 | 2012 | 41 | |
| 6 | 2020 | 40 | |
| 7 | 2014 | 33 | |
| 8 | 2018 | 32 | |
| 9 | 2013 | 32 | |
| 10 | 2022 | 30 | |
| 11 | 2022 | 29 | |
| 12 | 2014 | 28 | |
| 13 | 2013 | 27 | |
| 14 | 2011 | 23 | |
| 15 | 2013 | 20 | |
| 16 | 2021 | 18 | |
| 17 | 2019 | 16 | |
| 18 | 2016 | 15 | |
| 19 | 2010 | 12 | |
| 20 | 2011 | 11 |
About Alper Bilge
Alper Bilge is a scholar working on Information Systems, Artificial Intelligence, Marketing, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (36 papers), Privacy-Preserving Technologies in Data (14 papers), Advanced Bandit Algorithms Research (7 papers), Human Mobility and Location-Based Analysis (6 papers), Image and Video Quality Assessment (5 papers), Customer churn and segmentation (5 papers), Caching and Content Delivery (4 papers) and Consumer Market Behavior and Pricing (4 papers). The work is most often cited by research in Information Systems (885 citations), Artificial Intelligence (573 citations), Management Science and Operations Research (163 citations), Computer Science Applications (61 citations) and Computer Vision and Pattern Recognition (204 citations). Alper Bilge has collaborated with scholars based in Türkiye, United States and Italy. Frequent co-authors include Cihan Kaleli, Hüseyin Polat, Ali Yürekli, Zeynep Batmaz, İhsan Güneş, Zeynep Güven Özdemir, Holly A. Taylor, Ömer Nezih Gerek, Giuliana Mazzoni and Francesco Ianì. Their work appears in journals such as Expert Systems with Applications, Information Processing & Management, IEEE Access, PeerJ Computer Science and Artificial Intelligence Review.
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.