Özlem Özgöbek
About
In The Last Decade
Özlem Özgöbek
26 papers receiving 208 citations
Peers
Comparison fields: 5 of 38
- Information Systems 176
- Artificial Intelligence 168
- Sociology and Political Science 46
- Computer Vision and Pattern Recognition 41
- Management Science and Operations Research 27
Countries citing papers authored by Özlem Özgöbek
This map shows the geographic impact of Özlem Özgöbek'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 Özlem Özgöbek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Özlem Özgöbek more than expected).
Fields of papers citing papers by Özlem Özgöbek
This network shows the impact of papers produced by Özlem Özgöbek. 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 Özlem Özgöbek. The network helps show where Özlem Özgöbek may publish in the future.
Co-authorship network of co-authors of Özlem Özgöbek
This figure shows the co-authorship network connecting the top 25 collaborators of Özlem Özgöbek. A scholar is included among the top collaborators of Özlem Özgöbek 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 Özlem Özgöbek. Özlem Özgöbek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Title | Journal | Authors | Indexed citations |
|---|---|---|---|---|
| 1 | De-centering the (Traditional) user: Multistakeholder evaluation of recommender systems | International Journal of Human-Computer Studies | Robin Burke, Gediminas Adomavičius et al. | 1 |
| 2 | Digital technologies in the classrooms in the last decade (2014–2023): a bibliometric analysis | Frontiers in Education | Talha Mahboob Alam, George Stoica et al. | 1 |
| 3 | Asking the classroom with technology: a systematic literature review | Smart Learning Environments | Talha Mahboob Alam, George Stoica et al. | 1 |
| 4 | Private Sensitive Content on Social Media: An Analysis and Automated Detection for Norwegian | Linköping electronic conference proceedings | Özlem Özgöbek et al. | 1 |
| 5 | A Review of Deep Learning Techniques for Multimodal Fake News and Harmful Languages Detection | SSRN Electronic Journal | Özlem Özgöbek et al. | 2 |
| 6 | The 10th International Workshop on News Recommendation and Analytics (INRA 2022) | Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval | Özlem Özgöbek, Andreas Lommatzsch et al. | 2 |
| 7 | 9th International Workshop on News Recommendation and Analytics | Özlem Özgöbek, Andreas Lommatzsch et al. | 3 | |
| 8 | Towards Reflective AI: Needs, Challenges and Directions for Future Research | Zenodo (CERN European Organization for Nuclear Research) | Jasminko Novak, Ksenia Koroleva et al. | 0 |
| 9 | The 7th international workshop on news recommendation and analytics (INRA 2019) | Özlem Özgöbek, Benjamin Kille et al. | 7 | |
| 10 | Defining Contextual Factors for News Consumption. | Benjamin Kille, Özlem Özgöbek et al. | 1 | |
| 11 | The Adressa dataset for news recommendation | Jon Atle Gulla, Lemei Zhang et al. | 103 | |
| 12 | Exploring privacy concerns in news recommender systems | Özlem Özgöbek et al. | 13 | |
| 13 | Rethinking Conventional Collaborative Filtering for Recommending Daily Fashion Outfits. | Özlem Özgöbek, Jon Atle Gulla et al. | 3 | |
| 14 | Connected Closet - A Semantically Enriched Mobile Recommender System for Smart Closets | Özlem Özgöbek, Jon Atle Gulla et al. | 3 | |
| 15 | Twitter Topic Modeling for Breaking News Detection | Jon Atle Gulla, Özlem Özgöbek et al. | 2 | |
| 16 | User Controlled News Recommendations. | Conference on Recommender Systems | Jon Espen Ingvaldsen, Jon Atle Gulla et al. | 4 |
| 17 | Context-aware user-driven news recommendation | Conference on Recommender Systems | Jon Espen Ingvaldsen, Özlem Özgöbek et al. | 4 |
| 18 | 3rd International Workshop on News Recommendation and Analytics (INRA 2015) | Jon Atle Gulla, Bei Yu et al. | 7 | |
| 19 | Data Sets and News Recommendation. | Özlem Özgöbek, Jon Atle Gulla et al. | 1 | |
| 20 | A Survey on Challenges and Methods in News Recommendation | Özlem Özgöbek, Jon Atle Gulla et al. | 30 |
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.