Bottyán Németh
Impact in
- Computational Mathematics top 5%
- Information Systems top 1%
- Recommender Systems and Techniques
Papers in
-
- Recommender Systems and Techniques 7
- Data Mining Algorithms and Applications 2
-
- Text and Document Classification Technologies 3
- Co-authors
- István Pilászy (7 shared papers)Domonkos Tikk (7 shared papers)G. Takács (7 shared papers)Fülöp Augusztinovicz (1 shared paper)Zoltán Tüske (1 shared paper)Péter Bárányi (1 shared paper)Viktor Trón (1 shared paper)
- Journals
- The Journal of the Acoustical Society of America (1 paper)Journal of Machine Learning Research (1 paper)Lecture notes in computer science (1 paper)ACM SIGKDD Explorations Newsletter (1 paper)
- Partner nations
- HungaryUnited Kingdom
In The Last Decade
Bottyán Németh
11 papers receiving 715 citations
Peers
Comparison fields: 5 of 69
- Computational Mathematics 19
- Information Systems 586
- Computer Vision and Pattern Recognition 261
- Management Science and Operations Research 150
- Artificial Intelligence 340
Countries citing papers authored by Bottyán Németh
This map shows the geographic impact of Bottyán Németh'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 Bottyán Németh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bottyán Németh more than expected).
Fields of papers citing papers by Bottyán Németh
This network shows the impact of papers produced by Bottyán Németh. 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 Bottyán Németh. The network helps show where Bottyán Németh may publish in the future.
Co-authors
The 7 scholars most cited alongside Bottyán Németh, 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 | Scalable Collaborative Filtering Approaches for Large Recommender Systems | 2009 | 375 |
| 2 | 2008 | 123 | |
| 3 | 2007 | 105 | |
| 4 | 2008 | 92 | |
| 5 | 2008 | 41 | |
| 6 | 2008 | 10 | |
| 7 | 2008 | 9 | |
| 8 | 2007 | 7 | |
| 9 | 2013 | 5 | |
| 10 | 2008 | 2 | |
| 11 | 2007 | 1 |
About Bottyán Németh
Bottyán Németh is a scholar working on Information Systems, Artificial Intelligence, Marketing, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition, having authored 11 papers that have together received 770 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (7 papers), Text and Document Classification Technologies (3 papers), Data Mining Algorithms and Applications (2 papers), Advanced Bandit Algorithms Research (2 papers), Customer churn and segmentation (2 papers), Color perception and design (1 paper), Educational Games and Gamification (1 paper) and Acoustic Wave Phenomena Research (1 paper). The work is most often cited by research in Computational Mathematics (19 citations), Information Systems (586 citations), Computer Vision and Pattern Recognition (261 citations), Management Science and Operations Research (150 citations) and Artificial Intelligence (340 citations). Bottyán Németh has collaborated with scholars based in Hungary and United Kingdom. Frequent co-authors include István Pilászy, Domonkos Tikk, G. Takács, Fülöp Augusztinovicz, Zoltán Tüske, Péter Bárányi and Viktor Trón. Their work appears in journals such as The Journal of the Acoustical Society of America, Journal of Machine Learning Research, Lecture notes in computer science and ACM SIGKDD Explorations Newsletter.
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.