Róbert Ormándi
Impact in
- Computer Science Applications top 10%
- Mobile Crowdsensing and Crowdsourcing
- Artificial Intelligence top 10%
- Privacy-Preserving Technologies in Data
- Data Stream Mining Techniques
- Topic Modeling
Papers in
-
- Data Stream Mining Techniques 9
- Natural Language Processing Techniques 5
- Topic Modeling 4
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- Caching and Content Delivery 5
- Peer-to-Peer Network Technologies 4
- Co-authors
- István Hegedűs (12 shared papers)Márk Jelasity (10 shared papers)Róbert Busa‐Fekete (3 shared papers)György Szarvas (4 shared papers)Richárd Farkas (5 shared papers)Veronika Vincze (3 shared papers)Balázs Szörényi (1 shared paper)Balázs Kégl (2 shared papers)
- Journals
- Journal of the American Medical Informatics Association (1 paper)Applied Stochastic Models in Business and Industry (1 paper)Advances in Complex Systems (1 paper)Language Resources and Evaluation (1 paper)Lecture notes in computer science (5 papers)
- Partner nations
- HungaryUnited StatesFrance
In The Last Decade
Róbert Ormándi
19 papers receiving 209 citations
Peers
Comparison fields: 5 of 41
- Computer Science Applications 31
- Artificial Intelligence 153
- Computer Networks and Communications 81
- Management Science and Operations Research 38
- Information Systems 42
Countries citing papers authored by Róbert Ormándi
This map shows the geographic impact of Róbert Ormándi'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 Róbert Ormándi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Róbert Ormándi more than expected).
Fields of papers citing papers by Róbert Ormándi
This network shows the impact of papers produced by Róbert Ormándi. 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 Róbert Ormándi. The network helps show where Róbert Ormándi may publish in the future.
Co-authors
The 13 scholars most cited alongside Róbert Ormándi, 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 | 2012 | 100 | |
| 2 | 2009 | 23 | |
| 3 | Gossip-based distributed stochastic bandit algorithms | 2013 | 22 |
| 4 | 2016 | 16 | |
| 5 | 2010 | 13 | |
| 6 | 2011 | 12 | |
| 7 | 2008 | 7 | |
| 8 | Scalable Multidimensional Hierarchical Bayesian modeling on Spark | 2015 | 4 |
| 9 | 2012 | 4 | |
| 10 | 2010 | 4 | |
| 11 | 2008 | 3 | |
| 12 | Lightning Fast Asynchronous Distributed K-Means Clustering | 2014 | 3 |
| 13 | 2007 | 3 | |
| 14 | 2008 | 3 | |
| 15 | 2013 | 2 | |
| 16 | 2016 | 2 | |
| 17 | Efficient P2P Ensemble Learning with Linear Models on Fully Distributed Data | 2011 | 2 |
| 18 | 2012 | 2 | |
| 19 | Novel balanced feature representation for wikipedia vandalism detection task: Lab report for PAN at CLEF 2010 | 2010 | 1 |
| 20 | 2012 | 1 |
About Róbert Ormándi
Róbert Ormándi is a scholar working on Artificial Intelligence, Computer Networks and Communications, Management Science and Operations Research, Information Systems and Computer Science Applications, having authored 20 papers that have together received 227 indexed citations. Recurring topics across this work include Data Stream Mining Techniques (9 papers), Natural Language Processing Techniques (5 papers), Advanced Bandit Algorithms Research (5 papers), Caching and Content Delivery (5 papers), Topic Modeling (4 papers), Peer-to-Peer Network Technologies (4 papers), Recommender Systems and Techniques (3 papers) and Mobile Crowdsensing and Crowdsourcing (3 papers). The work is most often cited by research in Computer Science Applications (31 citations), Artificial Intelligence (153 citations), Computer Networks and Communications (81 citations), Management Science and Operations Research (38 citations) and Information Systems (42 citations). Róbert Ormándi has collaborated with scholars based in Hungary, United States and France. Frequent co-authors include István Hegedűs, Márk Jelasity, Róbert Busa‐Fekete, György Szarvas, Richárd Farkas, Veronika Vincze, Balázs Szörényi, Balázs Kégl, Datong Chen and Qiang Ma. Their work appears in journals such as Journal of the American Medical Informatics Association, Applied Stochastic Models in Business and Industry, Advances in Complex Systems, Language Resources and Evaluation and Lecture notes in computer science.
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.