Róbert Ormándi
Impact in
- Artificial Intelligence top 10%
- Privacy-Preserving Technologies in Data
- Stochastic Gradient Optimization Techniques
- Data Stream Mining Techniques
-
- Distributed Control Multi-Agent Systems
- Peer-to-Peer Network Technologies
- IoT and Edge/Fog Computing
Papers in
-
- Privacy-Preserving Technologies in Data 4
- Data Stream Mining Techniques 3
- Topic Modeling 2
- Stochastic Gradient Optimization Techniques 2
- Natural Language Processing Techniques 2
- Bayesian Methods and Mixture Models 2
-
- Recommender Systems and Techniques 5
- Co-authors
- István Hegedűs (11 shared papers)Márk Jelasity (9 shared papers)Róbert Busa‐Fekete (3 shared papers)György Szarvas (4 shared papers)Richárd Farkas (5 shared papers)Balázs Szörényi (1 shared paper)Balázs Kégl (2 shared papers)Veronika Vincze (3 shared papers)
- Journals
- Applied Stochastic Models in Business and Industry (1 paper)Language Resources and Evaluation (1 paper)Advances in Complex Systems (1 paper)Journal of the American Medical Informatics Association (1 paper)Lecture notes in computer science (4 papers)
- Partner nations
- HungaryUnited StatesFrance
In The Last Decade
Róbert Ormándi
18 papers receiving 229 citations
Peers
Comparison fields: 5 of 29
- Artificial Intelligence 143
- Computer Networks and Communications 43
- Information Systems 46
- Management Science and Operations Research 28
- Health Information Management 10
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 12 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 | 112 | |
| 2 | Gossip-based distributed stochastic bandit algorithms | 2013 | 24 |
| 3 | 2009 | 20 | |
| 4 | 2016 | 16 | |
| 5 | 2011 | 13 | |
| 6 | 2010 | 12 | |
| 7 | 2008 | 6 | |
| 8 | 2010 | 6 | |
| 9 | 2012 | 5 | |
| 10 | Scalable Multidimensional Hierarchical Bayesian modeling on Spark | 2015 | 4 |
| 11 | 2008 | 3 | |
| 12 | 2012 | 3 | |
| 13 | Lightning Fast Asynchronous Distributed K-Means Clustering | 2014 | 3 |
| 14 | 2007 | 2 | |
| 15 | 2008 | 2 | |
| 16 | 2013 | 2 | |
| 17 | 2016 | 2 | |
| 18 | Novel balanced feature representation for wikipedia vandalism detection task: Lab report for PAN at CLEF 2010 | 2010 | 1 |
| 19 | 2012 | 1 |
About Róbert Ormándi
Róbert Ormándi is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Statistics and Probability and Management Science and Operations Research, having authored 19 papers that have together received 237 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (5 papers), Privacy-Preserving Technologies in Data (4 papers), Data Stream Mining Techniques (3 papers), Topic Modeling (2 papers), Peer-to-Peer Network Technologies (2 papers), Stochastic Gradient Optimization Techniques (2 papers), Natural Language Processing Techniques (2 papers) and Bayesian Methods and Mixture Models (2 papers). The work is most often cited by research in Artificial Intelligence (143 citations), Computer Networks and Communications (43 citations), Information Systems (46 citations), Management Science and Operations Research (28 citations) and Health Information Management (10 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, Balázs Szörényi, Balázs Kégl, Veronika Vincze, Datong Chen and Hongxia Yang. Their work appears in journals such as Applied Stochastic Models in Business and Industry, Language Resources and Evaluation, Advances in Complex Systems, Journal of the American Medical Informatics Association 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.