Gábor Danner
Impact in
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- Privacy-Preserving Technologies in Data
- Stochastic Gradient Optimization Techniques
- Cryptography and Data Security
- Internet Traffic Analysis and Secure E-voting
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- Mobile Crowdsensing and Crowdsourcing
Papers in
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- Privacy-Preserving Technologies in Data 2
- Artificial Intelligence in Games 1
- Anomaly Detection Techniques and Applications 1
- Cryptography and Data Security 1
- Adversarial Robustness in Machine Learning 1
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- Peer-to-Peer Network Technologies 2
- Opportunistic and Delay-Tolerant Networks 1
- Journals
- Journal of Parallel and Distributed Computing (1 paper)IEEE Transactions on Computational Intelligence and AI in Games (1 paper)Security and Communication Networks (1 paper)SZTE Publicatio Repozitórium (University of Szeged) (2 papers)
- Partner nations
- Hungary
In The Last Decade
Gábor Danner
5 papers receiving 109 citations
Peers
Comparison fields: 5 of 39
- Artificial Intelligence 83
- Computer Science Applications 10
- Computer Networks and Communications 36
- Health Informatics 1
- Information Systems 17
Countries citing papers authored by Gábor Danner
This map shows the geographic impact of Gábor Danner'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 Gábor Danner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gábor Danner more than expected).
Fields of papers citing papers by Gábor Danner
This network shows the impact of papers produced by Gábor Danner. 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 Gábor Danner. The network helps show where Gábor Danner may publish in the future.
Co-authors
The 2 scholars most cited alongside Gábor Danner, 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 | 2020 | 96 | |
| 2 | 2018 | 6 | |
| 3 | 2015 | 4 | |
| 4 | 2018 | 2 | |
| 5 | 2022 | 2 |
About Gábor Danner
Gábor Danner is a scholar working on Artificial Intelligence, Computer Networks and Communications, Sociology and Political Science, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 5 papers that have together received 110 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (2 papers), Peer-to-Peer Network Technologies (2 papers), Artificial Intelligence in Games (1 paper), Anomaly Detection Techniques and Applications (1 paper), Cryptography and Data Security (1 paper), Opportunistic and Delay-Tolerant Networks (1 paper), Complex Network Analysis Techniques (1 paper) and Adversarial Robustness in Machine Learning (1 paper). The work is most often cited by research in Artificial Intelligence (83 citations), Computer Science Applications (10 citations), Computer Networks and Communications (36 citations), Health Informatics (1 citation) and Information Systems (17 citations). Gábor Danner has collaborated with scholars based in Hungary. Frequent co-authors include Márk Jelasity and István Hegedűs. Their work appears in journals such as Journal of Parallel and Distributed Computing, IEEE Transactions on Computational Intelligence and AI in Games, Security and Communication Networks and SZTE Publicatio Repozitórium (University of Szeged).
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.