Dániel Fogaras
Impact in
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- Complex Network Analysis Techniques
- Signal Processing top 10%
- Data Management and Algorithms
Papers in
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- Web Data Mining and Analysis 3
- Information Retrieval and Search Behavior 2
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- Complex Network Analysis Techniques 4
- Co-authors
- Balázs Rácz (4 shared papers)Károly Csalogány (3 shared papers)Tamás Sarlós (3 shared papers)Dániel Marx (1 shared paper)Tibor Cinkler (1 shared paper)Ellen M. Friedman (1 shared paper)Kōkichi Sugihara (1 shared paper)
- Journals
- Internet Mathematics (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences (1 paper)SZTAKI Publication Repository (Hungarian Academy of Sciences) (3 papers)
- Partner nations
- HungaryUnited States
In The Last Decade
Dániel Fogaras
8 papers receiving 370 citations
Peers
Comparison fields: 5 of 36
- Statistical and Nonlinear Physics 185
- Signal Processing 87
- Artificial Intelligence 237
- Computer Vision and Pattern Recognition 129
- Information Systems 129
Countries citing papers authored by Dániel Fogaras
This map shows the geographic impact of Dániel Fogaras'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 Dániel Fogaras with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dániel Fogaras more than expected).
Fields of papers citing papers by Dániel Fogaras
This network shows the impact of papers produced by Dániel Fogaras. 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 Dániel Fogaras. The network helps show where Dániel Fogaras may publish in the future.
Co-authors
The 7 scholars most cited alongside Dániel Fogaras, 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 | 2005 | 189 | |
| 2 | 2005 | 132 | |
| 3 | 2006 | 37 | |
| 4 | 2002 | 22 | |
| 5 | 2003 | 8 | |
| 6 | 2007 | 8 | |
| 7 | Topology-Oriented Construction of Line Arrangements | 2002 | 1 |
| 8 | Ranking the pages of the World Wide Web | 2004 | 1 |
About Dániel Fogaras
Dániel Fogaras is a scholar working on Information Systems, Statistical and Nonlinear Physics, Computer Networks and Communications, Signal Processing and Artificial Intelligence, having authored 8 papers that have together received 398 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (4 papers), Web Data Mining and Analysis (3 papers), Data Management and Algorithms (3 papers), Caching and Content Delivery (2 papers), Information Retrieval and Search Behavior (2 papers), Advanced Photonic Communication Systems (1 paper), Advanced Optical Network Technologies (1 paper) and Optical Network Technologies (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (185 citations), Signal Processing (87 citations), Artificial Intelligence (237 citations), Computer Vision and Pattern Recognition (129 citations) and Information Systems (129 citations). Dániel Fogaras has collaborated with scholars based in Hungary and United States. Frequent co-authors include Balázs Rácz, Károly Csalogány, Tamás Sarlós, Dániel Marx, Tibor Cinkler, Ellen M. Friedman and Kōkichi Sugihara. Their work appears in journals such as Internet Mathematics, IEEE Transactions on Knowledge and Data Engineering, IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences and SZTAKI Publication Repository (Hungarian Academy of Sciences).
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.