József Kovács
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- Scientific Computing and Data Management 18
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- Distributed and Parallel Computing Systems 35
- Peer-to-Peer Network Technologies 8
- Distributed systems and fault tolerance 7
- IoT and Edge/Fog Computing 6
- Advanced Data Storage Technologies 5
- Information Systems top 2%
- Cloud Computing and Resource Management 20
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques 11
József Kovács
56 papers receiving 576 citations
Peers
Comparison fields: 5 of 71
- Information Systems and Management 146
- Computer Networks and Communications 436
- Information Systems 269
- Hardware and Architecture 55
- Behavioral Neuroscience 21
Countries citing papers authored by József Kovács
This map shows the geographic impact of József Kovács'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 József Kovács with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites József Kovács more than expected).
Fields of papers citing papers by József Kovács
This network shows the impact of papers produced by József Kovács. 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 József Kovács. The network helps show where József Kovács may publish in the future.
Co-authorship network
The 25 scholars most cited alongside József Kovács, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 5 | |
| 6 | 2023 | 23 | |
| 7 | 2022 | 3 | |
| 8 | 2022 | 11 | |
| 9 | 2021 | 3 | |
| 10 | Interacting advanced ITS communications with low-power sensor networks | 2013 | 3 |
| 11 | Monitoring UNICORE jobs executed on Desktop Grid resources | 2012 | 1 |
| 12 | Application repository based evaluation of the EDGI infrastructure | 2012 | 0 |
| 13 | Utilizing the power of Desktop Grid systems by Web 2.0 communities | 2011 | 0 |
| 14 | Towards Accelerated Anti-Cancer Drug Discovery: Integration of Chemoinformatics, Cell-Based Screening and Grid Computing | 2010 | 0 |
| 15 | Supporting dynamic parameter sweep applications in workflows - lessons learnt from the CancerGrid project | 2008 | 5 |
| 16 | Migration and monitoring of P-GRADE parallel jobs in the Grid | 2003 | 1 |
| 17 | 2001 | 1 | |
| 18 | Intelligent Decision-Making within 4th Generation Wireless Networks. | 2001 | 1 |
| 19 | Configurable Radio with Advanced Software Technology (CAST) – Initial Concepts | 2000 | 7 |
| 20 | 1996 | 13 |
About József Kovács
József Kovács is a scholar working on Information Systems and Management, Computer Networks and Communications and Hardware and Architecture, having authored 65 papers that have together received 613 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (35 papers), Cloud Computing and Resource Management (20 papers), Scientific Computing and Data Management (18 papers), Parallel Computing and Optimization Techniques (11 papers), Peer-to-Peer Network Technologies (8 papers), Distributed systems and fault tolerance (7 papers), IoT and Edge/Fog Computing (6 papers) and Advanced Data Storage Technologies (5 papers). The work is most often cited by research in Information Systems and Management (146 citations), Computer Networks and Communications (436 citations) and Information Systems (269 citations). József Kovács has collaborated with scholars based in Hungary, United Kingdom and Germany. Frequent co-authors include Péter Kacsuk, Tamás Kiss, Róbert Lovas, Zoltán Balaton, Gábor Gombás, Zoltán Farkas, József Haller, Gábor Terstyánszky, Norbert Podhorszki and Ákos Hajnal.
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.