Dániel Varró
- Software top 0.1%
- Model-Driven Software Engineering Techniques 92
- Software Testing and Debugging Techniques 24
- Information Systems top 0.5%
- Service-Oriented Architecture and Web Services 36
- Artificial Intelligence top 1%
- Advanced Software Engineering Methodologies 48
- Semantic Web and Ontologies 19
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- Business Process Modeling and Analysis 17
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- Software System Performance and Reliability 17
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- Formal Methods in Verification 19
Dániel Varró
138 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 72
- Software 1.7k
- Information Systems 1.2k
- Artificial Intelligence 1.2k
- Management Information Systems 319
- Computer Networks and Communications 589
Countries citing papers authored by Dániel Varró
This map shows the geographic impact of Dániel Varró'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 Varró with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dániel Varró more than expected).
Fields of papers citing papers by Dániel Varró
This network shows the impact of papers produced by Dániel Varró. 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 Varró. The network helps show where Dániel Varró may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dániel Varró, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 0 | |
| 11 | 2023 | 5 | |
| 12 | 2022 | 1 | |
| 13 | 2022 | 17 | |
| 14 | 2021 | 3 | |
| 15 | 2021 | 3 | |
| 16 | 2021 | 12 | |
| 17 | 2020 | 9 | |
| 18 | 2017 | 35 | |
| 19 | 2015 | 23 | |
| 20 | Graph query by example | 2014 | 1 |
About Dániel Varró
Dániel Varró is a scholar working on Software, Artificial Intelligence, Information Systems, Management Information Systems and Computer Networks and Communications, having authored 148 papers that have together received 2.4k indexed citations. Recurring topics across this work include Model-Driven Software Engineering Techniques (92 papers), Advanced Software Engineering Methodologies (48 papers), Service-Oriented Architecture and Web Services (36 papers), Software Testing and Debugging Techniques (24 papers), Semantic Web and Ontologies (19 papers), Formal Methods in Verification (19 papers), Business Process Modeling and Analysis (17 papers) and Software System Performance and Reliability (17 papers). The work is most often cited by research in Software (1.7k citations), Information Systems (1.2k citations), Artificial Intelligence (1.2k citations), Management Information Systems (319 citations) and Computer Networks and Communications (589 citations). Dániel Varró has collaborated with scholars based in Hungary, Canada and Sweden. Frequent co-authors include István Ráth, Ákos Horváth, András Balogh, Gergely Varró, András Pataricza, Gábor Bergmann, Ábel Hegedüs, Oszkár Semeráth, Reiko Heckel and Sebastian Thöne. Their work appears in journals such as Software & Systems Modeling, IEEE Transactions on Software Engineering, Science of Computer Programming, International Journal on Software Tools for Technology Transfer and IEEE Transactions on Artificial Intelligence.
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.