Robert Pergl
Impact in
- Software top 5%
- Model-Driven Software Engineering Techniques
- Information Systems top 2%
- Research Data Management Practices
- Blockchain Technology Applications and Security
Papers in
- Software 27
- Model-Driven Software Engineering Techniques 27
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- Research Data Management Practices 10
- Software Engineering Research 5
- Software Engineering Techniques and Practices 4
- Web Applications and Data Management 4
- Co-authors
- Rob W W Hooft (3 shared papers)Frederik Gailly (2 shared papers)Giancarlo Guizzardi (1 shared paper)Oscar Pastor Lopez (1 shared paper)Barbara Magagna (2 shared papers)Erik Schultes (2 shared papers)Kristina Maria Hettne (2 shared papers)Sarah L. Jones (1 shared paper)
- Journals
- Data Intelligence (4 papers)Lecture notes in business information processing (20 papers)Journal of Intelligent Information Systems (2 papers)Data Science Journal (2 papers)Science of Computer Programming (1 paper)
- Partner nations
- CzechiaNetherlandsUnited Kingdom
In The Last Decade
Robert Pergl
55 papers receiving 753 citations
Robert Pergl's Hit Papers
Peers
Comparison fields: 5 of 93
- Software 118
- Information Systems 410
- Information Systems and Management 89
- Management Information Systems 65
- Artificial Intelligence 135
Countries citing papers authored by Robert Pergl
This map shows the geographic impact of Robert Pergl'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 Robert Pergl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Pergl more than expected).
Fields of papers citing papers by Robert Pergl
This network shows the impact of papers produced by Robert Pergl. 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 Robert Pergl. The network helps show where Robert Pergl may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Pergl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | FAIR Principles: Interpretations and Implementation Considerations Hit paper breakdown → | 2019 | 302 |
| 2 | 2017 | 93 | |
| 3 | 2018 | 56 | |
| 4 | 2019 | 40 | |
| 5 | 2019 | 37 | |
| 6 | 2020 | 29 | |
| 7 | 2020 | 21 | |
| 8 | 2019 | 14 | |
| 9 | 2013 | 12 | |
| 10 | 2019 | 12 | |
| 11 | 2017 | 10 | |
| 12 | 2016 | 9 | |
| 13 | 2016 | 9 | |
| 14 | 2018 | 9 | |
| 15 | 2015 | 7 | |
| 16 | 2016 | 7 | |
| 17 | 2016 | 7 | |
| 18 | 2011 | 6 | |
| 19 | 2021 | 6 | |
| 20 | 2014 | 5 |
About Robert Pergl
Robert Pergl is a scholar working on Software, Information Systems, Management Information Systems, Artificial Intelligence and Information Systems and Management, having authored 65 papers that have together received 779 indexed citations. Recurring topics across this work include Model-Driven Software Engineering Techniques (27 papers), Semantic Web and Ontologies (13 papers), Business Process Modeling and Analysis (12 papers), Research Data Management Practices (10 papers), Advanced Software Engineering Methodologies (8 papers), Software Engineering Research (5 papers), Software Engineering Techniques and Practices (4 papers) and Web Applications and Data Management (4 papers). The work is most often cited by research in Software (118 citations), Information Systems (410 citations), Information Systems and Management (89 citations), Management Information Systems (65 citations) and Artificial Intelligence (135 citations). Robert Pergl has collaborated with scholars based in Czechia, Netherlands and United Kingdom. Frequent co-authors include Rob W W Hooft, Frederik Gailly, Giancarlo Guizzardi, Oscar Pastor Lopez, Barbara Magagna, Erik Schultes, Kristina Maria Hettne, Sarah L. Jones, Tomasz Miksa and Tina Lee. Their work appears in journals such as Data Intelligence, Lecture notes in business information processing, Journal of Intelligent Information Systems, Data Science Journal and Science of Computer Programming.
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.