Pavol Návrat
Impact in
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- Teaching and Learning Programming
- Information Systems top 5%
- Software Engineering Research
- Web Data Mining and Analysis
- Software Engineering Techniques and Practices
Papers in
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- Web Data Mining and Analysis 13
- Software Engineering Research 10
- Software Engineering Techniques and Practices 8
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- Advanced Text Analysis Techniques 9
- Advanced Software Engineering Methodologies 7
- Co-authors
- Mária Bieliková (13 shared papers)Viera Rozinajová (7 shared papers)Yannis Manolopoulos (3 shared papers)Ivan Srba (1 shared paper)Gottfried Vossen (1 shared paper)Jakub Šimko (1 shared paper)Róbert Móro (1 shared paper)
In The Last Decade
Pavol Návrat
62 papers receiving 368 citations
Peers
Comparison fields: 5 of 58
- Computer Science Applications 65
- Information Systems 197
- Health Informatics 11
- Software 31
- Safety Research 53
Countries citing papers authored by Pavol Návrat
This map shows the geographic impact of Pavol Návrat'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 Pavol Návrat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pavol Návrat more than expected).
Fields of papers citing papers by Pavol Návrat
This network shows the impact of papers produced by Pavol Návrat. 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 Pavol Návrat. The network helps show where Pavol Návrat may publish in the future.
Co-authors
The 7 scholars most cited alongside Pavol Návrat, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 61 | |
| 2 | 2017 | 41 | |
| 3 | 2004 | 32 | |
| 4 | 2016 | 27 | |
| 5 | 2017 | 16 | |
| 6 | 2014 | 14 | |
| 7 | 1994 | 12 | |
| 8 | Software Reuse: Principles, Patterns, Prospects | 1997 | 12 |
| 9 | 2010 | 10 | |
| 10 | Unravelling the basic concepts and intents of misbehavior in post-truth society | 2019 | 9 |
| 11 | 2012 | 9 | |
| 12 | 2010 | 8 | |
| 13 | 2006 | 8 | |
| 14 | 1993 | 7 | |
| 15 | 2015 | 7 | |
| 16 | 2017 | 7 | |
| 17 | 2008 | 7 | |
| 18 | 1996 | 7 | |
| 19 | 2007 | 6 | |
| 20 | 2007 | 6 |
About Pavol Návrat
Pavol Návrat is a scholar working on Information Systems, Artificial Intelligence, Computer Science Applications, Software and Statistical and Nonlinear Physics, having authored 66 papers that have together received 410 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (13 papers), Software Engineering Research (10 papers), Advanced Text Analysis Techniques (9 papers), Teaching and Learning Programming (8 papers), Software Engineering Techniques and Practices (8 papers), Advanced Software Engineering Methodologies (7 papers), Model-Driven Software Engineering Techniques (7 papers) and Complex Network Analysis Techniques (7 papers). The work is most often cited by research in Computer Science Applications (65 citations), Information Systems (197 citations), Health Informatics (11 citations), Software (31 citations) and Safety Research (53 citations). Pavol Návrat has collaborated with scholars based in Slovakia, Greece and Austria. Frequent co-authors include Mária Bieliková, Viera Rozinajová, Yannis Manolopoulos, Ivan Srba, Gottfried Vossen, Jakub Šimko and Róbert Móro. Their work appears in journals such as ACM SIGPLAN Notices, IEEE Transactions on Education, Journal of college student development, PLoS ONE and Information and Software Technology.
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.