Rick Salay
Impact in
- Software top 0.5%
- Model-Driven Software Engineering Techniques
- Software Reliability and Analysis Research
- Artificial Intelligence top 2%
- Advanced Software Engineering Methodologies
Papers in
- Software 55
- Model-Driven Software Engineering Techniques 43
- Software Reliability and Analysis Research 12
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- Advanced Software Engineering Methodologies 37
- Adversarial Robustness in Machine Learning 9
- Co-authors
- Marsha Chećhik (52 shared papers)Michalis Famelis (16 shared papers)Krzysztof Czarnecki (16 shared papers)Alessio Di Sandro (13 shared papers)Steffen Zschaler (3 shared papers)Jennifer Horkoff (4 shared papers)Rodrigo Queiroz (1 shared paper)Gehan Selim (6 shared papers)
- Journals
- Software & Systems Modeling (3 papers)Lecture notes in computer science (19 papers)IEEE Transactions on Software Engineering (2 papers)Journal of Virology (1 paper)SAE technical papers on CD-ROM/SAE technical paper series (1 paper)
- Partner nations
- CanadaUnited StatesSpain
In The Last Decade
Rick Salay
78 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 91
- Software 875
- Artificial Intelligence 904
- Information Systems 614
- Safety, Risk, Reliability and Quality 184
- Computational Theory and Mathematics 209
Countries citing papers authored by Rick Salay
This map shows the geographic impact of Rick Salay'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 Rick Salay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rick Salay more than expected).
Fields of papers citing papers by Rick Salay
This network shows the impact of papers produced by Rick Salay. 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 Rick Salay. The network helps show where Rick Salay may publish in the future.
Co-authors
The 25 scholars most cited alongside Rick Salay, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | CEUR Workshop Proceedings | 2014 | 117 |
| 2 | 2012 | 97 | |
| 3 | 2014 | 88 | |
| 4 | 2012 | 74 | |
| 5 | 2018 | 72 | |
| 6 | 2013 | 62 | |
| 7 | 2018 | 56 | |
| 8 | 2014 | 54 | |
| 9 | 2018 | 53 | |
| 10 | 2012 | 53 | |
| 11 | 2013 | 38 | |
| 12 | 2019 | 35 | |
| 13 | 2009 | 32 | |
| 14 | 2012 | 31 | |
| 15 | 2007 | 25 | |
| 16 | MMINT: A Graphical Tool for Interactive Model Management. | 2015 | 24 |
| 17 | 2016 | 23 | |
| 18 | 2017 | 22 | |
| 19 | 2015 | 20 | |
| 20 | ProcSy: Procedural Synthetic Dataset Generation Towards Influence Factor Studies Of Semantic Segmentation Networks | 2019 | 19 |
About Rick Salay
Rick Salay is a scholar working on Software, Artificial Intelligence, Information Systems, Safety, Risk, Reliability and Quality and Management Information Systems, having authored 78 papers that have together received 1.5k indexed citations. Recurring topics across this work include Model-Driven Software Engineering Techniques (43 papers), Advanced Software Engineering Methodologies (37 papers), Service-Oriented Architecture and Web Services (21 papers), Software Engineering Research (18 papers), Safety Systems Engineering in Autonomy (14 papers), Software Reliability and Analysis Research (12 papers), Business Process Modeling and Analysis (9 papers) and Adversarial Robustness in Machine Learning (9 papers). The work is most often cited by research in Software (875 citations), Artificial Intelligence (904 citations), Information Systems (614 citations), Safety, Risk, Reliability and Quality (184 citations) and Computational Theory and Mathematics (209 citations). Rick Salay has collaborated with scholars based in Canada, United States and Spain. Frequent co-authors include Marsha Chećhik, Michalis Famelis, Krzysztof Czarnecki, Alessio Di Sandro, Steffen Zschaler, Jennifer Horkoff, Rodrigo Queiroz, Gehan Selim, Steve Easterbrook and Buu Phan. Their work appears in journals such as Software & Systems Modeling, Lecture notes in computer science, IEEE Transactions on Software Engineering, Journal of Virology and SAE technical papers on CD-ROM/SAE technical paper series.
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.