Daniel Amyot
Impact in
- Software top 0.5%
- Model-Driven Software Engineering Techniques
- Management Information Systems top 0.5%
- Business Process Modeling and Analysis
- Big Data and Business Intelligence
Papers in
- Software 71
- Model-Driven Software Engineering Techniques 67
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- Business Process Modeling and Analysis 60
- Big Data and Business Intelligence 15
- Co-authors
- Gunter Mussbacher (43 shared papers)Sepideh Ghanavati (17 shared papers)Liam Peyton (16 shared papers)Gunter Mussbacher (16 shared papers)Michael A. Weiss (18 shared papers)John Mylopoulos (32 shared papers)Jennifer Horkoff (7 shared papers)Alireza Pourshahid (13 shared papers)
- Journals
- Software & Systems Modeling (8 papers)Requirements Engineering (7 papers)Lecture notes in computer science (42 papers)IEEE Software (3 papers)Energies (3 papers)
- Partner nations
- CanadaItalySaudi Arabia
In The Last Decade
Daniel Amyot
246 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 95
- Software 1k
- Management Information Systems 1.2k
- Artificial Intelligence 1.7k
- Information Systems 1.2k
- Health Information Management 75
Countries citing papers authored by Daniel Amyot
This map shows the geographic impact of Daniel Amyot'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 Daniel Amyot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Amyot more than expected).
Fields of papers citing papers by Daniel Amyot
This network shows the impact of papers produced by Daniel Amyot. 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 Daniel Amyot. The network helps show where Daniel Amyot may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Amyot, 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 263 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 189 | |
| 2 | 2009 | 184 | |
| 3 | 2011 | 123 | |
| 4 | 2012 | 122 | |
| 5 | 2003 | 120 | |
| 6 | 2011 | 119 | |
| 7 | 2009 | 106 | |
| 8 | 2007 | 104 | |
| 9 | 2014 | 90 | |
| 10 | 2005 | 67 | |
| 11 | 2009 | 67 | |
| 12 | 2016 | 64 | |
| 13 | 2009 | 59 | |
| 14 | 2012 | 58 | |
| 15 | 2003 | 54 | |
| 16 | 2023 | 51 | |
| 17 | 2014 | 49 | |
| 18 | 2019 | 49 | |
| 19 | 2005 | 48 | |
| 20 | 2011 | 48 |
About Daniel Amyot
Daniel Amyot is a scholar working on Software, Management Information Systems, Artificial Intelligence, Information Systems and Computational Theory and Mathematics, having authored 263 papers that have together received 4.2k indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (96 papers), Model-Driven Software Engineering Techniques (67 papers), Business Process Modeling and Analysis (60 papers), Software Engineering Techniques and Practices (35 papers), Big Data and Business Intelligence (15 papers), Formal Methods in Verification (15 papers), Blockchain Technology Applications and Security (14 papers) and Artificial Intelligence in Law (10 papers). The work is most often cited by research in Software (1k citations), Management Information Systems (1.2k citations), Artificial Intelligence (1.7k citations), Information Systems (1.2k citations) and Health Information Management (75 citations). Daniel Amyot has collaborated with scholars based in Canada, Italy and Saudi Arabia. Frequent co-authors include Gunter Mussbacher, Sepideh Ghanavati, Liam Peyton, Gunter Mussbacher, Michael A. Weiss, John Mylopoulos, Jennifer Horkoff, Alireza Pourshahid, Luigi Logrippo and Eric S. K. Yu. Their work appears in journals such as Software & Systems Modeling, Requirements Engineering, Lecture notes in computer science, IEEE Software and Energies.
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.