Mark D. Syer
Impact in
- Software top 5%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Health Informatics top 5%
Papers in
-
- Software Engineering Research 8
- Cloud Computing and Resource Management 3
-
- Software System Performance and Reliability 9
- Co-authors
- Ahmed E. Hassan (14 shared papers)Bram Adams (6 shared papers)Meiyappan Nagappan (5 shared papers)Weiyi Shang (4 shared papers)Zhen Ming Jiang (4 shared papers)Stefanie S. Sebok‐Syer (4 shared papers)Ying Zou (3 shared papers)Mohamed Nasser (3 shared papers)
- Journals
- Empirical Software Engineering (2 papers)Academic Medicine (2 papers)Software Quality Journal (1 paper)IEEE Transactions on Software Engineering (1 paper)Medical Education (1 paper)
- Partner nations
- CanadaUnited StatesDenmark
In The Last Decade
Mark D. Syer
19 papers receiving 533 citations
Peers
Comparison fields: 5 of 62
- Software 150
- Health Informatics 42
- Information Systems 322
- Computer Networks and Communications 257
- Family Practice 17
Countries citing papers authored by Mark D. Syer
This map shows the geographic impact of Mark D. Syer'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 Mark D. Syer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark D. Syer more than expected).
Fields of papers citing papers by Mark D. Syer
This network shows the impact of papers produced by Mark D. Syer. 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 Mark D. Syer. The network helps show where Mark D. Syer may publish in the future.
Co-authors
The 20 scholars most cited alongside Mark D. Syer, 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 | 2017 | 77 | |
| 2 | 2023 | 73 | |
| 3 | 2013 | 50 | |
| 4 | 2013 | 46 | |
| 5 | 2017 | 40 | |
| 6 | 2011 | 40 | |
| 7 | 2017 | 35 | |
| 8 | 2014 | 31 | |
| 9 | 2016 | 30 | |
| 10 | 2014 | 24 | |
| 11 | 2016 | 24 | |
| 12 | 2021 | 23 | |
| 13 | 2022 | 16 | |
| 14 | 2015 | 14 | |
| 15 | 2011 | 13 | |
| 16 | 2014 | 12 | |
| 17 | 2011 | 4 | |
| 18 | 2018 | 2 | |
| 19 | Empirical Studies of Mobile Apps and Their Dependence on Mobile Platforms | 2013 | 1 |
About Mark D. Syer
Mark D. Syer is a scholar working on Information Systems, Computer Networks and Communications, Software, Signal Processing and Artificial Intelligence, having authored 19 papers that have together received 555 indexed citations. Recurring topics across this work include Software System Performance and Reliability (9 papers), Software Engineering Research (8 papers), Software Reliability and Analysis Research (5 papers), Software Testing and Debugging Techniques (4 papers), Cloud Computing and Resource Management (3 papers), Advanced Malware Detection Techniques (3 papers), Green IT and Sustainability (2 papers) and Advanced Software Engineering Methodologies (2 papers). The work is most often cited by research in Software (150 citations), Health Informatics (42 citations), Information Systems (322 citations), Computer Networks and Communications (257 citations) and Family Practice (17 citations). Mark D. Syer has collaborated with scholars based in Canada, United States and Denmark. Frequent co-authors include Ahmed E. Hassan, Bram Adams, Meiyappan Nagappan, Weiyi Shang, Zhen Ming Jiang, Stefanie S. Sebok‐Syer, Ying Zou, Mohamed Nasser, Parminder Flora and Cor‐Paul Bezemer. Their work appears in journals such as Empirical Software Engineering, Academic Medicine, Software Quality Journal, IEEE Transactions on Software Engineering and Medical Education.
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.