Mark D. Syer

694 citations
19 papers · 512 · h-index 14

Impact in

Papers in

Mark D. Syer

19 papers receiving 493 citations

Peers

Mark D. Syer
Comparison fields: 5 of 64
  • Software 140
  • Health Informatics 43
  • Information Systems 305
  • Family Practice 29
  • Computer Networks and Communications 240
Replace Alexander Trautsch with:
Alexander Trautsch Germany
Bruce I. Blum United States
Jean‐Pierre Corriveau Canada
D. Graham United Kingdom
James H. Hill United States
Yeong-Tae Song United States
Abhishek Pandey India
Jacqueline Floch Norway
Md. Asraful Haque India
Ganesh Kumar Malaysia
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Citations per field
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Citations per year

Countries citing papers authored by Mark D. Syer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Mark D. Syer Line = papers co-authored together Mark D. Syer links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201771
2 202364
3 201346
4 201343
5 201139
6 201737
7 201732
8 201629
9 201427
10 201424
11 201622
12 202120
13 202215
14 201113
15 201512
16 201412
17 20114
18
Empirical Studies of Mobile Apps and Their Dependence on Mobile Platforms
20131
19 20181

About Mark D. Syer

Mark D. Syer is a scholar working on Information Systems, Computer Networks and Communications, Software, Family Practice and Signal Processing, having authored 19 papers that have together received 512 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), Clinical Reasoning and Diagnostic Skills (3 papers) and Distributed systems and fault tolerance (2 papers). The work is most often cited by research in Software (140 citations), Health Informatics (43 citations), Information Systems (305 citations), Family Practice (29 citations) and Computer Networks and Communications (240 citations). Mark D. Syer has collaborated with scholars based in Canada, United States and Bangladesh. Frequent co-authors include Ahmed E. Hassan, Bram Adams, Weiyi Shang, Meiyappan Nagappan, Zhen Ming Jiang, Stefanie S. Sebok‐Syer, Ying Zou, Parminder Flora, Mohamed Nasser and Cor‐Paul Bezemer. Their work appears in journals such as Academic Medicine, Empirical Software Engineering, IEEE Transactions on Software Engineering, Automated Software Engineering and Software Quality Journal.

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.

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