Mark Staples

5.4k citations
87 papers · 2.8k indexed · 2 hit papers · h-index 23

Mark Staples

81 papers receiving 2.6k citations

Hit Papers

Architecture for Blockchain Applications1912017202620202023100200300400

Peers

Mark Staples
Comparison fields: 5 of 156
  • Information Systems 1.9k
  • Management Information Systems 554
  • Software 151
  • Computer Networks and Communications 596
  • Computer Science Applications 93
Replace Balasubramaniam Ramesh with:
Balasubramaniam Ramesh United States
Xuanzhe Liu China
He Zhang China
Stefan Wagner Germany
Jingyue Li Norway
Huaiqing Wang Hong Kong
Arif Ali Khan China
Xiaofeng Wang Italy
Arie van Bennekum Germany
Kari Smolander Finland
Mark Staples relative to Balasubramaniam Ramesh United States Balasubramaniam Ramesh's profile →
Citations per field
00.5×1.5×
Balasubramaniam Ramesh · 1×
Citations per year

Countries citing papers authored by Mark Staples

Since Specialization
Citations

This map shows the geographic impact of Mark Staples'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 Staples with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Staples more than expected).

Fields of papers citing papers by Mark Staples

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Staples. 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 Staples. The network helps show where Mark Staples may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Mark Staples, 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 Staples Line = papers co-authored together Mark Staples links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202413
2 20248
3 20246
4 201844
5 201759
6 2017101
7 201510
8 20148
9 20138
10 20128
11 201211
12 201216
13 20121
14 201046
15 200819
16
Desiderata for languages to be used in the definition of reference business processes
20078
17 20072
18 200718
19 2006170
20 2006199

About Mark Staples

Mark Staples is a scholar working on Information Systems, Software, Management Information Systems, Computer Networks and Communications and Artificial Intelligence, having authored 87 papers that have together received 2.8k indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (21 papers), Software Engineering Research (20 papers), Software Engineering Techniques and Practices (16 papers), Service-Oriented Architecture and Web Services (13 papers), Advanced Software Engineering Methodologies (12 papers), Security and Verification in Computing (11 papers), Business Process Modeling and Analysis (10 papers) and Software System Performance and Reliability (10 papers). The work is most often cited by research in Information Systems (1.9k citations), Management Information Systems (554 citations), Software (151 citations), Computer Networks and Communications (596 citations) and Computer Science Applications (93 citations). Mark Staples has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Mahmood Niazi, Ingo Weber, Xiwei Xu, Liming Zhu, Paul Rimba, Len Bass, Jan Bosch, Cesare Pautasso, Karen Daniel and Róbert Langer. Their work appears in journals such as Journal of Systems and Software, Information and Software Technology, Pharmaceutical Research, Synthese and Information Systems Frontiers.

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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