Richard G. Mathieu

971 citations
40 papers · 658 indexed · h-index 14
Topics
Open Source Software Innovations (6 papers)Information Technology Governance and Strategy (6 papers)Information Systems Education and Curriculum Development (4 papers)

In The Last Decade

Richard G. Mathieu

38 papers receiving 596 citations

Peers

Richard G. Mathieu
Comparison fields: 5 of 107
  • Management Information Systems 168
  • Information Systems 147
  • Industrial and Manufacturing Engineering 91
  • Computational Theory and Mathematics 90
  • Management Science and Operations Research 89
Replace Lu­ís Soares Barbosa with:
Lu­ís Soares Barbosa Portugal
Murat M. Tanik United States
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Citations per field
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Citations per year

Countries citing papers authored by Richard G. Mathieu

Since Specialization
Citations

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

Fields of papers citing papers by Richard G. Mathieu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard G. Mathieu. 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 Richard G. Mathieu. The network helps show where Richard G. Mathieu may publish in the future.

Co-authorship network of co-authors of Richard G. Mathieu

This figure shows the co-authorship network connecting the top 25 collaborators of Richard G. Mathieu. A scholar is included among the top collaborators of Richard G. Mathieu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Richard G. Mathieu. Richard G. Mathieu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 21
2 7
3 7
4 6
5 4
6 13
7
The Application of DEA to Measure the Efficiency of Open Source Security Tool Production
1
8 74
9 16
10 13
11 44
12
An Artificial Neural Network Approach to Learning from Factory Performance in a Kanban-Based System
3
13
THE ROLE OF PROJECT METHODOLOGY IN LARGE-SCALE IS PROJECT MANAGEMENT
0
14 5
15 4
16 2
17
Data Quality in the Database Systems Course
9
18
Teaching Data Quality in the Undergraduate Database Course.
4
19 7
20 4

About Richard G. Mathieu

Richard G. Mathieu is a scholar working on Computer Science Applications, Management Information Systems and Information Systems, having authored 40 papers that have together received 658 indexed citations. Recurring topics across this work include Open Source Software Innovations (6 papers), Information Technology Governance and Strategy (6 papers) and Information Systems Education and Curriculum Development (4 papers). The work is most often cited by research in Management Information Systems (168 citations), Industrial and Manufacturing Engineering (91 citations) and Media Technology (80 citations). Richard G. Mathieu has collaborated with scholars based in United States, France and Türkiye. Frequent co-authors include G. Anandalingam, Barry Wray, Ina S. Markham, J. E. Gibson, Fred Niederman, Ik‐Whan G. Kwon, Kwei-Jay Lin, Jen‐Yao Chung, Vince Howe and Omar Khalil. Their work appears in journals such as Communications of the ACM, Physics in Medicine and Biology and Computer.

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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