Richard G. Mathieu
-
- Information Technology Governance and Strategy 6
- Outsourcing and Supply Chain Management 4
- Big Data and Business Intelligence 3
- Business Process Modeling and Analysis 3
-
- Scheduling and Optimization Algorithms 4
- Media Technology top 5%
- Computer Science Applications top 10%
- Open Source Software Innovations 6
-
- Information Systems Education and Curriculum Development 4
- Software Engineering Research 4
Richard G. Mathieu
38 papers receiving 596 citations
Peers
Comparison fields: 5 of 107
- Management Information Systems 168
- Industrial and Manufacturing Engineering 91
- Media Technology 80
- Computer Science Applications 42
- Management Science and Operations Research 89
Countries citing papers authored by Richard G. Mathieu
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
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
The 25 scholars most cited alongside Richard G. Mathieu, 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 | 2013 | 21 | |
| 2 | 2011 | 7 | |
| 3 | 2010 | 7 | |
| 4 | 2009 | 6 | |
| 5 | 2009 | 4 | |
| 6 | 2008 | 13 | |
| 7 | The Application of DEA to Measure the Efficiency of Open Source Security Tool Production | 2007 | 1 |
| 8 | 2007 | 74 | |
| 9 | 2006 | 16 | |
| 10 | 2005 | 13 | |
| 11 | 2005 | 44 | |
| 12 | An Artificial Neural Network Approach to Learning from Factory Performance in a Kanban-Based System | 2003 | 3 |
| 13 | THE ROLE OF PROJECT METHODOLOGY IN LARGE-SCALE IS PROJECT MANAGEMENT | 2003 | 0 |
| 14 | 2002 | 5 | |
| 15 | 2002 | 4 | |
| 16 | 2001 | 2 | |
| 17 | Data Quality in the Database Systems Course | 1998 | 9 |
| 18 | Teaching Data Quality in the Undergraduate Database Course. | 1997 | 4 |
| 19 | 1995 | 7 | |
| 20 | 1994 | 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), Information Systems Education and Curriculum Development (4 papers), Software Engineering Research (4 papers), Outsourcing and Supply Chain Management (4 papers), Scheduling and Optimization Algorithms (4 papers), Big Data and Business Intelligence (3 papers) and Business Process Modeling and Analysis (3 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.