Richard G. Mathieu

971 total citations
40 papers, 658 citations indexed

About

Richard G. Mathieu is a scholar working on Information Systems, Management Information Systems and Computer Science Applications. According to data from OpenAlex, Richard G. Mathieu has authored 40 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Information Systems, 12 papers in Management Information Systems and 8 papers in Computer Science Applications. Recurrent topics in Richard G. Mathieu's work include Open Source Software Innovations (6 papers), Information Technology Governance and Strategy (6 papers) and Information Systems Education and Curriculum Development (4 papers). Richard G. Mathieu is often cited by papers focused on Open Source Software Innovations (6 papers), Information Technology Governance and Strategy (6 papers) and Information Systems Education and Curriculum Development (4 papers). Richard G. Mathieu collaborates with scholars based in United States, France and Türkiye. Richard G. Mathieu's 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 and has published in prestigious journals such as Communications of the ACM, Physics in Medicine and Biology and Computer.

In The Last Decade

Richard G. Mathieu

38 papers receiving 596 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Richard G. Mathieu United States	14	168	147	91	90	89	40	658
Reggie Davidrajuh Norway	14	231 1.4×	90 0.6×	149 1.6×	205 2.3×	63 0.7×	89	575
Murat M. Tanik United States	15	77 0.5×	199 1.4×	50 0.5×	50 0.6×	56 0.6×	117	760
Mihaela Ulieru Canada	17	114 0.7×	119 0.8×	135 1.5×	38 0.4×	109 1.2×	84	864
Anany Levitin United States	10	191 1.1×	191 1.3×	35 0.4×	63 0.7×	223 2.5×	23	733
Ricardo J. Machado Portugal	15	152 0.9×	397 2.7×	38 0.4×	35 0.4×	93 1.0×	124	778
George Rzevski United Kingdom	10	49 0.3×	46 0.3×	156 1.7×	42 0.5×	79 0.9×	62	640
Norihisa Komoda Japan	12	258 1.5×	190 1.3×	208 2.3×	176 2.0×	137 1.5×	181	797
Omar Chiotti Argentina	13	193 1.1×	179 1.2×	72 0.8×	20 0.2×	59 0.7×	76	602
Riyaz Sikora United States	15	244 1.5×	110 0.7×	238 2.6×	38 0.4×	87 1.0×	36	823
Allen L. Soyster United States	11	43 0.3×	29 0.2×	73 0.8×	133 1.5×	141 1.6×	23	714

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

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20 of 20 papers shown

Hansen, Anders Højgaard, Richard G. Mathieu, Lars Duelund, et al.. (2013). Propofol modulates the lipid phase transition and localizes near the headgroup of membranes. Chemistry and Physics of Lipids. 175-176. 84–91. 21 indexed citations

Mathieu, Richard G. & Raktim Pal. (2011). The selection of supply chain management projects: A case study approach. Operations Management Research. 4(3-4). 164–181. 7 indexed citations

Lending, Diane & Richard G. Mathieu. (2010). Workforce preparation and ABET assessment. 136–141. 7 indexed citations

Mathieu, Richard G., et al.. (2009). Global Trends in Computing Accreditation. Computer. 42(11). 102–104. 6 indexed citations

Wray, Barry, et al.. (2009). Identifying how determinants impact security-based open source software project success using rule induction. International Journal of Electronic Marketing and Retailing. 2(4). 352–352. 4 indexed citations

Wray, Barry & Richard G. Mathieu. (2008). Evaluating the performance of open source software projects using data envelopment analysis. Information Management & Computer Security. 16(5). 449–462. 13 indexed citations

Mathieu, Richard G. & Barry Wray. (2007). The Application of DEA to Measure the Efficiency of Open Source Security Tool Production. Journal of the Association for Information Systems. 118. 1 indexed citations

Niederman, Fred, et al.. (2007). Examining RFID applications in supply chain management. Communications of the ACM. 50(7). 92–101. 74 indexed citations

Mathieu, Richard G., et al.. (2006). Earned value management in a data warehouse project. Information Management & Computer Security. 14(1). 37–50. 16 indexed citations

10.

Mathieu, Richard G., et al.. (2005). Calculations of dose distributions using a neural network model. Physics in Medicine and Biology. 50(5). 1019–1028. 13 indexed citations

11.

Mathieu, Richard G., et al.. (2005). The importance of management practices in IS project performance. Journal of Enterprise Information Management. 18(2). 235–255. 44 indexed citations

12.

Wray, Barry, Ina S. Markham, & Richard G. Mathieu. (2003). An Artificial Neural Network Approach to Learning from Factory Performance in a Kanban-Based System. CSUSB ScholarWorks (California State University, San Bernardino). 12(2). 7. 3 indexed citations

13.

Mathieu, Richard G., et al.. (2003). THE ROLE OF PROJECT METHODOLOGY IN LARGE-SCALE IS PROJECT MANAGEMENT. Journal of the Association for Information Systems. 165.

14.

Mathieu, Richard G.. (2002). Top-down approach to computing. Computer. 35(1). 138–139. 5 indexed citations

15.

Mathieu, Richard G., Barry Wray, & Ina S. Markham. (2002). An approach to learning from both good and poor factory performance in a Kanban-based just-in-time production system. Production Planning & Control. 13(8). 715–724. 4 indexed citations

16.

Mathieu, Richard G.. (2001). The web-enabled transfer of manufacturing technology from the public sector to the private sector. International Journal of Computer Integrated Manufacturing. 14(1). 116–124. 2 indexed citations

17.

Mathieu, Richard G. & Omar Khalil. (1998). Data Quality in the Database Systems Course. 4. 9 indexed citations

18.

Mathieu, Richard G. & Omar Khalil. (1997). Teaching Data Quality in the Undergraduate Database Course.. 249–266. 4 indexed citations

19.

Mathieu, Richard G., et al.. (1995). Data integrity and the Internet:. Information Management & Computer Security. 3(2). 3–7. 7 indexed citations

20.

Mathieu, Richard G., et al.. (1994). Resolving Conflict between MIS and Manufacturing. Industrial Management & Data Systems. 94(8). 21–29. 4 indexed citations

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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