Roland R. Cavanagh

1.5k citations
5 papers · 752 indexed · 1 hit paper · h-index 3
Topics
Quality and Supply Management (2 papers)Big Data and Business Intelligence (1 paper)Software Engineering Techniques and Practices (1 paper)
Journals
Virtual Defense Library (Ministerio de Defensa)Dialnet (Universidad de la Rioja)

In The Last Decade

Roland R. Cavanagh

4 papers receiving 611 citations

Hit Papers

The Six Sigma Way: How GE, Motorola, and Other Top Compan...20002026200820172000200400600

Peers

Roland R. Cavanagh
Comparison fields: 5 of 93
  • Management Information Systems 471
  • Strategy and Management 332
  • Management Science and Operations Research 145
  • Industrial and Manufacturing Engineering 77
  • Management of Technology and Innovation 76
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Roland R. Cavanagh relative to Peter S. Pande Peter S. Pande's profile →
Citations per field
00.5×1.5×
Peter S. Pande · 1×
Citations per year

Countries citing papers authored by Roland R. Cavanagh

Since Specialization
Citations

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

Fields of papers citing papers by Roland R. Cavanagh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roland R. Cavanagh. 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 Roland R. Cavanagh. The network helps show where Roland R. Cavanagh may publish in the future.

Co-authorship network of co-authors of Roland R. Cavanagh

This figure shows the co-authorship network connecting the top 25 collaborators of Roland R. Cavanagh. A scholar is included among the top collaborators of Roland R. Cavanagh 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 Roland R. Cavanagh. Roland R. Cavanagh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
#WorkIndexed citations
1
The Six Sigma Way: How to Maximize the Impact of Your Change and Improvement Efforts, 2/E.
2
2
Las claves prácticas de Seis Sigma: una guía dirigida a los equipos de mejora de procesos
0
3
Las claves de Seis Sigma: la implantación con éxito de una cultura que revoluciona el mundo empresarial
9
4
The Six Sigma Way Team Fieldbook: An Implementation Guide for Process Improvement Teams
79
5
The Six Sigma Way: How GE, Motorola, and Other Top Companies are Honing Their Performancebreakdown →
662

About Roland R. Cavanagh

Roland R. Cavanagh is a scholar working on Medical Laboratory Technology, Management Information Systems and Applied Psychology, having authored 5 papers that have together received 752 indexed citations. Recurring topics across this work include Quality and Supply Management (2 papers), Big Data and Business Intelligence (1 paper) and Software Engineering Techniques and Practices (1 paper). The work is most often cited by research in Management Information Systems (471 citations), Medical Laboratory Technology (41 citations) and Strategy and Management (332 citations). Frequent co-authors include Peter S. Pande and Robert P. Neuman. Their work appears in journals such as Virtual Defense Library (Ministerio de Defensa) and Dialnet (Universidad de la Rioja).

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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