Roland R. Cavanagh is a scholar working on Management Information Systems, Strategy and Management and Organizational Behavior and Human Resource Management.
According to data from OpenAlex, Roland R. Cavanagh has authored 5 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Management Information Systems, 2 papers in Strategy and Management and 2 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Roland R. Cavanagh's work include Quality and Supply Management (2 papers), Big Data and Business Intelligence (1 paper) and Software Engineering Techniques and Practices (1 paper). Roland R. Cavanagh is often cited by papers focused on Quality and Supply Management (2 papers), Big Data and Business Intelligence (1 paper) and Software Engineering Techniques and Practices (1 paper). Roland R. Cavanagh collaborates with scholars based in . Roland R. Cavanagh's co-authors include Peter S. Pande and Robert P. Neuman and has published in prestigious journals such as Virtual Defense Library (Ministerio de Defensa) and Dialnet (Universidad de la Rioja).
In The Last Decade
Roland R. Cavanagh
4 papers
receiving
611 citations
Hit Papers
What are hit papers?
Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
The Six Sigma Way: How GE, Motorola, and Other Top Companies are Honing Their Performance
2000662 citationsPeter S. Pande, Roland R. Cavanagh et al.profile →
Citations per field, relative to Roland R. Cavanagh
Roland R. Cavanagh · 1×
×1.0480MIS
×1.0342SM
×1.0148MSOR
×1.078IME
×1.182MTI
Citations per year, relative to Roland R. Cavanagh
Roland R. Cavanagh · 1×
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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
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
#
Work
Indexed citations
1
The Six Sigma Way: How to Maximize the Impact of Your Change and Improvement Efforts, 2/E.
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.