Dennis J. Sweeney

43 papers receiving 913 citations

Peers

Dennis J. Sweeney
Comparison fields: 5 of 150
  • Management Science and Operations Research 215
  • Management Information Systems 200
  • Strategy and Management 189
  • Industrial and Manufacturing Engineering 171
  • Economics and Econometrics 130
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Countries citing papers authored by Dennis J. Sweeney

Since Specialization
Citations

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

Fields of papers citing papers by Dennis J. Sweeney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dennis J. Sweeney. 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 Dennis J. Sweeney. The network helps show where Dennis J. Sweeney may publish in the future.

Co-authorship network of co-authors of Dennis J. Sweeney

This figure shows the co-authorship network connecting the top 25 collaborators of Dennis J. Sweeney. A scholar is included among the top collaborators of Dennis J. Sweeney 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 Dennis J. Sweeney. Dennis J. Sweeney 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
Modern business statistics with Microsoft Office Excel
4
2
Creating Embedded Radiofrequency Structures Using PolyJet Material Jetting
5
3
Quantitative Methods for Business
27
4
Estadística para negocios y economía
9
5
Fundamentals of business statistics
8
6
Essentials of Modern Business Statistics with Microsoft Excel
10
7 38
8
Metodos Cuantitativos para los Negocios
13
9
Essentials of modern business statistics with Microsoft Office Excel
2
10 3
11 3
12
Statistics for Business and Economics (with Student CD-ROM, iPod Key Term, and InfoTrac )
4
13 1
14
Estadística para la administración y economía
50
15 141
16 13
17
Introduction to statistics : an applications approach
17
18 27
19
Essentials of management science: Applications to decision making
1
20
A new approach to solving dynamic optimization problems
0

About Dennis J. Sweeney

Dennis J. Sweeney is a scholar working on Software, Industrial and Manufacturing Engineering and Management Science and Operations Research, having authored 47 papers that have together received 1.1k indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (6 papers), Spreadsheets and End-User Computing (3 papers) and European history and politics (3 papers). The work is most often cited by research in Management Information Systems (200 citations), Management Science and Operations Research (215 citations) and Industrial and Manufacturing Engineering (171 citations). Dennis J. Sweeney has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Thomas A. Williams, David R. Anderson, Jeffrey D. Camm, Richard A. Murphy, James R. Evans, Norman R. Baker, Debra Anderson, P.L. Abad, David F. Rogers and Richard K. Martin. Their work appears in journals such as Technometrics, Management Science and European Journal of Operational Research.

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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