Michael D. Shields

168 papers receiving 6.5k citations

Michael D. Shields's Hit Papers

The generalization of Latin hypercube sampling 2015 · 440 citations
4400+7+15Years since publication100200300400500

Peers

Michael D. Shields
Comparison fields: 5 of 165
  • Management Information Systems 2.8k
  • Accounting 2.6k
  • Statistics, Probability and Uncertainty 1.2k
  • General Decision Sciences 294
  • Organizational Behavior and Human Resource Management 827
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Citations per field
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Citations per year

Countries citing papers authored by Michael D. Shields

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Shields

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael D. Shields. 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 Michael D. Shields. The network helps show where Michael D. Shields may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael D. Shields, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael D. Shields Line = papers co-authored together Michael D. Shields links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 175 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mapping management accounting: graphics and guidelines for theory-consistent empirical research
Hit paper breakdown →
2003533
2
The generalization of Latin hypercube sampling
Hit paper breakdown →
2015440
3 1998396
4 1999386
5 1997347
6 2003299
7 1999229
8 2011142
9 2006138
10 2000138
11 1991127
12 1994125
13 2006121
14 2021120
15 1995101
16 200198
17 199896
18 201593
19 198490
20 200783

About Michael D. Shields

Michael D. Shields is a scholar working on Statistics, Probability and Uncertainty, Management Information Systems, Accounting, Statistical and Nonlinear Physics and Civil and Structural Engineering, having authored 175 papers that have together received 7.2k indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (62 papers), Accounting and Organizational Management (43 papers), Auditing, Earnings Management, Governance (34 papers), Model Reduction and Neural Networks (24 papers), Structural Health Monitoring Techniques (20 papers), Advanced Multi-Objective Optimization Algorithms (17 papers), Decision-Making and Behavioral Economics (15 papers) and Experimental Behavioral Economics Studies (13 papers). The work is most often cited by research in Management Information Systems (2.8k citations), Accounting (2.6k citations), Statistics, Probability and Uncertainty (1.2k citations), General Decision Sciences (294 citations) and Organizational Behavior and Human Resource Management (827 citations). Michael D. Shields has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Joan L. Luft, Jiaxin Zhang, Jeffrey F. Shields, Chee W. Chow, Ira Solomon, Jacob G. Birnberg, O. Ray Whittington, George Deodatis, Mark A. Covaleski and John H. Evans. Their work appears in journals such as Accounting Organizations and Society, Probabilistic Engineering Mechanics, Computer Methods in Applied Mechanics and Engineering, Journal of Management Accounting Research and Reliability Engineering & System Safety.

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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