Michael Brusco

164 papers receiving 4.1k citations

Peers

Michael Brusco
Comparison fields: 5 of 192
  • Industrial and Manufacturing Engineering 1.1k
  • Management Science and Operations Research 944
  • Computational Mathematics 25
  • Marketing 346
  • Statistical and Nonlinear Physics 452
Replace Amin Saberi with:
Amin Saberi United States
Daniel Dajun Zeng China
Jian Yu Yang Australia
Alexander Felfernig Austria
Jaideep Srivastava United States
Lakhmi C. Jain Australia
Carlos Soares Portugal
Siddhartha Bhattacharyya India
David Camacho Spain
William B. Rouse United States
Michael Brusco relative to Amin Saberi United States Amin Saberi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael Brusco

Since Specialization
Citations

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

Fields of papers citing papers by Michael Brusco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Brusco, 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 Brusco Line = papers co-authored together Michael Brusco links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 169 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007233
2 2011169
3 1995134
4 2011129
5 1998127
6 2005116
7 2001105
8 2007100
9 1991100
10 199589
11 201189
12 199384
13 201679
14 199973
15 200864
16 200064
17 200760
18 201659
19 199857
20 200657

About Michael Brusco

Michael Brusco is a scholar working on Management Science and Operations Research, Industrial and Manufacturing Engineering, Statistical and Nonlinear Physics, Statistics and Probability and Artificial Intelligence, having authored 169 papers that have together received 4.3k indexed citations. Recurring topics across this work include Sensory Analysis and Statistical Methods (26 papers), Complex Network Analysis Techniques (24 papers), Advanced Clustering Algorithms Research (24 papers), Vehicle Routing Optimization Methods (22 papers), Scheduling and Timetabling Solutions (22 papers), Scheduling and Optimization Algorithms (22 papers), Mental Health Research Topics (16 papers) and Bayesian Methods and Mixture Models (16 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (1.1k citations), Management Science and Operations Research (944 citations), Computational Mathematics (25 citations), Marketing (346 citations) and Statistical and Nonlinear Physics (452 citations). Michael Brusco has collaborated with scholars based in United States, Slovenia and Germany. Frequent co-authors include Douglas Steinley, Larry W. Jacobs, J. Dennis Cradit, Michael K. Brady, Clay M. Voorhees, Stephen E. Bechtold, Emilie M. Shireman, Michaela Hoffman, Michael J. Showalter and Patrick Doreian. Their work appears in journals such as Psychometrika, British Journal of Mathematical and Statistical Psychology, Psychological Methods, Journal of Classification and Multivariate Behavioral 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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