Michael Balch

15 papers receiving 815 citations

Peers

Michael Balch
Comparison fields: 5 of 84
  • Statistics, Probability and Uncertainty 521
  • General Decision Sciences 41
  • Environmental Engineering 210
  • Computational Mechanics 209
  • Management Science and Operations Research 115
Replace Nicola Loperfido with:
Nicola Loperfido Italy
J. C. Naylor United Kingdom
Paresh Date United Kingdom
Alexander Samarov United States
Oscar H. Bustos Brazil
Kari Sentz United States
Hannes Leeb Austria
Francesco Russo France
Piotr Jaworski Poland
Graciela González-Farı́as Mexico
Michael Balch relative to Nicola Loperfido Italy Nicola Loperfido's profile →
Citations per field
00.5×5×10×13.7×
Nicola Loperfido · 1×
Citations per year

Countries citing papers authored by Michael Balch

Since Specialization
Citations

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

Fields of papers citing papers by Michael Balch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Michael Balch, 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 Balch Line = papers co-authored together Michael Balch links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2007280
2 1976247
3 2010205
4 200842
5 201237
6 201221
7 20208
8 20147
9 19735
10 20084
11 20214
12 20143
13 19662
14 20162
15
Estimating the Economic Impact of Substituting Switchgrass for Coal for Electric Generation in Iowa Final Report
20051

About Michael Balch

Michael Balch is a scholar working on Statistics, Probability and Uncertainty, Environmental Engineering, Statistics and Probability, Computational Mechanics and Artificial Intelligence, having authored 15 papers that have together received 868 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (9 papers), Advanced Statistical Methods and Models (4 papers), Wind and Air Flow Studies (4 papers), Computational Fluid Dynamics and Aerodynamics (2 papers), Numerical Methods and Algorithms (1 paper), Satellite Image Processing and Photogrammetry (1 paper), Structural Response to Dynamic Loads (1 paper) and Statistical Distribution Estimation and Applications (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (521 citations), General Decision Sciences (41 citations), Environmental Engineering (210 citations), Computational Mechanics (209 citations) and Management Science and Operations Research (115 citations). Michael Balch has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Serhat Hosder, Robert Walters, Robert W. Walters, Sidney G. Winter, Daniel McFadden, Christopher J. Roy, Scott Ferson, Uri Ben‐Zion, Jason O'Rawe and Ryan Martin. Their work appears in journals such as International Journal of Approximate Reasoning, The Quarterly Journal of Economics, Communications on Pure and Applied Mathematics, International Journal for Uncertainty Quantification and Journal of the American Statistical Association.

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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