David Gorsich

3.0k citations
173 papers · 2.2k indexed · h-index 23

Impact in

Papers in

David Gorsich

162 papers receiving 2.1k citations

Peers

David Gorsich
Comparison fields: 5 of 130
  • Statistics, Probability and Uncertainty 881
  • Computational Theory and Mathematics 581
  • Automotive Engineering 404
  • Civil and Structural Engineering 724
  • Management Science and Operations Research 277
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Ilan Kroo United States
Tushar Goel United States
Patrick Koch United States
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András Sóbester United Kingdom
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Citations per field
00.5×3.4×
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Citations per year

Countries citing papers authored by David Gorsich

Since Specialization
Citations

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

Fields of papers citing papers by David Gorsich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20242
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12 20212
13 202160
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15 20203
16 20185
17 2014118
18
The Use of Copulas and MPP-Based Dimension Reduction Method (DRM) to Assess and Mitigate Engineering Risk in the Army Ground Vehicle Fleet
20080
19 20027
20
Automotive Research Center
20010

About David Gorsich

David Gorsich is a scholar working on Statistics, Probability and Uncertainty, Automotive Engineering, Civil and Structural Engineering, Computational Theory and Mathematics and Safety, Risk, Reliability and Quality, having authored 173 papers that have together received 2.2k indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (45 papers), Soil Mechanics and Vehicle Dynamics (34 papers), Advanced Multi-Objective Optimization Algorithms (27 papers), Vehicle Dynamics and Control Systems (24 papers), Real-time simulation and control systems (16 papers), Optimal Experimental Design Methods (12 papers), Advanced Battery Technologies Research (9 papers) and Mechanical Engineering and Vibrations Research (8 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (881 citations), Computational Theory and Mathematics (581 citations), Automotive Engineering (404 citations), Civil and Structural Engineering (724 citations) and Management Science and Operations Research (277 citations). David Gorsich has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Kyung K. Choi, Ikjin Lee, Liu Du, Paramsothy Jayakumar, Zissimos P. Mourelatos, David Lamb, Jason B. Siegel, Anna G. Stefanopoulou, Byeng D. Youn and Marc G. Genton. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Journal of Terramechanics, Journal of Mechanical Design, International Journal of Vehicle Design and Structural and Multidisciplinary Optimization.

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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