Anthony Giunta

38 papers receiving 1.9k citations

Peers

Anthony Giunta
Comparison fields: 5 of 98
  • Statistics, Probability and Uncertainty 957
  • Computational Theory and Mathematics 1.1k
  • Management Science and Operations Research 522
  • Civil and Structural Engineering 341
  • Industrial and Manufacturing Engineering 134
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Jacob Søndergaard Canada
Natalia Alexandrov United States
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Citations per year

Countries citing papers authored by Anthony Giunta

Since Specialization
Citations

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

Fields of papers citing papers by Anthony Giunta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004328
2 1998324
3 2003293
4 2004131
5 2005114
6 200398
7 199994
8 199675
9 200065
10 200657
11 200253
12 199642
13 200233
14 199531
15 199631
16 200630
17 199628
18 199826
19 199825
20
Aleatory and Epistemic Uncertainty Quantification for Engineering Applications
200724

About Anthony Giunta

Anthony Giunta is a scholar working on Computational Theory and Mathematics, Statistics, Probability and Uncertainty, Management Science and Operations Research, Computational Mechanics and Civil and Structural Engineering, having authored 38 papers that have together received 2.1k indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (25 papers), Advanced Multi-Objective Optimization Algorithms (25 papers), Optimal Experimental Design Methods (15 papers), Computational Fluid Dynamics and Aerodynamics (6 papers), Soil Geostatistics and Mapping (3 papers), Manufacturing Process and Optimization (2 papers), High-Velocity Impact and Material Behavior (2 papers) and Laser-Plasma Interactions and Diagnostics (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (957 citations), Computational Theory and Mathematics (1.1k citations), Management Science and Operations Research (522 citations), Civil and Structural Engineering (341 citations) and Industrial and Manufacturing Engineering (134 citations). Anthony Giunta has collaborated with scholars based in United States. Frequent co-authors include Michael Eldred, Layne T. Watson, Steven F. Wojtkiewicz, Laura Swiler, Dipankar Ghosh, Andrew Booker, R. J. Yang, Patrick Koch, Timothy W. Simpson and Raphael T. Haftka. Their work appears in journals such as Structural and Multidisciplinary Optimization, Structural Safety, Journal of Applied Physics, Structure and Infrastructure Engineering and Language Testing.

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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