Peter A. Parker

1.1k citations
64 papers · 825 indexed · h-index 15

Impact in

Papers in

Peter A. Parker

58 papers receiving 783 citations

Peers

Peter A. Parker
Comparison fields: 5 of 103
  • Statistics, Probability and Uncertainty 393
  • Statistics and Probability 222
  • Management Science and Operations Research 172
  • Aerospace Engineering 145
  • Computational Theory and Mathematics 80
Replace Sai Hung Cheung with:
Sai Hung Cheung Singapore
Amandine Marrel France
J. Sacks United States
Jesse Frey United States
P. van der Laan Denmark
François Bachoc France
Mathieu Balesdent France
Rui Tuo United States
Sébastien da Veiga France
Brian Weaver United States
Peter A. Parker relative to Sai Hung Cheung Singapore Sai Hung Cheung's profile →
Citations per field
00.5×3.2×
Sai Hung Cheung · 1×
Citations per year

Countries citing papers authored by Peter A. Parker

Since Specialization
Citations

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

Fields of papers citing papers by Peter A. Parker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter A. Parker. 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 Peter A. Parker. The network helps show where Peter A. Parker may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20230
3 20220
4 20211
5 20216
6 20213
7 20191
8 20191
9 201910
10 20121
11 20107
12 20092
13 20083
14 20077
15 200637
16 200632
17 200212
18 200117
19 200147
20 19997

About Peter A. Parker

Peter A. Parker is a scholar working on Statistics, Probability and Uncertainty, Management Science and Operations Research, Statistics and Probability, Aerospace Engineering and Computational Theory and Mathematics, having authored 64 papers that have together received 825 indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (17 papers), Probabilistic and Robust Engineering Design (14 papers), Advanced Multi-Objective Optimization Algorithms (11 papers), Scientific Measurement and Uncertainty Evaluation (9 papers), Aerospace and Aviation Technology (9 papers), Computational Fluid Dynamics and Aerodynamics (7 papers), Manufacturing Process and Optimization (6 papers) and Gas Dynamics and Kinetic Theory (6 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (393 citations), Statistics and Probability (222 citations), Management Science and Operations Research (172 citations), Aerospace Engineering (145 citations) and Computational Theory and Mathematics (80 citations). Peter A. Parker has collaborated with scholars based in United States, Canada and Jamaica. Frequent co-authors include William H. Woodall, Douglas M. Hawkins, Mahmoud A. Mahmoud, G. Geoffrey Vining, Scott M. Kowalski, Drew Landman, James Simpson, Norman R. Draper, Gregory M. Gatlin and J. K. Creilson. Their work appears in journals such as Quality Engineering, Journal of Aircraft, Quality and Reliability Engineering International, Journal of Quality Technology and Journal of Materials Engineering and Performance.

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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