F.J. Davis

3.7k citations
17 papers · 2.5k indexed · 1 hit paper · h-index 6

Impact in

Papers in

F.J. Davis

15 papers receiving 2.3k citations

Hit Papers

Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems 2003 · 1.9k citations
1.9k200320262010201850010001.5k

Peers

F.J. Davis
Comparison fields: 5 of 155
  • Statistics, Probability and Uncertainty 1.1k
  • Environmental Engineering 381
  • Safety, Risk, Reliability and Quality 236
  • Civil and Structural Engineering 521
  • Computational Theory and Mathematics 283
Replace Toshimitsu Homma with:
Toshimitsu Homma Japan
Cedric Jean-Marie Sallaberry United States
Jay Johnson United States
Sergei Kucherenko United Kingdom
Ivano Azzini Italy
Karen Chan Italy
Bertrand Iooss France
Stefano Marelli Switzerland
Elmar Plischke Germany
T.G. Trucano United States
F.J. Davis relative to Toshimitsu Homma Japan Toshimitsu Homma's profile →
Citations per field
00.5×1.5×
Toshimitsu Homma · 1×
Citations per year

Countries citing papers authored by F.J. Davis

Since Specialization
Citations

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

Fields of papers citing papers by F.J. Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F.J. Davis. 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 F.J. Davis. The network helps show where F.J. Davis may publish in the future.

Co-authorship network

The 8 scholars most cited alongside F.J. Davis, 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 F.J. Davis Line = papers co-authored together F.J. Davis links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 20200
2 20202
3 20201
4 20190
5 20115
6 20113
7 20103
8 200894
9 20084
10 20083
11 20052
12 2004204
13
Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems
Hit paper breakdown →
20031860
14 2002230
15 200029
16 19944
17 195811

About F.J. Davis

F.J. Davis is a scholar working on Architecture, Statistics, Probability and Uncertainty, Media Technology, Management Science and Operations Research and Computational Mechanics, having authored 17 papers that have together received 2.5k indexed citations. Recurring topics across this work include Advanced machining processes and optimization (4 papers), Probabilistic and Robust Engineering Design (3 papers), Advanced Machining and Optimization Techniques (3 papers), Experimental Learning in Engineering (3 papers), Engineering Education and Curriculum Development (3 papers), Optimal Experimental Design Methods (3 papers), Engineering Education and Pedagogy (3 papers) and Advanced Multi-Objective Optimization Algorithms (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (1.1k citations), Environmental Engineering (381 citations), Safety, Risk, Reliability and Quality (236 citations), Civil and Structural Engineering (521 citations) and Computational Theory and Mathematics (283 citations). F.J. Davis has collaborated with scholars based in United States, Ghana and United Kingdom. Frequent co-authors include J.C. Helton, Jay Johnson, Emily M. Hunt, Michelle L. Pantoya, Peter Reinhardt, Yassin A. Hassan, Peter J. Hughes and L. M. Smith. Their work appears in journals such as Reliability Engineering & System Safety, Health Physics, SAE technical papers on CD-ROM/SAE technical paper series, Risk Analysis and Nuclear Technology.

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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