John M. McFarland

677 total citations
10 papers, 372 citations indexed

About

John M. McFarland is a scholar working on Statistics, Probability and Uncertainty, Computational Theory and Mathematics and Mechanics of Materials. According to data from OpenAlex, John M. McFarland has authored 10 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Statistics, Probability and Uncertainty, 4 papers in Computational Theory and Mathematics and 3 papers in Mechanics of Materials. Recurrent topics in John M. McFarland's work include Probabilistic and Robust Engineering Design (7 papers), Advanced Multi-Objective Optimization Algorithms (4 papers) and Reliability and Maintenance Optimization (3 papers). John M. McFarland is often cited by papers focused on Probabilistic and Robust Engineering Design (7 papers), Advanced Multi-Objective Optimization Algorithms (4 papers) and Reliability and Maintenance Optimization (3 papers). John M. McFarland collaborates with scholars based in United States and South Korea. John M. McFarland's co-authors include Barron Bichon, Sankaran Mahadevan, Michael Eldred, Alan P. Morris, David A. Ferrill, Todd L. Bredbenner, Daniel P. Nicolella, Andrew C. Merkle, David Říha and James C. Sobotka and has published in prestigious journals such as Reliability Engineering & System Safety, Computers & Geosciences and International Journal of Fracture.

In The Last Decade

John M. McFarland

10 papers receiving 360 citations

Peers

John M. McFarland
Comparison fields: 5 of 51
  • Statistics, Probability and Uncertainty 274
  • Computational Theory and Mathematics 144
  • Civil and Structural Engineering 102
  • Management Science and Operations Research 81
  • Mechanics of Materials 64
Replace Lijie Cui with:
Lijie Cui China
François Van Dorpe France
Jinsuo Nie United States
Mohammad Ali Barkhordari Iran
Hyunkyoo Cho South Korea
Kilian Zwirglmaier Germany
Étienne de Rocquigny France
Caiying Mi China
Xiaoxu Huang China
Lijie Cui China View profile →
Citations per field, relative to John M. McFarland
John M. McFarland · 1×
Citations per year, relative to John M. McFarland
John M. McFarland · 1×

Countries citing papers authored by John M. McFarland

Since Specialization
Citations

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

Fields of papers citing papers by John M. McFarland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John M. McFarland. 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 John M. McFarland. The network helps show where John M. McFarland may publish in the future.

Co-authorship network of co-authors of John M. McFarland

This figure shows the co-authorship network connecting the top 25 collaborators of John M. McFarland. A scholar is included among the top collaborators of John M. McFarland based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John M. McFarland. John M. McFarland is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
# Work Indexed citations
1 1
2 2
3 2
4 21
5 10
6 1
7 77
8 213
9 39
10
Uncertainty Quantification Methods for Helicopter Fatigue Reliability Analysis
6

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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