R. Craig McClung

2.7k citations
76 papers · 1.9k indexed · h-index 22

R. Craig McClung

74 papers receiving 1.8k citations

Peers

R. Craig McClung
Comparison fields: 5 of 53
  • Mechanics of Materials 1.5k
  • Statistics, Probability and Uncertainty 321
  • Metals and Alloys 94
  • Mechanical Engineering 1.1k
  • Civil and Structural Engineering 355
Replace L. Molent with:
L. Molent Australia
Т. Łagoda Poland
Run‐Zi Wang China
R. G. Forman United States
Ayhan Ince Canada
Yung–Li Lee United States
R.A. Ainsworth United Kingdom
Adam Niesłony Poland
Masaki SHIRATORI Japan
Lintao Yang China
R. Craig McClung relative to L. Molent Australia L. Molent's profile →
Citations per field
00.5×1.5×
L. Molent · 1×
Citations per year

Countries citing papers authored by R. Craig McClung

Since Specialization
Citations

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

Fields of papers citing papers by R. Craig McClung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Craig McClung. 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 R. Craig McClung. The network helps show where R. Craig McClung may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20230
2 20163
3
A J estimation scheme and its application to low cycle fatigue crack growth
20131
4 20124
5 201114
6
DEVELOPMENT OF A PROBABILISTIC DESIGN SYSTEM FOR GAS TURBINE ROTOR INTEGRITY
20091
7 2007267
8 200430
9 200430
10 200320
11
Advances in fatigue crack closure measurement and analysis: Second volume. ASTM special technical publication 1343
19994
12 199610
13 199323
14 19931
15 199234
16 1991102
17 199131
18 1991108
19 199112
20
The Nessus Software System for Probabilistic Structural Analysis
199010

About R. Craig McClung

R. Craig McClung is a scholar working on Statistics, Probability and Uncertainty, Mechanics of Materials and Mechanical Engineering, having authored 76 papers that have together received 1.9k indexed citations. Recurring topics across this work include Fatigue and fracture mechanics (62 papers), Probabilistic and Robust Engineering Design (24 papers), High Temperature Alloys and Creep (18 papers), Non-Destructive Testing Techniques (10 papers), Mechanical Failure Analysis and Simulation (7 papers), Mechanical stress and fatigue analysis (6 papers), Structural Load-Bearing Analysis (6 papers) and Engineering Structural Analysis Methods (6 papers). The work is most often cited by research in Mechanics of Materials (1.5k citations), Statistics, Probability and Uncertainty (321 citations) and Metals and Alloys (94 citations). R. Craig McClung has collaborated with scholars based in United States. Frequent co-authors include Hüseyin Şehitoğlu, Michael P. Enright, Harry Millwater, D. L. Davidson, Ben Thacker, J. C. Newman, Satyaki Roy, G. R. Leverant, M. P. Enright and G. G. Chell.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026