James E. Warner

647 citations
33 papers · 388 indexed · h-index 10

James E. Warner

32 papers receiving 381 citations

Peers

James E. Warner
Comparison fields: 5 of 61
  • Statistics, Probability and Uncertainty 134
  • Civil and Structural Engineering 151
  • Metals and Alloys 15
  • Mechanics of Materials 112
  • Computational Theory and Mathematics 49
Replace Geoffrey Bomarito with:
Geoffrey Bomarito United States
Amélie Fau France
Patrick E. Leser United States
Silvana M. B. Afonso Brazil
Arinan Dourado United States
Anna Kučerová Czechia
Chuang Xiong China
Asme
Yuxi Xie United States
Aldemir Ap Cavalini Brazil
James E. Warner relative to Geoffrey Bomarito United States Geoffrey Bomarito's profile →
Citations per field
00.5×3.1×
Geoffrey Bomarito · 1×
Citations per year

Countries citing papers authored by James E. Warner

Since Specialization
Citations

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

Fields of papers citing papers by James E. Warner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James E. Warner. 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 James E. Warner. The network helps show where James E. Warner may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20245
3 20226
4 20222
5 202110
6 20214
7 202112
8 20206
9 20181
10 20184
11
Stochastic Reduced Order Models with Python (SROMPy)
20187
12 20164
13 20163
14 201647
15 201522
16 201425
17 201430
18 20131
19 201326
20 201238

About James E. Warner

James E. Warner is a scholar working on Statistics, Probability and Uncertainty, Civil and Structural Engineering, Metals and Alloys, Mechanics of Materials and Computational Theory and Mathematics, having authored 33 papers that have together received 388 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (18 papers), Structural Health Monitoring Techniques (13 papers), Fatigue and fracture mechanics (6 papers), Ultrasonics and Acoustic Wave Propagation (5 papers), Advanced Multi-Objective Optimization Algorithms (4 papers), Non-Destructive Testing Techniques (4 papers), Topology Optimization in Engineering (3 papers) and Aerospace and Aviation Technology (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (134 citations), Civil and Structural Engineering (151 citations), Metals and Alloys (15 citations), Mechanics of Materials (112 citations) and Computational Theory and Mathematics (49 citations). James E. Warner has collaborated with scholars based in United States, Germany and Ghana. Frequent co-authors include Wilkins Aquino, Mircea Grigoriu, William P. Leser, Jacob Hochhalter, Patrick E. Leser, John A. Newman, Geoffrey Bomarito, Fuh‐Gwo Yuan, Paul A. Wawrzynek and Marc Bonnet. Their work appears in journals such as Corrosion Science, Computational Mechanics, Probabilistic Engineering Mechanics, International Journal of Fracture and Engineering Fracture Mechanics.

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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