Jon D. Collins

898 citations
23 papers · 707 · h-index 8

Impact in

Papers in

Jon D. Collins

23 papers receiving 642 citations

Peers

Jon D. Collins
Comparison fields: 5 of 61
  • Statistics, Probability and Uncertainty 348
  • Civil and Structural Engineering 587
  • Mechanics of Materials 134
  • Control and Systems Engineering 85
  • Mechanical Engineering 125
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J. L. Beck Hong Kong
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N. Impollonia Italy
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Citations per year

Countries citing papers authored by Jon D. Collins

Since Specialization
Citations

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

Fields of papers citing papers by Jon D. Collins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon D. Collins. 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 Jon D. Collins. The network helps show where Jon D. Collins may publish in the future.

Co-authors

The 7 scholars most cited alongside Jon D. Collins, 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 Jon D. Collins Line = papers co-authored together Jon D. Collins links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1974375
2 1969163
3 197160
4 197030
5 197717
6 19718
7
Methods and application of system identification in shock and vibration.
19727
8 19777
9 19886
10 19715
11 19765
12
Bending vibrational data accuracy study
19704
13
Surface structure of wheat and its contribution to the dust problem.
19704
14
Model optimization using statistical estimation
19743
15
A General Methodology for Analysis of Risks from Falling Debris
20052
16 19772
17 19692
18
Structural model optimization using statistical evaluation
19722
19
Statistical Estimations of Geological Material Model Parameters from In-Situ Test Data
19791
20 19721

About Jon D. Collins

Jon D. Collins is a scholar working on Civil and Structural Engineering, Statistics, Probability and Uncertainty, Aerospace Engineering, Mechanics of Materials and Political Science and International Relations, having authored 23 papers that have together received 707 indexed citations. Recurring topics across this work include Structural Health Monitoring Techniques (7 papers), Probabilistic and Robust Engineering Design (5 papers), Risk and Safety Analysis (3 papers), Bladed Disk Vibration Dynamics (3 papers), Infrastructure Resilience and Vulnerability Analysis (2 papers), Nuclear Issues and Defense (2 papers), Energetic Materials and Combustion (2 papers) and Soil Geostatistics and Mapping (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (348 citations), Civil and Structural Engineering (587 citations), Mechanics of Materials (134 citations), Control and Systems Engineering (85 citations) and Mechanical Engineering (125 citations). Jon D. Collins has collaborated with scholars based in United States and Chile. Frequent co-authors include Gary C. Hart, Bruce Kennedy, T. K. Hasselman, Walter C. Hurty, Erik Larson, Daina H. Simmonds and James M. Hudson. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Journal of Spacecraft and Rockets, AIAA Journal, Bulletin of the Seismological Society of America and Computers & Structures.

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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