Keith Dalbey

19 papers receiving 352 citations

Peers

Keith Dalbey
Comparison fields: 5 of 64
  • Management, Monitoring, Policy and Law 119
  • Statistics, Probability and Uncertainty 64
  • Geophysics 108
  • Atmospheric Science 72
  • Environmental Engineering 51
Replace Laércio Massaru Namikawa with:
Laércio Massaru Namikawa Brazil
Marc de la Asunción Spain
Maria Vittoria Avolio Italy
Alexandre Brouste‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌‌ France
Alfredo Garbuno-Iñigo United States
Thomas Ulrich Germany
Michael W. Davis United States
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Citations per field
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Citations per year

Countries citing papers authored by Keith Dalbey

Since Specialization
Citations

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

Fields of papers citing papers by Keith Dalbey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keith Dalbey. 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 Keith Dalbey. The network helps show where Keith Dalbey may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 200984
2 200870
3 200954
4 200134
5 201224
6 200820
7 201014
8 201013
9 200411
10
Input Uncertainty Propagation Methods and Hazard Mapping of Geophysical Mass Flows
200610
11 201410
12 20137
13 20165
14
DEM uncertainty and hazard analysis using a geophysical flow model
20105
15 20114
16
Dakota Sensitivity Analysis and Uncertainty Quantification with Examples.
20152
17
Computer Mapping of Pyroclastic Flow Inundation Probability: Application to the August 2006 Flows at Tungurahua, Ecuador
20071
18 20101
19 20051
20 20060

About Keith Dalbey

Keith Dalbey is a scholar working on Management, Monitoring, Policy and Law, Civil and Structural Engineering, Statistics, Probability and Uncertainty, Environmental Engineering and Management Science and Operations Research, having authored 20 papers that have together received 370 indexed citations. Recurring topics across this work include Landslides and related hazards (8 papers), Probabilistic and Robust Engineering Design (6 papers), Flood Risk Assessment and Management (3 papers), Optimal Experimental Design Methods (3 papers), Structural Response to Dynamic Loads (2 papers), Wind and Air Flow Studies (2 papers), Risk and Safety Analysis (2 papers) and Dam Engineering and Safety (2 papers). The work is most often cited by research in Management, Monitoring, Policy and Law (119 citations), Statistics, Probability and Uncertainty (64 citations), Geophysics (108 citations), Atmospheric Science (72 citations) and Environmental Engineering (51 citations). Keith Dalbey has collaborated with scholars based in United States, Greece and New Zealand. Frequent co-authors include Abani Patra, E. Bruce Pitman, M. F. Sheridan, Marcus Bursik, Simon Lunagómez, Elaine T. Spiller, Robert L. Wolpert, George N. Karystinos, James O. Berger and Eliza S. Calder. Their work appears in journals such as International Journal for Uncertainty Quantification, Natural Hazards, Journal of Geophysical Research Atmospheres, Journal of Propulsion and Power and SAE technical papers on CD-ROM/SAE technical paper series.

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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