John Douglas

8.1k total citations · 1 hit paper
184 papers, 6.0k citations indexed

About

John Douglas is a scholar working on Civil and Structural Engineering, Geophysics and Artificial Intelligence. According to data from OpenAlex, John Douglas has authored 184 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Civil and Structural Engineering, 74 papers in Geophysics and 14 papers in Artificial Intelligence. Recurrent topics in John Douglas's work include Seismic Performance and Analysis (109 papers), Structural Health Monitoring Techniques (71 papers) and Seismic Waves and Analysis (48 papers). John Douglas is often cited by papers focused on Seismic Performance and Analysis (109 papers), Structural Health Monitoring Techniques (71 papers) and Seismic Waves and Analysis (48 papers). John Douglas collaborates with scholars based in United Kingdom, France and United States. John Douglas's co-authors include N. N. Ambraseys, Patrick M. Smit, Pierre Gehl, S. K. Sarma, Benjamin Edwards, Hideo Aochi, Fabrice Cotton, Julian J. Bommer, H. Bungum and Darius Seyedi and has published in prestigious journals such as Nature, Academy of Management Review and The Science of The Total Environment.

In The Last Decade

John Douglas

170 papers receiving 5.6k citations

Hit Papers

Equations for the Estimation of Strong Ground Motions fro... 2005 2026 2012 2019 2005 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John Douglas United Kingdom 39 4.5k 3.4k 453 417 217 184 6.0k
Daniel T. Cox United States 43 2.1k 0.5× 952 0.3× 102 0.2× 181 0.4× 509 2.3× 206 5.0k
N. N. Ambraseys United Kingdom 52 4.9k 1.1× 8.7k 2.6× 1.0k 2.2× 936 2.2× 160 0.7× 176 12.5k
Katsuichiro Goda United Kingdom 47 5.1k 1.1× 2.5k 0.7× 371 0.8× 454 1.1× 386 1.8× 230 7.2k
Brendon Bradley New Zealand 46 5.5k 1.2× 2.2k 0.6× 437 1.0× 242 0.6× 116 0.5× 242 6.6k
Robert Graves United States 42 5.8k 1.3× 6.4k 1.9× 446 1.0× 657 1.6× 20 0.1× 147 9.3k
David J. Wald United States 54 5.5k 1.2× 9.6k 2.8× 1.3k 3.0× 2.3k 5.6× 573 2.6× 192 12.8k
Gottfried Grünthal Germany 28 1.9k 0.4× 2.9k 0.9× 331 0.7× 521 1.2× 266 1.2× 116 4.3k
Thomas H. Heaton United States 49 3.2k 0.7× 8.4k 2.5× 341 0.8× 3.0k 7.1× 72 0.3× 122 10.3k
Helen Crowley Italy 44 5.3k 1.2× 2.2k 0.6× 304 0.7× 436 1.0× 321 1.5× 112 6.4k
Thomas Wilson New Zealand 34 851 0.2× 752 0.2× 457 1.0× 189 0.5× 767 3.5× 163 3.7k

Countries citing papers authored by John Douglas

Since Specialization
Citations

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

Fields of papers citing papers by John Douglas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Douglas

This figure shows the co-authorship network connecting the top 25 collaborators of John Douglas. A scholar is included among the top collaborators of John Douglas 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 Douglas. John Douglas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Douglas, John, Helen Crowley, Vítor Silva, et al.. (2024). Methods for evaluating the significance and importance of differences amongst probabilistic seismic hazard results for engineering and risk analyses: a review and insights. Bulletin of Earthquake Engineering. 22(6). 2769–2796. 2 indexed citations
2.
Douglas, John, et al.. (2024). The assessment of probabilistic seismic risk using ground-motion simulations via a Monte Carlo approach. Natural Hazards. 120(7). 6833–6852. 2 indexed citations
3.
Liu, Jingwei & John Douglas. (2024). Comparison and selection of ground motion prediction equations for the Sichuan–Yunnan area, southwest China. Bulletin of Earthquake Engineering. 22(5). 2303–2328. 5 indexed citations
4.
Douglas, John, Helen Crowley, Vítor Silva, et al.. (2023). Methods for evaluating the significance and importance of differences amongst probabilistic seismic hazard results for engineering and risk analyses: A review and insights. Repository for Publications and Research Data (ETH Zurich). 1 indexed citations
5.
Azarbakht, Alireza, Hossein Ebrahimian, Fatemeh Jalayer, & John Douglas. (2022). Variations in hazard during earthquake sequences between 1995 and 2018 in western Greece as evaluated by a Bayesian ETAS model. Geophysical Journal International. 231(1). 27–46. 4 indexed citations
6.
7.
Azarbakht, Alireza & John Douglas. (2022). Variations in uniform hazard spectra and disaggregated scenarios during earthquake sequences. Bulletin of Earthquake Engineering. 21(1). 77–94.
8.
Azarbakht, Alireza, et al.. (2021). A decision-making approach for operational earthquake forecasting. International Journal of Disaster Risk Reduction. 66. 102591–102591. 4 indexed citations
9.
Douglas, John & Alireza Azarbakht. (2020). Cost–benefit analyses to assess the potential of Operational Earthquake Forecasting prior to a mainshock in Europe. Natural Hazards. 105(1). 293–311. 12 indexed citations
10.
Özel, Nurcan Meral, Öcal Necmioğlu, Semih Ergintav, et al.. (2016). New Directions in Seismic Hazard Assessment Through Focused Earth Observation in the MARmara SuperSITE - Project Achievements. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
11.
Gehl, Pierre, et al.. (2014). Investigating the Use of Record-to-Record Variability in Static Capacity Approaches. 1675–1684. 6 indexed citations
12.
Stewart, Jonathan P., John Douglas, Mohammad Javanbarg, et al.. (2013). Selection of Ground Motion Prediction Equations for the Global Earthquake Model. Earthquake Spectra. 31(1). 19–45. 118 indexed citations
13.
Gehl, Pierre, John Douglas, & Darius Seyedi. (2013). Influence of the Number of Dynamic Analyses on the Accuracy of Structural Response Estimates. Earthquake Spectra. 31(1). 97–113. 51 indexed citations
14.
Douglas, John, et al.. (2012). Confirmed records of the endangered Trout Cod 'Maccullochella macquariensis' from the Murray River at Gunbower Island, Victoria. The Victorian naturalist. 129(4). 152. 1 indexed citations
15.
Douglas, John, et al.. (2008). An Open Distributed Architecture for Sensor Networks for Risk Management. Sensors. 8(3). 1755–1773. 24 indexed citations
16.
Douglas, John, H. Bungum, & Frank Scherbaum. (2006). GROUND-MOTION PREDICTION EQUATIONS FOR SOUTHERN SPAIN AND SOUTHERN NORWAY OBTAINED USING THE COMPOSITE MODEL PERSPECTIVE. Journal of Earthquake Engineering. 10(1). 33–72. 17 indexed citations
17.
Ambraseys, N. N., Patrick M. Smit, John Douglas, et al.. (2004). Internet site for European strong-motion data. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 45(3). 113–129. 260 indexed citations
18.
Douglas, John. (1980). Tourists come to Sri Lanka.. 52(8). 585–586. 1 indexed citations
19.
Douglas, John. (1977). The Genius of Everyman (2): Learning Creativity.. Science News. 1 indexed citations
20.
Douglas, John. (1977). The Genius of Everyman (1): Discovering Creativity.. Science News. 1 indexed citations

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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