Julian J. Bommer

19.9k total citations · 9 hit papers
194 papers, 15.5k citations indexed

About

Julian J. Bommer is a scholar working on Civil and Structural Engineering, Geophysics and Management, Monitoring, Policy and Law. According to data from OpenAlex, Julian J. Bommer has authored 194 papers receiving a total of 15.5k indexed citations (citations by other indexed papers that have themselves been cited), including 151 papers in Civil and Structural Engineering, 101 papers in Geophysics and 13 papers in Management, Monitoring, Policy and Law. Recurrent topics in Julian J. Bommer's work include Seismic Performance and Analysis (142 papers), Structural Health Monitoring Techniques (68 papers) and earthquake and tectonic studies (63 papers). Julian J. Bommer is often cited by papers focused on Seismic Performance and Analysis (142 papers), Structural Health Monitoring Techniques (68 papers) and earthquake and tectonic studies (63 papers). Julian J. Bommer collaborates with scholars based in United Kingdom, United States and Italy. Julian J. Bommer's co-authors include Sinan Akkar, Helen Crowley, Peter J. Stafford, Norman Abrahamson, Jonathan Hancock, Frank Scherbaum, Fleur O. Strasser, Rui Pinho, David M. Boore and N. N. Ambraseys and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physics Letters B and Geophysical Journal International.

In The Last Decade

Julian J. Bommer

191 papers receiving 14.4k citations

Hit Papers

PREDICTION OF HORIZONTAL RESPONSE SPECTRA IN EUROPE 1996 2026 2006 2016 1996 2007 2004 2010 2010 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. PREDICTION OF HORIZONTAL RESPONSE SPECTRA IN EUROPE
    1996 598 citations Julian J. Bommer et al. profile →
  2. Induced seismicity associated with Enhanced Geothermal Systems
    2007 583 citations Julian J. Bommer et al. profile →
  3. Processing of strong-motion accelerograms: needs, options and consequences
    2004 564 citations David M. Boore, Julian J. Bommer profile →
  4. Empirical Equations for the Prediction of PGA, PGV, and Spectral Accelerations in Europe, the Mediterranean Region, and the Middle East
    2010 542 citations Sinan Akkar, Julian J. Bommer profile →
  5. The Variability of Ground-Motion Prediction Models and Its Components
    2010 506 citations Linda Al Atik, Julian J. Bommer et al. profile →
  6. AN IMPROVED METHOD OF MATCHING RESPONSE SPECTRA OF RECORDED EARTHQUAKE GROUND MOTION USING WAVELETS
    2006 456 citations Jonathan Hancock, Norman Abrahamson et al. profile →
  7. Empirical ground-motion models for point- and extended-source crustal earthquake scenarios in Europe and the Middle East
    2013 417 citations Sinan Akkar, Julian J. Bommer et al. profile →
  8. DEVELOPMENT OF SEISMIC VULNERABILITY ASSESSMENT METHODOLOGIES OVER THE PAST 30 YEARS
    2006 404 citations Gian Michele Calvi, Rui Pinho et al. profile →
  9. THE USE OF REAL EARTHQUAKE ACCELEROGRAMS AS INPUT TO DYNAMIC ANALYSIS
    2004 401 citations Julian J. Bommer et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julian J. Bommer United Kingdom 66 12.1k 8.1k 1.4k 1.0k 701 194 15.5k
David M. Boore United States 65 15.5k 1.3× 14.2k 1.7× 1.2k 0.8× 1.3k 1.3× 294 0.4× 179 20.0k
N. N. Ambraseys United Kingdom 52 4.9k 0.4× 8.7k 1.1× 1.0k 0.7× 936 0.9× 126 0.2× 176 12.5k
Katsuichiro Goda United Kingdom 47 5.1k 0.4× 2.5k 0.3× 371 0.3× 454 0.5× 432 0.6× 230 7.2k
David J. Wald United States 54 5.5k 0.5× 9.6k 1.2× 1.3k 1.0× 2.3k 2.3× 299 0.4× 192 12.8k
Fabrice Cotton Germany 54 5.8k 0.5× 8.0k 1.0× 840 0.6× 1.1k 1.1× 188 0.3× 227 9.9k
Brendon Bradley New Zealand 46 5.5k 0.5× 2.2k 0.3× 437 0.3× 242 0.2× 171 0.2× 242 6.6k
Arthur D. Frankel United States 45 4.0k 0.3× 7.2k 0.9× 471 0.3× 1.1k 1.1× 263 0.4× 158 8.6k
Domenico Giardini Switzerland 68 2.0k 0.2× 12.7k 1.6× 863 0.6× 1.4k 1.4× 460 0.7× 322 15.0k
J. R. Booker Australia 54 4.8k 0.4× 5.1k 0.6× 325 0.2× 499 0.5× 808 1.2× 232 12.1k
Pierre‐Yves Bard France 51 5.0k 0.4× 6.5k 0.8× 884 0.6× 621 0.6× 148 0.2× 158 8.1k

Countries citing papers authored by Julian J. Bommer

Since Specialization
Citations

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

Fields of papers citing papers by Julian J. Bommer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julian J. Bommer. 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 Julian J. Bommer. The network helps show where Julian J. Bommer may publish in the future.

Co-authorship network of co-authors of Julian J. Bommer

This figure shows the co-authorship network connecting the top 25 collaborators of Julian J. Bommer. A scholar is included among the top collaborators of Julian J. Bommer 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 Julian J. Bommer. Julian J. Bommer 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.
Bommer, Julian J. & James P. Verdon. (2024). The maximum magnitude of natural and induced earthquakes. Geomechanics and Geophysics for Geo-Energy and Geo-Resources. 10(1). 4 indexed citations
2.
Kruiver, Pauline P., Julian J. Bommer, Elmer Ruigrok, et al.. (2022). A database of ground motion recordings, site profiles, and amplification factors from the Groningen gas field in the Netherlands. Earthquake Spectra. 39(1). 687–701. 6 indexed citations
3.
4.
Boore, David M., Robert Youngs, Albert Kottke, et al.. (2022). Construction of a Ground-Motion Logic Tree through Host-to-Target Region Adjustments Applied to an Adaptable Ground-Motion Prediction Model. Bulletin of the Seismological Society of America. 112(6). 3063–3080. 7 indexed citations
5.
Ruigrok, Elmer, Adrián Rodríguez-Marek, Benjamin Edwards, et al.. (2022). Derivation of a near-surface damping model for the Groningen gas field. Geophysical Journal International. 230(2). 776–795. 7 indexed citations
6.
Green, Russell A. & Julian J. Bommer. (2020). RESPONSE TO Discussion of “What is the smallest earthquake magnitude that needs to be considered in assessing liquefaction hazard?” by Roger MW Musson. Earthquake Spectra. 36(1). 455–457. 4 indexed citations
7.
Rodríguez-Marek, Adrián, et al.. (2020). Capturing epistemic uncertainty in site response. Earthquake Spectra. 37(2). 921–936. 34 indexed citations
8.
Elk, Jan van, et al.. (2019). A Probabilistic Model to Evaluate Options for Mitigating Induced Seismic Risk. Earthquake Spectra. 35(2). 537–564. 53 indexed citations
9.
Green, Russell A. & Julian J. Bommer. (2019). What is the Smallest Earthquake Magnitude that Needs to be Considered in Assessing Liquefaction Hazard?. Earthquake Spectra. 35(3). 1441–1464. 54 indexed citations
10.
11.
Bommer, Julian J., Peter J. Stafford, Benjamin Edwards, et al.. (2017). Framework for a Ground‐Motion Model for Induced Seismic Hazard and Risk Analysis in the Groningen Gas Field, The Netherlands. Earthquake Spectra. 33(2). 481–498. 67 indexed citations
12.
Bommer, Julian J., Kevin J. Coppersmith, Kathryn L. Hanson, et al.. (2013). A SSHAC Level 3 Probabilistic Seismic Hazard Analysis for a New‐Build Nuclear Site in South Africa. Earthquake Spectra. 31(2). 661–698. 74 indexed citations
13.
Bommer, Julian J. & Sinan Akkar. (2012). Consistent Source‐to‐Site Distance Metrics in Ground‐Motion Prediction Equations and Seismic Source Models for PSHA. Earthquake Spectra. 28(1). 1–15. 62 indexed citations
14.
Bommer, Julian J.. (2012). Challenges of Building Logic Trees for Probabilistic Seismic Hazard Analysis. Earthquake Spectra. 28(4). 1723–1735. 82 indexed citations
15.
Bal, İhsan Engin, Julian J. Bommer, Peter J. Stafford, Helen Crowley, & Rui Pinho. (2010). The Influence of Geographical Resolution of Urban Exposure Data in an Earthquake Loss Model for Istanbul. Earthquake Spectra. 26(3). 619–634. 47 indexed citations
16.
Bommer, Julian J. & Frank Scherbaum. (2008). The Use and Misuse of Logic Trees in Probabilistic Seismic Hazard Analysis. Earthquake Spectra. 24(4). 997–1009. 177 indexed citations
17.
Bommer, Julian J., et al.. (2008). Probabilistic seismic hazard analysis for rock sites in the cities of Abu Dhabi, Dubai and Ra's Al Khaymah, United Arab Emirates. Georisk Assessment and Management of Risk for Engineered Systems and Geohazards. 3(1). 1–29. 44 indexed citations
18.
Grant, Damian, Julian J. Bommer, Rui Pinho, et al.. (2007). A Prioritization Scheme for Seismic Intervention in School Buildings in Italy. Earthquake Spectra. 23(2). 291–314. 75 indexed citations
19.
Hancock, Jonathan & Julian J. Bommer. (2006). A State‐of‐Knowledge Review of the Influence of Strong‐Motion Duration on Structural Damage. Earthquake Spectra. 22(3). 827–845. 215 indexed citations
20.
Abrahamson, Norman & Julian J. Bommer. (2005). Probability and Uncertainty in Seismic Hazard Analysis. Earthquake Spectra. 21(2). 603–607. 160 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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