David Lange

1.5k citations
98 papers · 1.1k · h-index 17

Impact in

Papers in

David Lange

90 papers receiving 1.0k citations

Peers

David Lange
Comparison fields: 5 of 89
  • Safety, Risk, Reliability and Quality 470
  • Civil and Structural Engineering 593
  • Statistics, Probability and Uncertainty 159
  • Radiological and Ultrasound Technology 65
  • Building and Construction 184
Replace Dániel Honfí with:
Dániel Honfí Sweden
Ruben Van Coile Belgium
Thomas Gernay United States
Jochen Köhler Norway
José C. Matos Portugal
G. W. H. Silcock United Kingdom
Muhammad Masood Rafi Pakistan
Irina Stipanović Netherlands
Jung Sik Kong South Korea
Anthony Abu New Zealand
David Lange relative to Dániel Honfí Sweden Dániel Honfí's profile →
Citations per field
00.5×5.3×
Dániel Honfí · 1×
Citations per year

Countries citing papers authored by David Lange

Since Specialization
Citations

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

Fields of papers citing papers by David Lange

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018149
2 201474
3 201170
4 201866
5 201650
6 202048
7 202034
8 201731
9 201428
10 202228
11 201527
12 202125
13 202022
14 201821
15 202020
16 202218
17 202016
18 202015
19 201414
20 202014

About David Lange

David Lange is a scholar working on Civil and Structural Engineering, Safety, Risk, Reliability and Quality, Statistics, Probability and Uncertainty, Radiological and Ultrasound Technology and Building and Construction, having authored 98 papers that have together received 1.1k indexed citations. Recurring topics across this work include Fire dynamics and safety research (41 papers), Fire effects on concrete materials (34 papers), Structural Response to Dynamic Loads (24 papers), Risk and Safety Analysis (20 papers), Infrastructure Resilience and Vulnerability Analysis (15 papers), Occupational Health and Safety Research (10 papers), Probabilistic and Robust Engineering Design (8 papers) and Fire effects on ecosystems (8 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (470 citations), Civil and Structural Engineering (593 citations), Statistics, Probability and Uncertainty (159 citations), Radiological and Ultrasound Technology (65 citations) and Building and Construction (184 citations). David Lange has collaborated with scholars based in Australia, United Kingdom and Sweden. Frequent co-authors include Asif Usmani, Dániel Honfí, David Rush, Johan Sjöström, Ruben Van Coile, Juan P. Hidalgo, José L. Torero, Marcin Kozłowski, Danny Hopkin and Filipe Santos. Their work appears in journals such as Fire Safety Journal, Fire Technology, Construction and Building Materials, Engineering Structures and Journal of Building Engineering.

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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