Natt Leelawat

1.1k citations
71 papers · 723 indexed · h-index 15
Topics
Disaster Management and Resilience (21 papers)earthquake and tectonic studies (14 papers)Earthquake and Tsunami Effects (11 papers)

In The Last Decade

Natt Leelawat

62 papers receiving 622 citations

Peers

Natt Leelawat
Comparison fields: 5 of 108
  • Sociology and Political Science 242
  • Geophysics 163
  • Civil and Structural Engineering 153
  • Atmospheric Science 104
  • Artificial Intelligence 103
Replace Yoshio Kajitani with:
Yoshio Kajitani Japan
Gianluca Pescaroli United Kingdom
Neysa J. Setiadi Germany
Nishara Fernando Sri Lanka
Scira Menoni Italy
Sonia Giovinazzi New Zealand
Charlotte Brown New Zealand
Gene Whitney United States
Jasper Verschuur United Kingdom
Kambod Amini Hosseini Iran
Natt Leelawat relative to Yoshio Kajitani Japan Yoshio Kajitani's profile →
Citations per field
00.5×2.7×
Yoshio Kajitani · 1×
Citations per year

Countries citing papers authored by Natt Leelawat

Since Specialization
Citations

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

Fields of papers citing papers by Natt Leelawat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natt Leelawat

This figure shows the co-authorship network connecting the top 25 collaborators of Natt Leelawat. A scholar is included among the top collaborators of Natt Leelawat 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 Natt Leelawat. Natt Leelawat 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
#WorkIndexed citations
1 1
2 1
3 0
4 0
5 0
6 4
7 2
8 1
9 2
10 11
11 1
12 73
13 8
14 1
15 26
16 2
17 17
18 23
19
A global assessment of tsunami hazards over the last 400 years
2
20 5

About Natt Leelawat

Natt Leelawat is a scholar working on Modeling and Simulation, Geophysics and Transportation, having authored 71 papers that have together received 723 indexed citations. Recurring topics across this work include Disaster Management and Resilience (21 papers), earthquake and tectonic studies (14 papers) and Earthquake and Tsunami Effects (11 papers). The work is most often cited by research in Geophysics (163 citations), Earth-Surface Processes (64 citations) and Modeling and Simulation (35 citations). Natt Leelawat has collaborated with scholars based in Thailand, Japan and United Kingdom. Frequent co-authors include Fumihiko Imamura, Anawat Suppasri, Jing Tang, Panon Latcharote, Akira Kodaka, Kei Yamashita, Chatpan Chintanapakdee, Ingrid Charvet, Akihiro HAYASHI and Volker Roeber. Their work appears in journals such as IEEE Access, Sustainability and Geological Society London Special Publications.

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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