Natt Leelawat

1.1k total citations
71 papers, 723 citations indexed

About

Natt Leelawat is a scholar working on Sociology and Political Science, Civil and Structural Engineering and Global and Planetary Change. According to data from OpenAlex, Natt Leelawat has authored 71 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Sociology and Political Science, 15 papers in Civil and Structural Engineering and 15 papers in Global and Planetary Change. Recurrent topics in Natt Leelawat's work include Disaster Management and Resilience (21 papers), earthquake and tectonic studies (14 papers) and Earthquake and Tsunami Effects (11 papers). Natt Leelawat is often cited by papers focused on Disaster Management and Resilience (21 papers), earthquake and tectonic studies (14 papers) and Earthquake and Tsunami Effects (11 papers). Natt Leelawat collaborates with scholars based in Thailand, Japan and United Kingdom. Natt Leelawat's co-authors include Fumihiko Imamura, Anawat Suppasri, Jing Tang, Panon Latcharote, Akira Kodaka, Kei Yamashita, Ingrid Charvet, Chatpan Chintanapakdee, Volker Roeber and Akihiro HAYASHI and has published in prestigious journals such as IEEE Access, Sustainability and Geological Society London Special Publications.

In The Last Decade

Natt Leelawat

62 papers receiving 622 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Natt Leelawat Thailand	15	242	163	153	104	103	71	723
Gianluca Pescaroli United Kingdom	18	604 2.5×	67 0.4×	455 3.0×	89 0.9×	78 0.8×	37	1.2k
Yoshio Kajitani Japan	14	357 1.5×	61 0.4×	401 2.6×	43 0.4×	49 0.5×	61	995
Sonia Giovinazzi New Zealand	19	308 1.3×	208 1.3×	1.2k 7.7×	50 0.5×	60 0.6×	92	1.6k
Neysa J. Setiadi Germany	12	457 1.9×	74 0.5×	99 0.6×	142 1.4×	22 0.2×	20	869
Sergio Molina Spain	16	112 0.5×	641 3.9×	418 2.7×	59 0.6×	136 1.3×	54	1.1k
Mehedi Ahmed Ansary Bangladesh	13	120 0.5×	107 0.7×	317 2.1×	41 0.4×	36 0.3×	74	625
Kambod Amini Hosseini Iran	18	319 1.3×	140 0.9×	378 2.5×	77 0.7×	43 0.4×	50	884
James D. Goltz United States	17	615 2.5×	282 1.7×	306 2.0×	76 0.7×	227 2.2×	41	1.2k
Scira Menoni Italy	15	321 1.3×	27 0.2×	185 1.2×	159 1.5×	22 0.2×	51	764
Rina Suryani Oktari Indonesia	17	400 1.7×	30 0.2×	47 0.3×	23 0.2×	47 0.5×	61	798

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

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20 of 20 papers shown

Leelawat, Natt, et al.. (2025). Harnessing generative AI for enhanced disaster management: a systematic review. Big Earth Data. 9(4). 651–675. 1 indexed citations

Leelawat, Natt, et al.. (2025). A systematic review and bibliometric analysis of the impacts of COVID-19 on economy and mobility from the geospatial data perspective. Results in Engineering. 26. 105282–105282. 1 indexed citations

Suppasri, Anawat, et al.. (2025). Disaster management in a shrinking society: The 2024 Noto Peninsula Earthquake's holiday shutdown, challenges and lessons learned. International Journal of Disaster Risk Reduction. 125. 105582–105582.

Leelawat, Natt, et al.. (2024). The 2021 Tropical Storm Dianmu in Thailand: Disaster Responses and Roles of Information Technology. Journal of Disaster Research. 19(4). 645–655.

Tang, Jing, et al.. (2023). The 2022 Rayong Oil Spill Crisis in Thailand: An Identification for Reliability and Nearly-Real Time Data using Twitter. 957. 118–122. 1 indexed citations

Kodaka, Akira, et al.. (2023). Status of Industrial Complex Activity Explained by Air Quality: Central Thailand. 6. 123–126. 2 indexed citations

Phaal, Robert, et al.. (2023). Strategic Roadmapping Framework for Disaster Response: Case of COVID-19 Pandemic Vaccine Rollout Program in the UK. Journal of Disaster Research. 18(1). 11–20. 2 indexed citations

Leelawat, Natt, et al.. (2022). Consequences of COVID-19 on Health, Economy, and Tourism in Asia: A Systematic Review. Sustainability. 14(8). 4624–4624. 11 indexed citations

Leelawat, Natt, et al.. (2022). Tele Health Self-Management (THSM) Innovation for Patients with COVID-19: A Conceptual Design. Journal of Disaster Research. 17(7). 1158–1164. 1 indexed citations

10.

Leelawat, Natt, et al.. (2021). The 2011 Great East Japan Earthquake and Tsunami: A Message from Japan to Thailand. Journal of Disaster Research. 16(6). 908–913. 1 indexed citations

11.

Leelawat, Natt, Jing Tang, Anawat Suppasri, et al.. (2021). Predictive Analysis of the Building Damage From the 2011 Great East Japan Tsunami Using Decision Tree Classification Related Algorithms. IEEE Access. 9. 31065–31077. 8 indexed citations

12.

Leelawat, Natt, et al.. (2020). Antecedents of the Outsourcing Relationship: A Systematic Review. Engineering Journal. 24(4). 157–169. 2 indexed citations

13.

Suppasri, Anawat, et al.. (2020). Investigating beach erosion related with tsunami sediment transport at Phra Thong Island, Thailand, caused by the 2004 Indian Ocean tsunami. Natural hazards and earth system sciences. 20(10). 2823–2841. 10 indexed citations

14.

Suppasri, Anawat, Kwanchai Pakoksung, Ingrid Charvet, et al.. (2019). Load-resistance analysis: an alternative approach to tsunami damage assessment applied to the 2011 Great East Japan tsunami. Natural hazards and earth system sciences. 19(8). 1807–1822. 17 indexed citations

15.

Suppasri, Anawat, et al.. (2019). Investigating beach erosion related with its recovery at Phra Thong Island, Thailand caused by the 2004 Indian Ocean tsunami. 3 indexed citations

16.

Leelawat, Natt, et al.. (2019). An effect of tsunami to hotel occupancy: A case of Phuket, Thailand. IOP Conference Series Earth and Environmental Science. 273(1). 12033–12033. 7 indexed citations

17.

Suppasri, Anawat, et al.. (2018). Developing fragility functions for aquaculture rafts and eelgrass in the case of the 2011 Great East Japan tsunami. Natural hazards and earth system sciences. 18(1). 145–155. 23 indexed citations

18.

Suppasri, Anawat, et al.. (2017). A global assessment of tsunami hazards over the last 400 years. Japan Geoscience Union. 2 indexed citations

19.

Leelawat, Natt, et al.. (2017). Tsunami evacuation experiment using a mobile application: A design science approach. International Journal of Disaster Risk Reduction. 29. 63–72. 22 indexed citations

20.

Leelawat, Natt, et al.. (2015). A Study on Influential Factors on Building Damage in Kesennuma, Japan from the 2011 Great East Japan Tsunami. Engineering Journal. 19(3). 105–116. 5 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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