Lea Dasallas

494 total citations
9 papers, 322 citations indexed

About

Lea Dasallas is a scholar working on Atmospheric Science, Global and Planetary Change and Water Science and Technology. According to data from OpenAlex, Lea Dasallas has authored 9 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Atmospheric Science, 7 papers in Global and Planetary Change and 4 papers in Water Science and Technology. Recurrent topics in Lea Dasallas's work include Tropical and Extratropical Cyclones Research (8 papers), Flood Risk Assessment and Management (7 papers) and Hydrology and Watershed Management Studies (3 papers). Lea Dasallas is often cited by papers focused on Tropical and Extratropical Cyclones Research (8 papers), Flood Risk Assessment and Management (7 papers) and Hydrology and Watershed Management Studies (3 papers). Lea Dasallas collaborates with scholars based in South Korea, Philippines and Israel. Lea Dasallas's co-authors include Hyunuk An, Yeonsu Kim, Seungsoo Lee, Joy Santiago, John Kenneth Suarez, Lia Anne Gonzalo and Alfredo Mahar Francisco Lagmay and has published in prestigious journals such as Natural hazards and earth system sciences, Water and International Journal of Disaster Risk Reduction.

In The Last Decade

Lea Dasallas

9 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lea Dasallas South Korea	6	199	162	83	60	59	9	322
Rita Lammersen Netherlands	4	228 1.1×	101 0.6×	118 1.4×	26 0.4×	53 0.9×	6	310
Damon Owen United Kingdom	5	200 1.0×	132 0.8×	36 0.4×	43 0.7×	124 2.1×	7	302
Quentin Lequeux Netherlands	2	287 1.4×	133 0.8×	59 0.7×	121 2.0×	60 1.0×	2	389
Michelle A. Hummel United States	10	159 0.8×	112 0.7×	34 0.4×	105 1.8×	90 1.5×	32	368
F. Vinet France	7	337 1.7×	147 0.9×	72 0.9×	100 1.7×	37 0.6×	9	389
Hugo Winter United Kingdom	8	318 1.6×	180 1.1×	43 0.5×	67 1.1×	36 0.6×	11	427
Felício Cassalho Brazil	10	137 0.7×	94 0.6×	100 1.2×	19 0.3×	72 1.2×	28	287
Dazhi Xi United States	10	323 1.6×	357 2.2×	24 0.3×	52 0.9×	62 1.1×	22	465
Amélie Joly-Laugel United Kingdom	4	276 1.4×	171 1.1×	34 0.4×	68 1.1×	36 0.6×	5	376
Laurent Boissier France	9	409 2.1×	161 1.0×	96 1.2×	151 2.5×	36 0.6×	17	508

Countries citing papers authored by Lea Dasallas

Since Specialization

Citations

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

Fields of papers citing papers by Lea Dasallas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lea Dasallas

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

All Works

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9 of 9 papers shown

Dasallas, Lea, et al.. (2024). Development and Application of Technical Key Performance Indicators (KPIs) for Smart Water Cities (SWCs) Global Standards and Certification Schemes. Water. 16(5). 741–741. 5 indexed citations

Dasallas, Lea, Hyunuk An, & Seungsoo Lee. (2024). Providing solutions for data scarcity in urban flood modeling through sensitivity analysis and DEM modifications. Journal of Hydroinformatics. 26(2). 459–479. 4 indexed citations

Dasallas, Lea, Hyunuk An, & Seungsoo Lee. (2023). Developing synthetic sewer pipe system for data-scarce domains in application for urban flood modeling. Hydrology research. 54(11). 1387–1406. 4 indexed citations

Dasallas, Lea, Hyunuk An, & Seungsoo Lee. (2022). Developing an integrated multiscale rainfall-runoff and inundation model: Application to an extreme rainfall event in Marikina-Pasig River Basin, Philippines. Journal of Hydrology Regional Studies. 39. 100995–100995. 12 indexed citations

Dasallas, Lea, Yeonsu Kim, & Hyunuk An. (2019). Case Study of HEC-RAS 1D–2D Coupling Simulation: 2002 Baeksan Flood Event in Korea. Water. 11(10). 2048–2048. 96 indexed citations

Dasallas, Lea & Seungsoo Lee. (2019). Topographical Analysis of the 2013 Typhoon Haiyan Storm Surge Flooding by Combining the JMA Storm Surge Model and the FLO-2D Flood Inundation Model. Water. 11(1). 144–144. 15 indexed citations

Dasallas, Lea, et al.. (2015). Identification of storm surge vulnerable areas in the Philippines through the simulation of Typhoon Haiyan-induced storm surge levels over historical storm tracks. Natural hazards and earth system sciences. 15(7). 1473–1481. 38 indexed citations

Dasallas, Lea, et al.. (2015). Probabilistic storm surge inundation maps for Metro Manila based on Philippine public storm warning signals. Natural hazards and earth system sciences. 15(3). 557–570. 6 indexed citations

Lagmay, Alfredo Mahar Francisco, et al.. (2014). Devastating storm surges of Typhoon Haiyan. International Journal of Disaster Risk Reduction. 11. 1–12. 142 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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