Eusébio Reis

1.4k total citations
39 papers, 957 citations indexed

About

Eusébio Reis is a scholar working on Global and Planetary Change, Water Science and Technology and Ecology. According to data from OpenAlex, Eusébio Reis has authored 39 papers receiving a total of 957 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Global and Planetary Change, 12 papers in Water Science and Technology and 9 papers in Ecology. Recurrent topics in Eusébio Reis's work include Flood Risk Assessment and Management (23 papers), Hydrology and Watershed Management Studies (11 papers) and Hydrology and Sediment Transport Processes (7 papers). Eusébio Reis is often cited by papers focused on Flood Risk Assessment and Management (23 papers), Hydrology and Watershed Management Studies (11 papers) and Hydrology and Sediment Transport Processes (7 papers). Eusébio Reis collaborates with scholars based in Portugal, United Kingdom and Netherlands. Eusébio Reis's co-authors include José Luı́s Zêzere, Ricardo A. C. Garcia, Sérgio C. Oliveira, Susana Pereira, Bruno M. Meneses, Pedro Pinto Santos, Rui Reis, Tibor Stigter, Luı́s Ribeiro and Amélia Carvalho Dill and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Environmental Management.

In The Last Decade

Eusébio Reis

37 papers receiving 934 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eusébio Reis Portugal 18 630 374 213 151 124 39 957
Laura Turconi Italy 22 810 1.3× 691 1.8× 168 0.8× 384 2.5× 103 0.8× 62 1.3k
Fabio Luino Italy 22 858 1.4× 664 1.8× 177 0.8× 376 2.5× 97 0.8× 58 1.3k
Malcolm G. Anderson United Kingdom 16 435 0.7× 382 1.0× 324 1.5× 143 0.9× 136 1.1× 48 984
Muhammad Shafique Pakistan 17 506 0.8× 589 1.6× 136 0.6× 208 1.4× 232 1.9× 56 1.1k
Loredana Antronico Italy 17 312 0.5× 515 1.4× 152 0.7× 209 1.4× 75 0.6× 32 968
Hamidreza Moradi Iran 11 655 1.0× 424 1.1× 244 1.1× 149 1.0× 199 1.6× 18 926
Lamek Nahayo China 17 451 0.7× 248 0.7× 233 1.1× 117 0.8× 186 1.5× 31 922
Giuseppe Formetta Italy 19 601 1.0× 229 0.6× 432 2.0× 314 2.1× 168 1.4× 53 1.0k
Masato Kobiyama Brazil 15 410 0.7× 213 0.6× 410 1.9× 102 0.7× 142 1.1× 143 936
Richard Mind’je China 14 347 0.6× 248 0.7× 158 0.7× 130 0.9× 96 0.8× 38 594

Countries citing papers authored by Eusébio Reis

Since Specialization
Citations

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

Fields of papers citing papers by Eusébio Reis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eusébio Reis

This figure shows the co-authorship network connecting the top 25 collaborators of Eusébio Reis. A scholar is included among the top collaborators of Eusébio Reis 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 Eusébio Reis. Eusébio Reis 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.
Fragoso, Marcelo, et al.. (2025). Rainfall analysis in mountain streams affected by torrential floods on Madeira Island, Portugal. Natural hazards and earth system sciences. 25(9). 3109–3123.
2.
Ferreira, Tiago Miguel, Pedro Pinto Santos, Susana Pereira, et al.. (2023). On the Seismic Vulnerability Assessment of Urban Areas Using Census Data: The Lisbon Metropolitan Area as a Pilot Study Area. Journal of Earthquake Engineering. 28(1). 242–265. 11 indexed citations
3.
Santos, Pedro Pinto, et al.. (2023). Flood Susceptibility Assessment through Statistical Models and HEC-RAS Analysis for Sustainable Management in Essaouira Province, Morocco. Geosciences. 13(12). 382–382. 11 indexed citations
4.
Jacinto, Rita, et al.. (2023). SoResilere—A Social Resilience Index Applied to Portuguese Flood Disaster-Affected Municipalities. Sustainability. 15(4). 3309–3309. 2 indexed citations
5.
Santos, Pedro Pinto, Susana Pereira, Sérgio C. Oliveira, et al.. (2022). Exposure and physical vulnerability indicators to assess seismic risk in urban areas: a step towards a multi-hazard risk analysis. Geomatics Natural Hazards and Risk. 13(1). 1154–1177. 10 indexed citations
6.
Santos, Pedro Pinto, Susana Pereira, Jorge Rocha, et al.. (2022). The role of susceptibility, exposure and vulnerability as drivers of flood disaster risk at the parish level. Environmental Earth Sciences. 81(19). 5 indexed citations
7.
8.
Santos, Pedro Pinto, Susana Pereira, José Luı́s Zêzere, et al.. (2020). A comprehensive approach to understanding flood risk drivers at the municipal level. Journal of Environmental Management. 260. 110127–110127. 59 indexed citations
9.
Jacinto, Rita, Eusébio Reis, & João Ferrão. (2020). Indicators for the assessment of social resilience in flood-affected communities – A text mining-based methodology. The Science of The Total Environment. 744. 140973–140973. 28 indexed citations
10.
Santos, Pedro Pinto, Eusébio Reis, Susana Pereira, & Mónica Santos. (2019). A flood susceptibility model at the national scale based on multicriteria analysis. The Science of The Total Environment. 667. 325–337. 55 indexed citations
11.
Meneses, Bruno M., Susana Pereira, & Eusébio Reis. (2019). Effects of different land use and land cover data on the landslide susceptibility zonation of road networks. Natural hazards and earth system sciences. 19(3). 471–487. 58 indexed citations
12.
Santos, Pedro Pinto, Susana Pereira, José Luı́s Zêzere, et al.. (2018). Flood susceptibility assessment based on Analytical Hierarchy Process: application in mainland Portugal. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 4940. 3 indexed citations
13.
Meneses, Bruno M., et al.. (2018). MODELLING THE LAND USE AND LAND COVER CHANGES IN PORTUGAL: A MULTI-SCALE AND MULTI-TEMPORAL APPROACH. SHILAP Revista de lepidopterología. 53(107). 21 indexed citations
14.
15.
16.
Jacinto, Rita, et al.. (2015). Continental Portuguese Territory Flood Susceptibility Index – contribution to a vulnerability index. Natural hazards and earth system sciences. 15(8). 1907–1919. 49 indexed citations
17.
Reis, Eusébio, et al.. (2012). As cheias no sul de Portugal em diferentes tipos de bacias hidrográficas. SHILAP Revista de lepidopterología. 36(71). 11 indexed citations
18.
Reis, Eusébio, et al.. (2011). Acacia saligna (Labill.) H. Wendl in the Sesimbra County: invaded habitats and potential distribution modeling. Journal of Coastal Research. 1(64). 403–407. 8 indexed citations
19.
Capinha, César, Eduardo Gomes, Eusébio Reis, et al.. (2009). Present habitat suitability for Anopheles atroparvus (Diptera, Culicidae) and its coincidence with former malaria areas in mainland Portugal. Geospatial health. 3(2). 177–177. 23 indexed citations
20.
Reis, Eusébio, et al.. (2002). Floods in southern Portugal: their physical and human causes, impacts and human response. Mitigation and Adaptation Strategies for Global Change. 7(3). 267–284. 42 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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