| IAHS Decade on Predictions in Ungauged Basins (PUB), 2003–2012: Shaping an exciting future for the hydrological sciences M Sivapalan, K Takeuchi, SW Franks, VK Gupta, H Karambiri, V Lakshmi, ... Hydrological sciences journal 48 (6), 857-880, 2003 | 1427 | 2003 |
| A seca e a crise hídrica de 2014-2015 em São Paulo JA Marengo, CA Nobre, ME Seluchi, A Cuartas, LM Alves, EM Mendiondo, ... Revista Usp, 31-44, 2015 | 229 | 2015 |
| Review of soil and water assessment tool (SWAT) applications in Brazil: Challenges and prospects D de Almeida Bressiani, PW Gassman, JG Fernandes, LHP Garbossa, ... International Journal of Agricultural and Biological Engineering 8 (3), 9-35, 2015 | 228 | 2015 |
| Development of a spatial decision support system for flood risk management in Brazil that combines volunteered geographic information with wireless sensor networks FEA Horita, JP de Albuquerque, LC Degrossi, EM Mendiondo, J Ueyama Computers & Geosciences 80, 84-94, 2015 | 176 | 2015 |
| Bridging the gap between decision-making and emerging big data sources: An application of a model-based framework to disaster management in Brazil FEA Horita, JP de Albuquerque, V Marchezini, EM Mendiondo Decision Support Systems 97, 12-22, 2017 | 161 | 2017 |
| Comparação entre equações empíricas para estimativa da evapotranspiração de referência na Bacia do Rio Jacupiranga AC Borges, EM Mendiondo Revista Brasileira de Engenharia Agrícola e Ambiental 11, 293-300, 2007 | 119 | 2007 |
| A blue/green water‐based accounting framework for assessment of water security DBB Rodrigues, HV Gupta, EM Mendiondo Water Resources Research 50 (9), 7187-7205, 2014 | 114 | 2014 |
| Flood Citizen Observatory: a crowdsourcing-based approach for flood risk management in Brazil. LC Degrossi, JP de Albuquerque, MC Fava, EM Mendiondo SEKE, 570-575, 2014 | 103 | 2014 |
| Effects of spatial and temporal weather data resolutions on streamflow modeling of a semi-arid basin, Northeast Brazil D de Almeida Bressiani, R Srinivasan, CA Jones, EM Mendiondo International Journal of Agricultural and Biological Engineering 8 (3), 125-139, 2015 | 85 | 2015 |
| Uncertainties in mean discharges from two large South American rivers due to rating curve variability RT Clarke, EM Mendiondo, LC Brusa Hydrological Sciences Journal 45 (2), 221-236, 2000 | 78 | 2000 |
| Geo-social media as a proxy for hydrometeorological data for streamflow estimation and to improve flood monitoring C Restrepo-Estrada, SC de Andrade, N Abe, MC Fava, EM Mendiondo, ... Computers & Geosciences 111, 148-158, 2018 | 72 | 2018 |
| A middleware platform to support river monitoring using wireless sensor networks D Hughes, J Ueyama, E Mendiondo, N Matthys, W Horré, S Michiels, ... Journal of the Brazilian Computer Society 17, 85-102, 2011 | 62 | 2011 |
| Four scenarios S Cork, G Peterson, G Petschel-Held, J Alcamo, J Alder, E Bennett, E Carr, ... Ecosystems and human well-being: scenarios 2, 2005 | 62 | 2005 |
| Water scarcity under scenarios for global climate change and regional development in semiarid Northeastern Brazil JC de Araújo, P Döll, A Güntner, M Krol, CBR Abreu, M Hauschild, ... Water International 29 (2), 209-220, 2004 | 61 | 2004 |
| Stormwater volume reduction and water quality improvement by bioretention: Potentials and challenges for water security in a subtropical catchment MB de Macedo, CAF do Lago, EM Mendiondo Science of the Total Environment 647, 923-931, 2019 | 59 | 2019 |
| The challenge of unprecedented floods and droughts in risk management H Kreibich, AF Van Loon, K Schröter, PJ Ward, M Mazzoleni, N Sairam, ... Nature 608 (7921), 80-86, 2022 | 52 | 2022 |
| Hydrological services in the Atlantic Forest, Brazil: An ecosystem-based adaptation using ecohydrological monitoring D Taffarello, M do Carmo Calijuri, RAG Viani, JA Marengo, ... Climate Services 8, 1-16, 2017 | 46 | 2017 |
| ESCALAS HIDROLÓGICAS. I: CONCEITOS EDUARDO M. MENDIONDO, CARLOS EM TUCCI EM MENDIONDO Revista Brasileira de Recursos Hídricos, DOI: 10.21168/rbrh.v2n1.p59-79 2 (1 …, 1997 | 46* | 1997 |
| Improving the accuracy of a flood forecasting model by means of machine learning and chaos theory: a case study involving a real wireless sensor network deployment in brazil G Furquim, G Pessin, BS Faiçal, EM Mendiondo, J Ueyama Neural computing and applications 27, 1129-1141, 2016 | 41 | 2016 |
| Challenging issues of urban biodiversity related to ecohydrology EM Mendiondo Brazilian Journal of Biology 68, 983-1002, 2008 | 40 | 2008 |
João Porto de AlbuquerqueProfessor in Urban Analytics, Deputy Director of the Urban Big Data Centre, University of GlasgowBestätigte E-Mail-Adresse bei glasgow.ac.uk
