SANTOS, L. B. L.; ESCOBAR-SILVA, ELTON V. ; SATOLO, LUIZ F. ; OYARZABAL, RICARDO S. ; DINIZ, MICHAEL M. ; NEGRI, ROGÉRIO G. ; LIMA, GLAUSTON R. T. ; STEPHANY, STEPHAN ; SOARES, JAQUELINE A. J. P. ; DUQUE, JOHAN S. ; SARAIVA FILHO, FERNANDO L. ; CASERI, ANGÉLICA N. ; BACELAR, LUIZ. Machine learning-based hydrological models for flash floods: a systematic literature review. Smart Construction and Sustainable Cities, v. 3, p. 1, 2025.
SOARES, JAQUELINE A.J.P. ; OZELIM, LUAN C.S.M. ; BACELAR, LUIZ ; RIBEIRO, DIMAS B. ; STEPHANY, STEPHAN ; SANTOS, L.B.L. ML4FF: A machine-learning framework for flash flood forecasting applied to a Brazilian watershed. JOURNAL OF HYDROLOGY, v. 1, p. 132674, 2025
HOSSAKI, VITOR YUICHI ; NEGRI, ROGÉRIO GALANTE ; SANTOS, L.B.L. ; MENDES, TATIANA SUSSEL GONÇALVES ; BRESSANE, ADRIANO. Combining social media data and meteorological sensors for urban flood detection: a statistical analysis in São Paulo City. Earth Science Informatics, v. 18, p. 281, 2025
OYARZABAL, RICARDO S. ; SANTOS, L. B. L. ; CUNNINGHAM, CHRISTOPHER ; BROEDEL, ELISANGELA ; DE LIMA, GLAUSTON R. T. ; CUNHA-ZERI, GISLEINE ; PEIXOTO, JERUSA S. ; ANOCHI, JULIANA A. ; GARCIA, KLAIFER ; COSTA, LIDIANE C. O. ; PAMPUCH, LUANA A. ; CUARTAS, LUZ ADRIANA ; ZERI, MARCELO ; GUEDES, MARCIA R. G. ; NEGRI, ROGÉRIO G. ; MUÑOZ, VIVIANA A. ; CUNHA, ANA PAULA M. A. Forecasting drought using machine learning: a systematic literature review. NATURAL HAZARDS, v. 121, p. 9823, 2025
SEPETAUSKAS, CÁTIA S.N. ; FREITAS, VANDER L.S. ; CARDOSO, HUGO S.P. ; SANTOS, L.B.L. Unveiling connections: Mobility and dengue case networks on an intraurban scale. PHYSICA D-NONLINEAR PHENOMENA, v. 481, p. 134812, 2025
SIMOYAMA, FELIPE O. ; CURTIN, KEVIN M. ; CROOPE, SILVANA ; DE SALLES NETO, LUIZ LEDUINO ; SANTOS, LEONARDO BACELAR LIMA. Semivariogram-based distance function for gradual coverage location models. EXPERT SYSTEMS WITH APPLICATIONS, v. 1, p. 126167, 2025.
SILVA, ANA T.C. ; DORN, REJANE C. ; TOMÁS, LÍVIA R. ; SANTOS, L. B. L. ; SKALINSKI, LACITA M. ; PINHO, S. T. R. Spatial analysis of Dengue through the reproduction numbers relating to socioeconomic features: Case studies on two Brazilian urban centers. Infectious Disease Modelling, v. 9, p. 142-157, 2024.
SOARES, JAQUELINE A. J. P. ; DINIZ, MICHAEL M. ; BACELAR, LUIZ ; LIMA, GLAUSTON R. T. ; SOARES, ALLAN K. S. ; STEPHANY, STEPHAN ; SANTOS, L. B. L. Uncertainty propagation analysis for distributed hydrological forecasting using a neural network. Transactions in GIS, v. 1, p. 1, 2024.
DUQUE, JOHAN S. ; SANTOS, RAFAEL ; ARTEAGA, JOHNY ; OYARZABAL, RICARDO S. ; SANTOS, L. B. L. . Nonlinear hydrological time series modeling to forecast river level dynamics in the Rio Negro Uruguay basin. CHAOS, v. 34, p. 1, 2024.
SILVA, PABLO V.R. ; JORGE, AURELIENNE A.S. ; Santos, Leonardo B.L. ; FREITAS, VANDER L.S. ShpStreetGraph: From spatial relations of streets to graph representations. Software Impacts, v. 22, p. 100711, 2024.
HOSSAKI, VITOR Y. ; SERON, WILSON F. M. S. ; NEGRI, ROGÉRIO G. ; LONDE, LUCIANA R. ; TOMÁS, LÍVIA R. ; BACELAR, ROBERTA B. ; ANDRADE, SIDGLEY C. ; SANTOS, L. B. L. Physical- and Social-Based Rain Gauges-A Case Study on Urban Flood Detection. Geosciences, v. 13, p. 111, 2023.
SIMOYAMA, FELIPE DE OLIVEIRA ; CROOPE, SILVANA ; TOMÁS, LÍVIA RODRIGUES ; CURTIN, KEVIN M. ; PRICE, ASHLEIGH N. ; DE SALLES NETO, LUIZ LEDUINO ; SANTOS, LEONARDO BACELAR LIMA. Gradual cooperative coverage models for optimally locating rain gauges on an urban transportation network. EXPERT SYSTEMS WITH APPLICATIONS, v. 224, p. 119978, 2023.
SANTOS, L. B. L.; ANAZAWA, TATHIANE M. ; FERREIRA, LEONARDO N. ; FREITAS, VANDER L. S. Editorial: Integrating physical and social sciences towards the sustainable development goals. Frontiers in Physics, v. 11, p. 1, 2023.
SANTOS, L. B. L.; SOARES, GIOVANNI G. ; GARG, TANISHQ ; JORGE, AURELIENNE A. S. ; LONDE, LUCIANA R. ; REANI, REGINA T. ; BACELAR, ROBERTA B. ; OLIVEIRA, CARLOS E. S. ; FREITAS, VANDER L. S. ; SOKOLOV, IGOR M. Vulnerability analysis in complex networks under a flood risk reduction point of view. Frontiers in Physics, v. 11, p. 1, 2023.
KAWAHAMA, F. H. ; SANTOS, L. B. L. ; CIRILO, P. R. ; SOUZA, L. F. ; MACAU, ELBERT E. Minimum vector control intensity to get a stable fixed point in a mosquito dynamic model. Trends in Computational and Applied Mathematics, v. 24, p. 3, 2023.
SANTOS, L. B. L.; FREITAS, C. P. ; BACELAR, L. ; SOARES, J. ; DINIZ, M. ; DE LIMA, GLAUSTON R. T. ; STEPHANY, S. A Neural Network-based Hydrological Model for Very High-Resolution Forecasting Using Weather Radar Data. Eng, v. 4, p. 1787, 2023.
JORGE, A. A. S. ; FREITAS, V. L. S. ; COSTA, I. C. ; SANTOS, L. B. L. Graph4GIS: Geographical graphs for GIS platforms based on weather radar dataset. Software Impacts, v. 17, p. 100530, 2023.
BILLA, WAGNER S. ; NEGRI, ROGÉRIO G. ; SANTOS, L. B. L. WB Score: A Novel Methodology for Visual Classifier Selection in Increasingly Noisy Datasets. Eng, v. 4, p. 2497-2513, 2023.
BILLA, WAGNER DA SILVA ; SANTOS, L. B. L. ; NEGRI, ROGÉRIO GALANTE. Analyzing the spatial interactions between rainfall levels and flooding prediction in São Paulo. Transactions in GIS, v. 27, p. 2159-2174, 2023.
TOMAS, L. R. ; SOARES, G. G. ; JORGE, A. A. S. ; MENDES, J. F. ; FREITAS, V. L. S. ; SANTOS, L. B. L. . Flood risk map from hydrological and mobility data: a case study in São Paulo (Brazil). Transactions in GIS, v. 1, p. 1-25, 2022.
SIMOYAMA, F. ; TOMÁS, LÍVIA R. ; PINTO, F. M. ; SALLES NETO, L. L. ; SANTOS, L B L . Optimal rain gauge network to reduce rainfall impacts on urban mobility - a spatial sensitivity analysis. INDUSTRIAL MANAGEMENT & DATA SYSTEMS, v. 1, p. 1, 2022.
DE OLIVEIRA SIMOYAMA, FELIPE ; CROOPE, SILVANA ; DE SALLES NETO, LUIZ LEDUINO ; SANTOS, LEONARDO BACELAR LIMA. Optimization of rain gauge networks-A systematic literature review. SOCIO-ECONOMIC PLANNING SCIENCES, v. 1, p. 101469, 2022.
CASERI, A. N. ; SANTOS, L. B. L. ; STEPHANY, S. A convolutional recurrent neural network for strong convective rainfall nowcasting using weather radar data in Southeastern Brazil. Artificial Intelligence in Geosciences, v. 3, p. 8-13, 2022.
LAMOSA, JÉSSICA D. ; TOMÁS, LÍVIA R. ; QUILES, MARCOS G. ; LONDE, LUCIANA R. ; SANTOS, LEONARDO B. L. ; MACAU, ELBERT E. N. . Topological indexes and community structure for urban mobility networks: Variations in a business day. PLoS One, v. 16, p. e0248126, 2021.
TOMÁS, L. R., JUREMA, M. C., DOS SANTOS, J. C., LONDE, L. D., REANI, R. T., LINHARES, C. D., & SANTOS, L. B. (2021). From Macro to Micro: Two Approaches to Study Urban Mobility in a Brazilian Municipality. In Tenedório, J. A., Estanqueiro, R., & Henriques, C. D. (Ed.), Methods and Applications of Geospatial Technology in Sustainable Urbanism (pp. 124-158). IGI Global. http://doi:10.4018/978-1-7998-2249-3.ch005
FREITAS, V. L. S. ; MOREIRA, G. J. P. ; SANTOS, L.B.L. . Robustness analysis in an inter-cities mobility network: modeling municipal, state and federal initiatives as failures and attacks toward SARS-CoV-2 containment. PeerJ, v. 8, p. e10287, 2020.
FREITAS, V. L. S. ; KONSTANTYNER, T. C. R. O. ; FEITOSA, J. ; SEPETAUSKAS, C. S. N. ; SANTOS, L. B. L. The correspondence between the structure of the terrestrial mobility network and the emergence of COVID-19 in Brazil. CADERNOS DE SAÚDE PÚBLICA, 2020.
OLIVEIRA, L. V. ; NEGRI, R. G. ; SANTOS, L. B. L. Análise de técnicas de detecção de mudança para mapeamento de desastres com uso de dados de sensoriamento remoto. Revista Brasileira de Cartografia, v. 72, n. 1, p. 177-189, 30 mar. 2020.
REANI, R. T.; SORIANO, E.; LONDE, L. R.; TOMÁS, L.; VIANNA, M. L. N. G.; SANTOS, L. B. L. Interfaces legais entre planejamento urbano e redução de riscos e desastres. Caminhos da Geografia (UFU. Online), v. 21, p. 116-133, 2020.
SANTOS, L.B.L. ; CARVALHO, L. M. ; SERON, W. ; COELHO, F. C. ; MACAU, E. E. ; QUILES, M. G. ; V. MONTEIRO, A. M. How do urban mobility (geo)graph?s topological properties fill a map? Applied Network Science, v. 4, p. 91, 2019.
SERON, W. ; SANTOS, L. B. L. ; DOLIF NETO, G. ; QUILES, M. ; CANDIDO, O. A. . Community detection in very-high resolution meteorological networks. IEEE Geoscience and Remote Sensing Letters, v. 1, p. 1-4, 2019.
SANTOS, L. B. L. ; LONDE, L. R. ; CARVALHO, T. ; MENASCH, D. S. ; OLIVEIROS, D. A. V. About interfaces between Machine Learning, Complex Networks, Survivability Analysis and Disaster Risk Reduction. Towards mathematics, computers and environment: a disasters perspective, Springer Nature, pp. 185–215, 2019
CARVALHO, T. ; JORGE, A. A. S. ; BERNARDES, T. ; LONDE, L. R. ; SORIANO, E. ; SANTOS, L. B. L. A computational geographical index on road networks for Disaster Risk Reduction. IEEE América Latina. v. 16, p. 1454, 2018.
SANTOS, L. B. L.; VASCONCELLOS, P. ; MIRANDA, T. N. S. ; CARVALHO, S. V. Pontes Conceituais entre Matemática e Redução de Risco de Desastres - o conceito de bacia hidrográfica estocástica. PERCURSOS (FLORIANÓPOLIS. ONLINE), v. 18, p. 125, 2017.
SANTOS, L.B.L.; CARVALHO, T. ; ANDERSON, L. O. ; RUDORFF, C. ; MARCHEZINI, V. ; LONDE, LUCIANA R. ; SAITO, S. M. An RS-GIS-Based Comprehensive Impact Assessment of Floods--A Case Study in Madeira River, Western Brazilian Amazon. IEEE Geoscience and Remote Sensing Letters, p. 1-4, 2017.
MUNOZ, V. A. ; MARCHEZINI, V. ; SANTOS, L. B. L. ; JIMENEZ, N. ; VELASQUEZ, A. DesInventar: Ferramenta conceitual e plataforma computacional para sistematização de dados e suporte à pesquisa de risco e desastres. REDUCTION OF VULNERABILITY TO DISASTERS: FROM KNOWLEDGE TO ACTION. 1ed.: Rima, 2017, p. 311-624.
LONDE, L. R. ; SANTOS, L. B. L. ; MARCHEZINI, V. Rotas de prevenção: a redução de vulnerabilidade a desastres no âmbito das infraestruturas de transporte e da mobilidade urbana no Brasil. REDUCTION OF VULNERABILITY TO DISASTERS: FROM KNOWLEDGE TO ACTION. 1ed.: Rima, 2017.
SILVA, M. R. ; SANTOS, L. B. L. ; SCOFIELD, G. B. ; CORTIVO, F. D. Utilização de Redes Neurais Artificiais em alertas hidrológicos: estudo de caso na bacia do rio Claro em Caraguatatuba-SP. ANUÁRIO DO INSTITUTO DE GEOCIÊNCIAS (UFRJ. IMPRESSO), v. 39, p. 23-31, 2016.
SORIANO, E. ; LONDE, L. R. ; GREGORIO, L. T. ; COUTINHO, M. ; SANTOS, L. B. L. Water crisis in São Paulo evaluated under the disaster's point of view. AMBIENTE E SOCIEDADE (CAMPINAS), v. 19, p. 21, 2016.
LIMA, G. R. T. ; SANTOS, L. B. L. ; CARVALHO, T. J. ; CARVALHO, ADENILSON R. ; CORTIVO, FÁBIO D. ; SCOFIELD, GRAZIELA B. ; NEGRI, ROGÉRIO G. An operational dynamical neuro-forecasting model for hydrological disasters. Modeling Earth Systems and Environment, v. 2, p. 94, 2016.
CARVALHO, T. ; SANTOS, L. B. L. ; LUZ, E. F. P. ; ISHIBASHI, R. ; JORGE, A. A. S. ; LONDE, L. R. An Open Source Approach for Watershed's Delimitation to Support Flood Monitoring. International Journal of Distributed Systems and Technologies, v. 7, p. 77-88, 2016.
SORIANO, E. ; HOFFMANN, W. A. M. ; LONDE, L. R. ; SANTOS, L. B. L. ; SOMOZA, R. L. C. D. Rompimento de barragens em Mariana (MG): o processo de comunicação de risco de acordo com dados da mídia. COMMUNICARE (SÃO PAULO), v. 16, p. 52, 2016.
SOUZA, A. ; CRUZ, A. C. S. ; ANAYA, L. M. ; RODRIGUES, J. ; SANTOS, L. B. L. Abordagem computacional livre para classificação de Strahler em hidrografias brasileiras relacionadas a desastres naturais. Modelling in Science Education and Learning (MSEL), v. 8, p. 23-34, 2015.
SANTOS, L. B. L. ; MIRANDA, T. N. S. ; FRATARI, J. C. D. ; BACELAR, R. B. ; MEDINA, C. B. ; CARVALHO, S. V. HydroC - Biblioteca hidrológica aberta com fins educacionais. MODELLING IN SCIENCE EDUCATION AND LEARNING, v. 8, p. 35-43, 2015.
SANTOS, L. B. L.; LONDE, L. R. ; SORIANO, E. ; SOUZA, A. ; COELHO, A. F. Potential flood-related daily urban mobility problems in Rio de Janeiro (Brazil). REVISTA DO DEPARTAMENTO DE GEOGRAFIA, v. 29, p. 175-190, 2015.
COUTINHO, M. P. ; LONDE, L. R. ; Santos, L. B. L. ; LEAL, P. J. V. Instrumentos de planejamento e preparo dos municípios brasileiros à política de proteção e defesa civil. URBE. REVISTA BRASILEIRA DE GESTÃO URBANA, v. 7, p. 383-396, 2015.
LONDE, L. R. ; COUTINHO, M. ; GREGORIO, L. T. ; SANTOS, Leonardo B.L. ; SORIANO, E. . WATER-RELATED DISASTERS IN BRAZIL: PERSPECTIVES AND RECOMMENDATIONS. AMBIENTE & SOCIEDADE (ONLINE), v. 17, p. 133-152, 2014.
SANTOS, Leonardo B. L.; Chiwiacowsky, Leonardo D. ; Campos Velho, Haroldo F. . Algoritmo Genético e Método Variacional na Identificação de Danos Estruturais: Método Híbrido e Abordagem Hierárquica. Técnicas de Inteligência Computacional com Aplicações em Problemas Inversos de Engenharia. 1ed.: Omnipax, 2014, p. 1-10.
CARVALHO, L. M. ; SANTOS, L. B. L. ; FARIA, N. R. ; SILVEIRA, W. C. Phylogeography of foot-and-mouth disease virus serotype O in Ecuador. Infection, Genetics and Evolution (Print), v. 13, p. 76-88, 2013.
SANTOS, L B L; CHIWIACOWSKY, L. D. ; CAMPOS VELHO, H. F. Genetic Algorithm and Variational Method to Identify Initial Conditions: Worked Example in Hyperbolic Heat Transfer. TEMA. Tendências em Matemática Aplicada e Computacional, v. 14, p. 265-276, 2013.
LONDE, L. R. ; SILVA, A. E. P. ; SANTOS, L. B. L. ; BALDO, R. Informações da mídia eletrônica e redes sociais como subsídio ao monitoramento de desastres naturais. GEOGRAFIA (RIO CLARO. IMPRESSO), v. 38, p. 401-408, 2013.
SANTOS, L. B. L.; CHIWIACOWSKY, L. D. ; VELHO, H. F. C. Análise de robustez do método híbrido de estimação de dano estrutural. TEMA. Tendências em Matemática Aplicada e Computacional, v. 13, p. 245-252, 2011.
ANDRADE, R. F. S. ; ROCHA-NETO, I. C. ; SANTOS, L. B. L. ; SANTANA, C. N. ; DINIZ, M. V. C. ; LOBAO, T. P. ; GOES-NETO, A. ; PINHO, S. T. R. ; El-HANI, C. N. ; SANTOS, L. B. L. Detecting Network Communities: An Application to Phylogenetic Analysis. PLOS Computational Biology (Online), v. 7, p. e1001131, 2011.
GOES-NETO, A. ; DINIZ, M. V. C. ; SANTOS, L. B. L. ; PINHO, S. T. R. ; MIRANDA, J. G. V. ; LOABAO, T. P. ; BORGES, E. P. ; EL-HANI, C. N. ; ANDRADE, R. F. S. Comparative protein analysis of the chitin metabolic pathway in extant organisms: A complex network approach. Biosystems (Amsterdam. Print), v. 101, p. 59-66, 2010.
REIS, E ; SANTOS, L. B. L. ; PINHO, S . A. cellular automata model for avascular solid tumor growth under the effect of therapy. Physica. A (Print), v. 388, p. 1303-1314, 2009.
SANTOS, L. B. L.; COSTA, M. C. ; PINHO, S. T. R. ; ANDRADE, R. F. S. ; BARRETO, F. R. ; TEIXEIRA, M. G. ; BARRETO, M. L. Periodic forcing in a three-level cellular automata model for a vector-transmitted disease. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics (Print), v. 80, p. 016102, 2009.