Paulo Chaves

513 total citations
22 papers, 394 citations indexed

About

Paulo Chaves is a scholar working on Ocean Engineering, Civil and Structural Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Paulo Chaves has authored 22 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Ocean Engineering, 6 papers in Civil and Structural Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Paulo Chaves's work include Water resources management and optimization (8 papers), Water Systems and Optimization (5 papers) and Video Surveillance and Tracking Methods (5 papers). Paulo Chaves is often cited by papers focused on Water resources management and optimization (8 papers), Water Systems and Optimization (5 papers) and Video Surveillance and Tracking Methods (5 papers). Paulo Chaves collaborates with scholars based in Portugal, Japan and Taiwan. Paulo Chaves's co-authors include Toshiharu Kojiri, Fi‐John Chang, Tsuneo Tsukatani, Yosuke Yamashiki, Armando Fernandes, Andrei B. Utkin, Márcia L. Baptista, João C. Ferreira, Tomás Brandão and Pedro Melo‐Pinto and has published in prestigious journals such as IEEE Access, Remote Sensing and Hydrological Processes.

In The Last Decade

Paulo Chaves

21 papers receiving 368 citations

Peers

Paulo Chaves

WST

CSE

GPC

Jianzhong Zhou China

Seyed Mohammad Ashrafi Iran

Eung Seok Kim South Korea

Keyvan Asghari Iran

Kourosh Qaderi Iran

Alireza B. Dariane Iran

Mahmoud F. Maghrebi Iran

Mustafa Erkan Turan Türkiye

Mahsa Jahandideh‐Tehrani United States

Guangwen Ma China

Jianzhong Zhou China

Paulo Chaves

113 ×0.5

195 ×1.1

WST

101 ×0.8

74 ×0.7

CSE

189 ×2.4

GPC

Citations per year, relative to Paulo Chaves Paulo Chaves (= 1×) peers Jianzhong Zhou

Countries citing papers authored by Paulo Chaves

Since Specialization

Citations

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

Fields of papers citing papers by Paulo Chaves

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paulo Chaves

This figure shows the co-authorship network connecting the top 25 collaborators of Paulo Chaves. A scholar is included among the top collaborators of Paulo Chaves 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 Paulo Chaves. Paulo Chaves 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

Fernandes, Armando, Andrei B. Utkin, & Paulo Chaves. (2024). Enhanced Automatic Wildfire Detection System Using Big Data and EfficientNets. Fire. 7(8). 286–286. 3 indexed citations

Wright, Philip, et al.. (2023). Infrastructure-Less Prioritized Communication Platform for First Responders. IT Professional. 25(6). 29–37. 1 indexed citations

Chaves, Paulo, et al.. (2023). Classification of Fish Species Using Multispectral Data from a Low-Cost Camera and Machine Learning. Remote Sensing. 15(16). 3952–3952. 6 indexed citations

Fernandes, Armando, Andrei B. Utkin, & Paulo Chaves. (2023). Automatic early detection of wildfire smoke with visible-light cameras and EfficientDet. Journal of Fire Sciences. 41(4). 122–135. 6 indexed citations

Fernandes, Armando, Andrei B. Utkin, & Paulo Chaves. (2022). Automatic Early Detection of Wildfire Smoke With Visible Light Cameras Using Deep Learning and Visual Explanation. IEEE Access. 10. 12814–12828. 19 indexed citations

Chaves, Paulo, et al.. (2020). IN2Dig – Implementation of a Digital Manufacturing System in a Production Cell of the Metal Mold Industry: From Planning to Action. Procedia Manufacturing. 42. 104–110. 1 indexed citations

Baptista, Márcia L., et al.. (2019). Improved real-time wildfire detection using a surveillance system. World Congress on Engineering. 4 indexed citations

Fernandes, Armando, et al.. (2019). Drone, Aircraft and Bird Identification in Video Images Using Object Tracking and Residual Neural Networks. 1–6. 5 indexed citations

Utkin, Andrei B., et al.. (2018). LIF and SFS Techniques for Early Detection of Biofilms Harmful for Cultural Heritage. Zenodo (CERN European Organization for Nuclear Research). 275–275. 2 indexed citations

10.

Chaves, Paulo, et al.. (2017). Modular buck-boost transformerless grid-tied inverter for low voltage solar panels. Renewable Energy and Power Quality Journal. 12(1). 2 indexed citations

11.

Chaves, Paulo & Fi‐John Chang. (2008). Intelligent reservoir operation system based on evolving artificial neural networks. Advances in Water Resources. 31(6). 926–936. 93 indexed citations

12.

Chaves, Paulo & Toshiharu Kojiri. (2007). Deriving reservoir operational strategies considering water quantity and quality objectives by stochastic fuzzy neural networks. Advances in Water Resources. 30(5). 1329–1341. 74 indexed citations

13.

Chang, Fi‐John, et al.. (2007). Shared near neighbours neural network model: a debris flow warning system. Hydrological Processes. 21(14). 1968–1976. 12 indexed citations

14.

Chaves, Paulo & Toshiharu Kojiri. (2007). Stochastic Fuzzy Neural Network: Case Study of Optimal Reservoir Operation. Journal of Water Resources Planning and Management. 133(6). 509–518. 20 indexed citations

15.

Chaves, Paulo & Toshiharu Kojiri. (2006). Conceptual fuzzy neural network model for water quality simulation. Hydrological Processes. 21(5). 634–646. 25 indexed citations

16.

Chaves, Paulo, Toshiharu Kojiri, & Tomoharu Hori. (2005). Stochastic operation for multi-purpose reservoir using neuro-fuzzy systems. Kyoto University Research Information Repository (Kyoto University). 48(48). 793–806. 2 indexed citations

17.

Chaves, Paulo, Tsuneo Tsukatani, & Toshiharu Kojiri. (2004). Operation of storage reservoir for water quality by using optimization and artificial intelligence techniques. Mathematics and Computers in Simulation. 67(4-5). 419–432. 54 indexed citations

18.

Chaves, Paulo & Toshiharu Kojiri. (2003). Multi-objective Storage Reservoir Operation under Uncertainty. Kyoto University Research Information Repository (Kyoto University). 46. 899–918. 7 indexed citations

19.

Chaves, Paulo, Toshiharu Kojiri, & Yosuke Yamashiki. (2003). Optimization of storage reservoir considering water quantity and quality. Hydrological Processes. 17(14). 2769–2793. 35 indexed citations

20.

Chaves, Paulo & Toshiharu Kojiri. (2002). STORAGE RESERVOIR PLANNING CONSIDERING WATER QUANTITY AND QUALITY. 1042–1047. 1 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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