J. B. Leal

614 total citations
34 papers, 452 citations indexed

About

J. B. Leal is a scholar working on Ecology, Civil and Structural Engineering and Global and Planetary Change. According to data from OpenAlex, J. B. Leal has authored 34 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Ecology, 16 papers in Civil and Structural Engineering and 9 papers in Global and Planetary Change. Recurrent topics in J. B. Leal's work include Hydrology and Sediment Transport Processes (18 papers), Hydraulic flow and structures (13 papers) and Flood Risk Assessment and Management (9 papers). J. B. Leal is often cited by papers focused on Hydrology and Sediment Transport Processes (18 papers), Hydraulic flow and structures (13 papers) and Flood Risk Assessment and Management (9 papers). J. B. Leal collaborates with scholars based in Portugal, Norway and France. J. B. Leal's co-authors include António H. Cardoso, João Nuno Fernandes, Rui M. L. Ferreira, Sathyajith Mathew, Sébastien Proust, Mário J. Franca, Nicolas Rivière, Kolbjørn Engeland, Mário Alves and Anis Koubâa and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Resources Research and Journal of Hydrology.

In The Last Decade

J. B. Leal

32 papers receiving 439 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. B. Leal Portugal 12 255 202 106 104 100 34 452
U. K. Singh India 11 216 0.8× 169 0.8× 70 0.7× 137 1.3× 69 0.7× 49 421
Jianchun Huang United States 7 197 0.8× 129 0.6× 50 0.5× 73 0.7× 49 0.5× 25 355
R. Brouwer Netherlands 13 265 1.0× 355 1.8× 60 0.6× 171 1.6× 32 0.3× 31 691
Anurag Sharma India 14 453 1.8× 277 1.4× 80 0.8× 238 2.3× 98 1.0× 57 529
Khosrow Hosseini Iran 12 126 0.5× 203 1.0× 62 0.6× 52 0.5× 136 1.4× 40 411
M. Sami Aköz Türkiye 14 222 0.9× 313 1.5× 38 0.4× 29 0.3× 189 1.9× 37 503
Mitra Javan Iran 13 158 0.6× 234 1.2× 92 0.9× 78 0.8× 31 0.3× 44 458
Maurizio Venutelli Italy 12 90 0.4× 168 0.8× 96 0.9× 40 0.4× 113 1.1× 25 385
Carlos A. Vionnet Argentina 9 107 0.4× 48 0.2× 59 0.6× 58 0.6× 103 1.0× 23 337
Budi Gunawan United States 11 85 0.3× 44 0.2× 47 0.4× 15 0.1× 92 0.9× 37 473

Countries citing papers authored by J. B. Leal

Since Specialization
Citations

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

Fields of papers citing papers by J. B. Leal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. B. Leal. 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 J. B. Leal. The network helps show where J. B. Leal may publish in the future.

Co-authorship network of co-authors of J. B. Leal

This figure shows the co-authorship network connecting the top 25 collaborators of J. B. Leal. A scholar is included among the top collaborators of J. B. Leal 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 J. B. Leal. J. B. Leal 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.
Fernandes, João Nuno, J. B. Leal, & António H. Cardoso. (2024). Shear Layer Development and Fully Developed Flows in Compound Channels. Water Resources Management. 39(3). 1055–1072. 1 indexed citations
2.
Engeland, Kolbjørn, et al.. (2023). Uncertainty analysis of 100-year flood maps under climate change scenarios. Journal of Hydrology. 628. 130502–130502. 12 indexed citations
3.
Mathew, Sathyajith, et al.. (2023). Direct and indirect short-term aggregated turbine- and farm-level wind power forecasts integrating several NWP sources. Heliyon. 9(11). e21479–e21479. 7 indexed citations
4.
Engeland, Kolbjørn, et al.. (2021). A practical methodology to perform global sensitivity analysis for 2D hydrodynamic computationally intensive simulations. Hydrology research. 52(6). 1309–1327. 5 indexed citations
5.
Mathew, Sathyajith, et al.. (2020). Downscaling and improving the wind forecasts from NWP for wind energy applications using support vector regression. Journal of Physics Conference Series. 1618(6). 62034–62034. 6 indexed citations
6.
Fernandes, João Nuno, J. B. Leal, & António H. Cardoso. (2018). Influence of floodplain and riparian vegetation in the conveyance and structure of turbulent flow in compound channels. SHILAP Revista de lepidopterología. 40. 6035–6035. 9 indexed citations
7.
Proust, Sébastien, et al.. (2017). Mixing layer and coherent structures in compound channel flows: Effects of transverse flow, velocity ratio, and vertical confinement. Water Resources Research. 53(4). 3387–3406. 55 indexed citations
8.
Fernandes, João Nuno, J. B. Leal, & António H. Cardoso. (2015). Assessment of stage–discharge predictors for compound open-channels. Flow Measurement and Instrumentation. 45. 62–67. 17 indexed citations
9.
Fernandes, João Nuno, J. B. Leal, & António H. Cardoso. (2014). Improvement of the Lateral Distribution Method based on the mixing layer theory. Advances in Water Resources. 69. 159–167. 29 indexed citations
10.
Proust, Sébastien, et al.. (2013). Turbulent non-uniform flows in straight compound open-channels. Journal of Hydraulic Research. 51(6). 656–667. 34 indexed citations
11.
Azevedo, Raquel, et al.. (2013). Credibility analysis of computational fluid dynamic simulations for compound channel flow. Journal of Hydroinformatics. 15(3). 926–938. 5 indexed citations
12.
Leal, J. B., et al.. (2012). Influence of vegetation on compound-channel turbulent field. 209–216. 1 indexed citations
13.
Fernandes, João Nuno, J. B. Leal, & António H. Cardoso. (2011). Apparent friction coefficient in straight compound channels. Journal of Hydraulic Research. 49(6). 836–838. 7 indexed citations
14.
Leal, J. B., et al.. (2010). Simulation of the velocity field in compound channel flow using different closure models. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 84(3). 727–32.
15.
Leal, J. B., Rui M. L. Ferreira, & António H. Cardoso. (2010). Geomorphic dam-break flows. Part I: conceptual model. Proceedings of the Institution of Civil Engineers - Water Management. 163(6). 297–304. 8 indexed citations
16.
Leal, J. B., Rui M. L. Ferreira, Mário J. Franca, & António H. Cardoso. (2009). Organised turbulence over mobile and immobile hydraulically rough boundaries. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 36–43. 1 indexed citations
17.
Leal, J. B., et al.. (2007). On a IEEE 802.15.4/ZigBee to IEEE 802.11 gateway for the ART-WiSe architecture. 1388–1391. 10 indexed citations
18.
Ferreira, Rui M. L., et al.. (2006). River Flow 2006, Two Volume Set. 7 indexed citations
19.
Leal, J. B., et al.. (2005). Dam-Break Wave-Front Celerity. Journal of Hydraulic Engineering. 132(1). 69–76. 53 indexed citations
20.
Leal, J. B., et al.. (2002). EXPERIMENTAL STUDY ON DAM-BREAK FLOOD WAVES OVER MOVABLE BED CHANNEL. 国际泥沙研究：英文版. 186–196. 2 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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