F. Salas

766 total citations
16 papers, 323 citations indexed

About

F. Salas is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, F. Salas has authored 16 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Water Science and Technology, 8 papers in Global and Planetary Change and 5 papers in Environmental Engineering. Recurrent topics in F. Salas's work include Flood Risk Assessment and Management (8 papers), Hydrology and Watershed Management Studies (8 papers) and Hydrological Forecasting Using AI (4 papers). F. Salas is often cited by papers focused on Flood Risk Assessment and Management (8 papers), Hydrology and Watershed Management Studies (8 papers) and Hydrological Forecasting Using AI (4 papers). F. Salas collaborates with scholars based in United States, Chile and Lebanon. F. Salas's co-authors include Grey Nearing, Austin Raney, Jonathan Frame, Frederik Kratzert, David R. Maidment, A. L. Dugger, David Gochis, Wei Yu, Edward P. Clark and Cédric H. David and has published in prestigious journals such as Water Resources Research, Hydrology and earth system sciences and Journal of Hydrometeorology.

In The Last Decade

F. Salas

16 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F. Salas United States 8 237 225 143 93 16 16 323
Priyank J. Sharma India 11 217 0.9× 287 1.3× 108 0.8× 93 1.0× 28 1.8× 29 386
Louise Arnal United Kingdom 11 330 1.4× 368 1.6× 156 1.1× 194 2.1× 38 2.4× 22 508
Pankaj Mani India 6 177 0.7× 263 1.2× 102 0.7× 75 0.8× 13 0.8× 6 300
Vinh Ngoc Tran United States 12 162 0.7× 173 0.8× 142 1.0× 66 0.7× 27 1.7× 27 293
Roberto Bentivoglio Netherlands 7 138 0.6× 240 1.1× 135 0.9× 106 1.1× 12 0.8× 9 305
Mohammad Zaman Australia 8 195 0.8× 322 1.4× 69 0.5× 53 0.6× 19 1.2× 15 387
Christian Reszler Austria 6 308 1.3× 290 1.3× 155 1.1× 171 1.8× 13 0.8× 9 408
Faria Tuz Zahura United States 7 88 0.4× 213 0.9× 96 0.7× 83 0.9× 22 1.4× 12 280
Linda Speight United Kingdom 8 198 0.8× 320 1.4× 110 0.8× 142 1.5× 16 1.0× 24 421
Bing-Chen Jhong Taiwan 11 121 0.5× 234 1.0× 172 1.2× 116 1.2× 23 1.4× 19 324

Countries citing papers authored by F. Salas

Since Specialization
Citations

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

Fields of papers citing papers by F. Salas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Salas

This figure shows the co-authorship network connecting the top 25 collaborators of F. Salas. A scholar is included among the top collaborators of F. Salas 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 F. Salas. F. Salas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Basso, Andrea, et al.. (2024). Machine learning and deep learning models for the diagnosis of apical periodontitis: a scoping review. Clinical Oral Investigations. 28(11). 600–600. 1 indexed citations
2.
3.
Salas, F., et al.. (2024). Effects of high-quality elevation data and explanatory variables on the accuracy of flood inundation mapping via Height Above Nearest Drainage. Hydrology and earth system sciences. 28(6). 1287–1315. 11 indexed citations
4.
5.
Frame, Jonathan, et al.. (2021). Post‐Processing the National Water Model with Long Short‐Term Memory Networks for Streamflow Predictions and Model Diagnostics. JAWRA Journal of the American Water Resources Association. 57(6). 885–905. 99 indexed citations
6.
Mahoney, Kelly, Laura Read, F. Salas, et al.. (2020). A Multiscale, Hydrometeorological Forecast Evaluation of National Water Model Forecasts of the May 2018 Ellicott City, Maryland, Flood. Journal of Hydrometeorology. 21(3). 475–499. 53 indexed citations
7.
Cosgrove, B., A. L. Dugger, K. M. Sampson, et al.. (2018). Multi-variate evaluation of the NOAA National Water Model. AGU Fall Meeting Abstracts. 2018. 2 indexed citations
8.
Salas, F., Marcelo Somos‐Valenzuela, A. L. Dugger, et al.. (2017). Towards Real‐Time Continental Scale Streamflow Simulation in Continuous and Discrete Space. JAWRA Journal of the American Water Resources Association. 54(1). 7–27. 88 indexed citations
9.
Zhao, Tingting, et al.. (2017). Statistical and Hybrid Methods Implemented in a Web Application for Predicting Reservoir Inflows during Flood Events. JAWRA Journal of the American Water Resources Association. 54(1). 69–89. 9 indexed citations
10.
Salas, F., et al.. (2014). Building Cyberinfrastructure to Support a Real-time National Flood Model. 2014 AGU Fall Meeting. 2014. 1 indexed citations
11.
McKinney, Daene C., et al.. (2014). Hydrology of the Jordan River Basin: A GIS-Based System to Better Guide Water Resources Management and Decision Making. Water Resources Management. 28(4). 933–946. 16 indexed citations
12.
McKinney, Daene C., et al.. (2014). GIS-Based System to Better Guide Water Resources Management and Decision Making. 5. 1936–1946. 2 indexed citations
13.
Gall, Elliott T., et al.. (2014). Lessons from a student-led development project in Peru: Aligning technical and educational perspectives. DR-NTU (Nanyang Technological University). 525–539. 3 indexed citations
14.
Minsker, Barbara, et al.. (2014). Real-Time Water Decision Support Services For Droughts. CUNY Academic Works (City University of New York). 1 indexed citations
15.
Salas, F., et al.. (2012). Crossing the digital divide: an interoperable solution for sharing time series and coverages in Earth sciences. Natural hazards and earth system sciences. 12(10). 3013–3029. 9 indexed citations
16.
Ferreira, J.G., Suzanne B. Bricker, João Carlos Marques, et al.. (2005). Monitoring plan for Portuguese coastal waters: Water quality and ecology. 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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