F. Salas

766 citations
16 papers · 323 · h-index 8

Impact in

Papers in

F. Salas

16 papers receiving 319 citations

Peers

F. Salas
Comparison fields: 5 of 44
  • Water Science and Technology 237
  • Global and Planetary Change 225
  • Environmental Engineering 143
  • Atmospheric Science 93
  • Geology 9
Replace Priyank J. Sharma with:
Priyank J. Sharma India
Davide Muraro Italy
L. Cunha United States
Michael Cranston United Kingdom
Bastian Klein Germany
Quynh Duy Bui Vietnam
Roberto Bentivoglio Netherlands
Pankaj Mani India
Vinh Ngoc Tran United States
Christian Reszler Austria
F. Salas relative to Priyank J. Sharma India Priyank J. Sharma's profile →
Citations per field
00.5×
Priyank J. Sharma · 1×
Citations per year

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-authors

The 25 scholars most cited alongside F. Salas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with F. Salas Line = papers co-authored together F. Salas links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 202199
2 201788
3 202053
4 202326
5 201416
6 202411
7 20129
8 20179
9 20143
10
Multi-variate evaluation of the NOAA National Water Model
20182
11 20142
12
Building Cyberinfrastructure to Support a Real-time National Flood Model
20141
13 20241
14 20241
15
Monitoring plan for Portuguese coastal waters: Water quality and ecology
20051
16
Real-Time Water Decision Support Services For Droughts
20141

About F. Salas

F. Salas is a scholar working on Water Science and Technology, Global and Planetary Change, Environmental Engineering, Information Systems and Management and Artificial Intelligence, having authored 16 papers that have together received 323 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (8 papers), Flood Risk Assessment and Management (8 papers), Hydrological Forecasting Using AI (4 papers), Water Quality and Pollution Assessment (2 papers), Advanced Computational Techniques and Applications (2 papers), Scientific Computing and Data Management (2 papers), Environmental Monitoring and Data Management (2 papers) and Hydrology and Drought Analysis (1 paper). The work is most often cited by research in Water Science and Technology (237 citations), Global and Planetary Change (225 citations), Environmental Engineering (143 citations), Atmospheric Science (93 citations) and Geology (9 citations). F. Salas has collaborated with scholars based in United States, Lebanon and Chile. Frequent co-authors include Jonathan Frame, Frederik Kratzert, Austin Raney, Grey Nearing, David R. Maidment, David Gochis, A. L. Dugger, Edward P. Clark, Cédric H. David and Wei Yu. Their work appears in journals such as JAWRA Journal of the American Water Resources Association, Water Resources Research, Clinical Oral Investigations, Journal of Hydrometeorology and Hydrology and earth system sciences.

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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