Leonardo Sáenz

4.7k citations
10 papers · 557 · 1 hit paper · h-index 9

Impact in

Papers in

Leonardo Sáenz

10 papers receiving 544 citations

Leonardo Sáenz's Hit Papers

GOODD, a global dataset of more than 38,000 georeferenced dams 2020 · 278 citations
2780+2+4Years since publication50100150200250

Peers

Leonardo Sáenz
Comparison fields: 5 of 77
  • Water Science and Technology 199
  • Global and Planetary Change 293
  • Nature and Landscape Conservation 99
  • Ecology 149
  • Ocean Engineering 88
Replace Christine Colvin with:
Christine Colvin South Africa
Tamara S. Wilson United States
Sang Lian-hai China
C. Stratford United Kingdom
Remco van Ek Netherlands
Carlos G. Ochoa United States
Melissa Motew United States
Elaine Wheaton Canada
Vincent Odongo Netherlands
Joseph Ariwi Canada
Leonardo Sáenz relative to Christine Colvin South Africa Christine Colvin's profile →
Citations per field
00.5×4.2×
Christine Colvin · 1×
Citations per year

Countries citing papers authored by Leonardo Sáenz

Since Specialization
Citations

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

Fields of papers citing papers by Leonardo Sáenz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Leonardo Sáenz, 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 Leonardo Sáenz Line = papers co-authored together Leonardo Sáenz links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
GOODD, a global dataset of more than 38,000 georeferenced dams
Hit paper breakdown →
2020278
2 201674
3 202070
4 201537
5 202033
6 202020
7 202116
8 201413
9 20139
10 20167

About Leonardo Sáenz

Leonardo Sáenz is a scholar working on Water Science and Technology, Global and Planetary Change, Ocean Engineering, Nature and Landscape Conservation and Pharmacology, having authored 10 papers that have together received 557 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (7 papers), Water resources management and optimization (5 papers), Fish Ecology and Management Studies (3 papers), Flood Risk Assessment and Management (2 papers), Plant Water Relations and Carbon Dynamics (2 papers), Land Use and Ecosystem Services (2 papers), Hydrology and Drought Analysis (1 paper) and Soil erosion and sediment transport (1 paper). The work is most often cited by research in Water Science and Technology (199 citations), Global and Planetary Change (293 citations), Nature and Landscape Conservation (99 citations), Ecology (149 citations) and Ocean Engineering (88 citations). Leonardo Sáenz has collaborated with scholars based in United States, United Kingdom and Mexico. Frequent co-authors include Mark Mulligan, Arnout van Soesbergen, T. Farrell, C. J. Vörösmarty, Ian Harrison, Pamela Green, Diego Juffe‐Bignoli, Heidi Asbjornsen, Alex Mayer and Randall K. Kolka. Their work appears in journals such as Ecosystem Services, BioScience, Journal of Hydrology, Global Ecology and Conservation and Hydrological Processes.

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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