Database litterature review "hydrological and water quality variables to define parameters of interest for decision making"

This document contains the comprehensive databases downloaded from Web of Science relating to the two search functions, the transparency of the selection processes for both databases and the final database that led to the analysis. Elements of the analysis are also attached.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-02
DOI
https://doi.org/10.5281/zenodo.13628907
Primary Topic
Water Quality and Pollution Assessment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Database litterature review "hydrological and water quality variables to define parameters of interest for decision making"

Zenodo (CERN European Organization for Nuclear Research)
Water Quality and Pollution Assessment
article

Database litterature review "hydrological and water quality variables to define parameters of interest for decision making"

article en

Abstract

This document contains the comprehensive databases downloaded from Web of Science relating to the two search functions, the transparency of the selection processes for both databases and the final database that led to the analysis. Elements of the analysis are also attached.

Zenodo (CERN European Organization for Nuclear Research)
Pontificia Universidad Católica de Chile (CL), Université Toulouse - Jean Jaurès (FR), Universidad de Los Lagos (CL), Universidad de Magallanes (CL)
Clean water and sanitation
Openalex Percentile: Top 60%
Water Quality and Pollution Assessment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.