María Castrillo

433 total citations
11 papers, 335 citations indexed

About

María Castrillo is a scholar working on Water Science and Technology, Renewable Energy, Sustainability and the Environment and Industrial and Manufacturing Engineering. According to data from OpenAlex, María Castrillo has authored 11 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Water Science and Technology, 4 papers in Renewable Energy, Sustainability and the Environment and 3 papers in Industrial and Manufacturing Engineering. Recurrent topics in María Castrillo's work include Hydrological Forecasting Using AI (3 papers), Algal biology and biofuel production (3 papers) and Wastewater Treatment and Nitrogen Removal (2 papers). María Castrillo is often cited by papers focused on Hydrological Forecasting Using AI (3 papers), Algal biology and biofuel production (3 papers) and Wastewater Treatment and Nitrogen Removal (2 papers). María Castrillo collaborates with scholars based in Spain, Italy and Germany. María Castrillo's co-authors include Álvaro López García, Iñaki Tejero Monzón, Rubén Díez-Montero, Ana Lorena Esteban García, Ignacio Heredia, C. Caso, Marianna Parlato, L. Zicarelli, A. Coletta and Fernando J. Aguilar and has published in prestigious journals such as The Science of The Total Environment, Water Research and Bioresource Technology.

In The Last Decade

María Castrillo

11 papers receiving 330 citations

Peers

María Castrillo
Comparison fields: 5 of 76
  • Water Science and Technology 158
  • Environmental Engineering 105
  • Renewable Energy, Sustainability and the Environment 91
  • Pollution 86
  • Industrial and Manufacturing Engineering 67
Replace Carlos Yebra-Montes with:
Carlos Yebra-Montes Mexico
Aloice W. Mayo Tanzania
Justin Lewis Australia
Gislayne Alves Oliveira Brazil
Dorottya Sarolta Wágner Denmark
I. Sekoulov Germany
Yuyu Wan China
Roberto Soto Bolivia
Zhan Jin China
Qichen Wang United States
Carlos Yebra-Montes Mexico View profile →
Citations per field, relative to María Castrillo
María Castrillo · 1×
Citations per year, relative to María Castrillo
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Countries citing papers authored by María Castrillo

Since Specialization
Citations

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

Fields of papers citing papers by María Castrillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of María Castrillo

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

All Works

11 of 11 papers shown
# Work Indexed citations
1 1
2 4
3 7
4 8
5 123
6 81
7 10
8 9
9 20
10 65
11 7

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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