María Pasalodos-Tato

554 citations
20 papers · 368 indexed · h-index 12

María Pasalodos-Tato

20 papers receiving 354 citations

Peers

María Pasalodos-Tato
Comparison fields: 5 of 54
  • Nature and Landscape Conservation 196
  • Global and Planetary Change 266
  • Environmental Engineering 86
  • Insect Science 47
  • Forestry 15
Replace Joseph Roise with:
Joseph Roise United States
Ane Zubizarreta-Gerendiain Finland
T. Vilén Finland
Martti Varmola Finland
Patricia Adame Spain
John Redmond Switzerland
Jean-Luc Peyron France
J. B. Ford-Robertson New Zealand
Ján Ďurský Slovakia
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Citations per field
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Citations per year

Countries citing papers authored by María Pasalodos-Tato

Since Specialization
Citations

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

Fields of papers citing papers by María Pasalodos-Tato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202320
2 20222
3 20229
4 201913
5 201818
6 20187
7 20177
8 201736
9 20176
10 201713
11 201628
12 201518
13 201547
14 201370
15 201023
16 20107
17
Models for the optimal management of Pinus radiata D. Don in Galicia (north-western Spain) under risk of fire.
200910
18 200917
19 20086
20 200711

About María Pasalodos-Tato

María Pasalodos-Tato is a scholar working on Nature and Landscape Conservation, Global and Planetary Change and Insect Science, having authored 20 papers that have together received 368 indexed citations. Recurring topics across this work include Forest ecology and management (15 papers), Forest Management and Policy (15 papers), Forest Biomass Utilization and Management (4 papers), Remote Sensing and LiDAR Applications (4 papers), Forest Ecology and Biodiversity Studies (4 papers), Fire effects on ecosystems (3 papers), Plant Surface Properties and Treatments (2 papers) and Plant Water Relations and Carbon Dynamics (2 papers). The work is most often cited by research in Nature and Landscape Conservation (196 citations), Global and Planetary Change (266 citations) and Environmental Engineering (86 citations). María Pasalodos-Tato has collaborated with scholars based in Spain, Finland and Portugal. Frequent co-authors include Timo Pukkala, Isabel Cañellas, Mariola Sánchez‐González, Gregorio Montero, José G. Borges, Tomas Lämås, A. Mäkinen, Miren del Rı́o, Jordi García-Gonzalo and Ljusk Ola Eriksson. Their work appears in journals such as Forest Ecology and Management, International Journal of Wildland Fire and Annals of Forest Science.

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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