Magda Pla

810 citations
17 papers · 516 · h-index 11

Impact in

Papers in

    • Species Distribution and Climate Change 6
    • Remote Sensing in Agriculture 5
    • Wildlife Ecology and Conservation 4

Magda Pla

15 papers receiving 497 citations

Peers

Magda Pla
Comparison fields: 5 of 58
  • Ecological Modeling 186
  • Nature and Landscape Conservation 163
  • Ecology 311
  • Environmental Engineering 139
  • Global and Planetary Change 150
Replace David C. Marvin with:
David C. Marvin United States
Klaus Ecker Switzerland
Tanya G. Bailey Australia
Fernando Tun‐Dzul Mexico
Ahmet Mert Türkiye
Andrej Palaj Slovakia
Pulchérie Bissiengou United States
Chris Toney United States
Annia Susin Streher Brazil
Khatuna Gigauri Austria
Magda Pla relative to David C. Marvin United States David C. Marvin's profile →
Citations per field
00.5×1.6×
David C. Marvin · 1×
Citations per year

Countries citing papers authored by Magda Pla

Since Specialization
Citations

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

Fields of papers citing papers by Magda Pla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2016117
2 200785
3 202151
4 201350
5 201940
6 201937
7 201836
8 201727
9 201921
10 201720
11 200611
12 20239
13 20246
14 20183
15 20253
16 20240
17 20240

About Magda Pla

Magda Pla is a scholar working on Ecological Modeling, Ecology, Global and Planetary Change, Environmental Engineering and Nature and Landscape Conservation, having authored 17 papers that have together received 516 indexed citations. Recurring topics across this work include Species Distribution and Climate Change (6 papers), Remote Sensing in Agriculture (5 papers), Remote Sensing and LiDAR Applications (4 papers), Land Use and Ecosystem Services (4 papers), Ecology and Vegetation Dynamics Studies (4 papers), Wildlife Ecology and Conservation (4 papers), Conservation, Biodiversity, and Resource Management (3 papers) and Fire effects on ecosystems (3 papers). The work is most often cited by research in Ecological Modeling (186 citations), Nature and Landscape Conservation (163 citations), Ecology (311 citations), Environmental Engineering (139 citations) and Global and Planetary Change (150 citations). Magda Pla has collaborated with scholars based in Spain, Australia and Sri Lanka. Frequent co-authors include Dani Villero Pi, Sergi Herrando, Jordi Ruiz‐Olmo, David Camps, Andrea Duane, Jordi Vayreda, Adrián Cardil Forradellas, Carlos Alberto Silva, Jordi Martínez‐vilalta and Pere Rovira. Their work appears in journals such as Biodiversity and Conservation, Drones, Bird Conservation International, Landscape and Urban Planning and Heliyon.

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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