Margarida Tomé

7.1k total citations · 1 hit paper
159 papers, 4.9k citations indexed

About

Margarida Tomé is a scholar working on Nature and Landscape Conservation, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Margarida Tomé has authored 159 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Nature and Landscape Conservation, 68 papers in Global and Planetary Change and 39 papers in Environmental Engineering. Recurrent topics in Margarida Tomé's work include Forest ecology and management (115 papers), Forest Management and Policy (39 papers) and Remote Sensing and LiDAR Applications (33 papers). Margarida Tomé is often cited by papers focused on Forest ecology and management (115 papers), Forest Management and Policy (39 papers) and Remote Sensing and LiDAR Applications (33 papers). Margarida Tomé collaborates with scholars based in Portugal, Spain and Brazil. Margarida Tomé's co-authors include Harold E. Burkhart, Paula Soares, José Tomé, Joana Amaral Paulo, Susana Barreiro, Juan Guerra-Hernández, J.H.N. Palma, Eduardo González‐Ferreiro, Sónia Pacheco Faias and Felipe Crecente-Campo and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Remote Sensing of Environment.

In The Last Decade

Margarida Tomé

156 papers receiving 4.6k citations

Hit Papers

Modeling Forest Trees and Stands 2012 2026 2016 2021 2012 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Margarida Tomé Portugal 35 3.2k 2.5k 1.7k 757 715 159 4.9k
Klaus von Gadow Germany 37 3.6k 1.1× 2.6k 1.1× 1.1k 0.7× 673 0.9× 739 1.0× 235 4.9k
Aaron R. Weiskittel United States 36 3.7k 1.1× 3.1k 1.2× 1.6k 1.0× 714 0.9× 716 1.0× 213 4.9k
Harold E. Burkhart United States 41 5.5k 1.7× 3.5k 1.4× 2.4k 1.4× 1.6k 2.1× 442 0.6× 224 6.2k
Laurent Saint‐André France 33 2.0k 0.6× 1.6k 0.7× 574 0.3× 533 0.7× 620 0.9× 115 3.9k
Isabel Cañellas Spain 38 3.1k 1.0× 3.0k 1.2× 677 0.4× 388 0.5× 619 0.9× 204 4.9k
Miren del Rı́o Spain 42 3.9k 1.2× 3.5k 1.4× 784 0.5× 516 0.7× 411 0.6× 138 4.9k
Raisa Mäkipää Finland 44 2.6k 0.8× 2.9k 1.2× 1.3k 0.8× 335 0.4× 1.7k 2.4× 141 5.9k
Michael S. Watt New Zealand 37 2.1k 0.6× 1.3k 0.5× 1.3k 0.8× 621 0.8× 1.4k 2.0× 209 4.5k
Hubert Hasenauer Austria 34 2.2k 0.7× 2.5k 1.0× 693 0.4× 275 0.4× 627 0.9× 136 3.6k
David I. Forrester Germany 51 6.1k 1.9× 5.2k 2.1× 714 0.4× 460 0.6× 1.1k 1.5× 126 8.5k

Countries citing papers authored by Margarida Tomé

Since Specialization
Citations

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

Fields of papers citing papers by Margarida Tomé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margarida Tomé

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

All Works

20 of 20 papers shown
1.
Correia, Alexandra C., et al.. (2024). Fertirrigation in grafted Pinus pinea L. trees: denser crowns but no effect on cone production or masting cycles. Forest Ecology and Management. 569. 122164–122164.
2.
Soares, Paula, et al.. (2024). Optimal forest management under climate change variability. Ecological Economics. 225. 108322–108322. 6 indexed citations
3.
Barreiro, Susana, et al.. (2023). A cost-benefit analysis for the management of Gonipterus platensis by comparing chemical and augmentative biological control. Forest Ecology and Management. 548. 121333–121333. 3 indexed citations
4.
Tomé, Margarida, et al.. (2023). Quercus suber Allometry in the West Mediterranean Basin. Forests. 14(3). 649–649. 3 indexed citations
5.
Barreiro, Susana, et al.. (2023). The Importance of Using Permanent Plots Data to Fit the Self-Thinning Line: An Example for Maritime Pine Stands in Portugal. Forests. 14(7). 1354–1354. 3 indexed citations
6.
Tomé, Margarida, Maria Helena Almeida, Susana Barreiro, et al.. (2021). Opportunities and challenges of Eucalyptus plantations in Europe: the Iberian Peninsula experience. European Journal of Forest Research. 140(3). 489–510. 59 indexed citations
7.
Reynolds, Keith M., José G. Borges, Vladimir A. Bushenkov, et al.. (2019). Web-Based Forest Resources Management Decision Support System. Forests. 10(12). 1079–1079. 19 indexed citations
8.
Crous-Durán, Josep, et al.. (2019). Assessing food sustainable intensification potential of agroforestry using a carbon balance method. iForest - Biogeosciences and Forestry. 12(1). 85–91. 12 indexed citations
9.
Botequim, Brigite, Jordi García-Gonzalo, Andreia Silva, et al.. (2017). Modeling Post-Fire Mortality in Pure and Mixed Forest Stands in Portugal—A Forest Planning-Oriented Model. Sustainability. 9(3). 390–390. 19 indexed citations
10.
Barreiro, Susana, et al.. (2016). StandsSIM-MD: a Management Driven forest SIMulator. Forest Systems. 25(2). eRC07–eRC07. 21 indexed citations
11.
Ferraz, António, Sassan Saatchi, Clément Mallet, et al.. (2016). Airborne Lidar Estimation of Aboveground Forest Biomass in the Absence of Field Inventory. Remote Sensing. 8(8). 653–653. 48 indexed citations
12.
Botequim, Brigite, et al.. (2013). Developing wildfire risk probability models for Eucalyptus globulus stands in Portugal. iForest - Biogeosciences and Forestry. 6(4). 217–227. 28 indexed citations
13.
Paulo, Joana Amaral & Margarida Tomé. (2009). An Individual Tree Growth Model for Juvenile Cork Oak Stands in Southern Portugal. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 17(1). 27–38. 10 indexed citations
14.
Correia, Alexandra C., et al.. (2008). Ajustamento Simultâneo de Equações de Biomassa de Pinheiro Manso no Sul de Portugal. University of Lisbon Repository (University of Lisbon). 16(2). 197–205. 7 indexed citations
15.
Tomé, Margarida, et al.. (2007). Equação de Volume Total, Volume Percentual e de Perfil do Tronco para Eucalyptus globulus Labill. em Portugal. University of Lisbon Repository (University of Lisbon). 1 indexed citations
16.
Tomé, Margarida, et al.. (2007). Model evaluation: from model components to sustainable forest management indicators. Dialnet (Universidad de la Rioja). 27–34. 3 indexed citations
17.
Palahí, Marc, Jari Miina, Margarida Tomé, & G. Montero. (2002). Stand-level yield model for Scots pine (Pinus sylvestris L.) in north-east Spain. Forest Systems. 11(2). 409–424. 16 indexed citations
18.
Madeira, M., et al.. (2002). Efeitos da lavoura profunda e da gradagem nas características do solo e na produtividade de plantações de Eucalyptus globulus. Revista de Ciências Agrárias. 158–169. 3 indexed citations
19.
Tomé, Margarida, C. Borrego, & D. X. Viegas. (2002). Fighting wildfires with retardants applied with airplanes.. 2 indexed citations
20.
Reed, David D., et al.. (1998). Modeling Dominant Height Growth: Eucalyptus Plantations in Portugal. Forest Science. 44(1). 37–46. 65 indexed citations

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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