Pedro Marques

2.4k total citations · 1 hit paper
58 papers, 1.8k citations indexed

About

Pedro Marques is a scholar working on Environmental Engineering, Ecology and Plant Science. According to data from OpenAlex, Pedro Marques has authored 58 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Environmental Engineering, 21 papers in Ecology and 18 papers in Plant Science. Recurrent topics in Pedro Marques's work include Remote Sensing in Agriculture (19 papers), Remote Sensing and LiDAR Applications (16 papers) and Horticultural and Viticultural Research (13 papers). Pedro Marques is often cited by papers focused on Remote Sensing in Agriculture (19 papers), Remote Sensing and LiDAR Applications (16 papers) and Horticultural and Viticultural Research (13 papers). Pedro Marques collaborates with scholars based in Portugal, Brazil and United Kingdom. Pedro Marques's co-authors include Fausto Freire, Rita Garcia, Luís Pádua, Joaquim J. Sousa, Emanuel Peres, Joaquim Delgado, Anı́bal T. de Almeida, Pedro Moura, Ricardo Faria and Nathalie Guimarães and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and The Science of The Total Environment.

In The Last Decade

Pedro Marques

50 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Forestry Remote Sensing from Unmanned Aerial Vehicles: A Review Focusing on the Data, Processing and Potentialities

2020 190 citations Nathalie Guimarães, Luís Pádua et al. Remote Sensing profile →

Peers

Countries citing papers authored by Pedro Marques

Since Specialization

Citations

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

Fields of papers citing papers by Pedro Marques

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pedro Marques

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Integrating UAV Multi-Temporal Imagery and Machine Learning to Assess Biophysical Parameters of Douro Grapevines 2025 ·Remote Sensing ·Pedro Marques, (unknown), Telmo Adão, Joaquim J. Sousa, Raul Morais, Emanuel Peres, Luís Pádua	0
2	Prone positioning for spinal surgery in achondroplasia: A case study report 2025 ·Journal of Perioperative Practice ·(unknown), Pedro Marques, Pedro Moura, (unknown), (unknown)	0
3	Advancements in Remote Sensing Imagery Applications for Precision Management in Olive Growing: A Systematic Review 2024 ·Remote Sensing ·Pedro Marques, Luís Pádua, Joaquim J. Sousa, Anabela Fernandes‐Silva	21
4	Detection of Leak Areas in Vineyard Irrigation Systems Using UAV-Based Data 2024 ·Drones ·Luís Pádua, Pedro Marques, Lia‐Tânia Dinis, José Moutinho‐Pereira, Joaquim J. Sousa, Raul Morais, Emanuel Peres	4
5	Assessing the Water Status and Leaf Pigment Content of Olive Trees: Evaluating the Potential and Feasibility of Unmanned Aerial Vehicle Multispectral and Thermal Data for Estimation Purposes 2023 ·Remote Sensing ·Pedro Marques, Luís Pádua, Joaquim J. Sousa, Anabela Fernandes‐Silva	18
6	Assessment of UAV thermal imagery to monitor water stress in olive trees 2023 ·Acta Horticulturae ·Pedro Marques, Luís Pádua, Joaquim J. Sousa, Anabela Fernandes‐Silva	2
7	Mapping the Leaf Area Index of Castanea sativa Miller Using UAV-Based Multispectral and Geometrical Data 2022 ·Drones ·Luís Pádua, (unknown), Pedro Marques, Joaquim J. Sousa, Emanuel Peres	8
8	Preliminary Assessment of the Relationship between Pigments in Olive Leaves and Vegetation Indices 2022 ·Proceedings of the Latvian Academy of Sciences Section B Natural Exact and Applied Sciences ·Pedro Marques, Rosa Carvalho, Anabela Fernandes‐Silva	2
9	Olive Oil Composition of Cv. Cobrançosa Is Affected by Regulated and Sustained Deficit Irrigation 2021 ·MDPI (MDPI AG) ·Anabela Fernandes‐Silva, Pedro Marques, (unknown), Luis A. Cañas, Rebeca Cruz, Susana Casal	1
10	How good are vegetation indices to assess water status and biochemical parameters in olive tree 2021 ·Pedro Marques, Rosa Carvalho, Anabela Fernandes‐Silva	1
11	Ecodesign approach for pharmaceutical packaging based on Life Cycle Assessment 2021 ·The Science of The Total Environment ·(unknown), Carla Rodrigues, Pedro Marques, Fausto Freire	29
12	Forestry Remote Sensing from Unmanned Aerial Vehicles: A Review Focusing on the Data, Processing and Potentialities breakdown → 2020 ·Remote Sensing ·Nathalie Guimarães, Luís Pádua, Pedro Marques, Nuno Silva, Emanuel Peres, Joaquim J. Sousa	190
13	Monitoring of Chestnut Trees Using Machine Learning Techniques Applied to UAV-Based Multispectral Data 2020 ·Remote Sensing ·Luís Pádua, Pedro Marques, (unknown), António Sousa, Emanuel Peres, Joaquim J. Sousa	26
14	Vineyard Classification Using Machine Learning Techniques Applied to RGB-UAV Imagery 2020 ·Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) ·Luís Pádua, Telmo Adão, Jonáš Hruška, Nathalie Guimarães, Pedro Marques, Emanuel Peres, Joaquim J. Sousa	11
15	Monitoring of Olive Trees Temperatures under Different Irrigation Strategies by UAV Thermal Infrared Imagery 2020 ·Pedro Marques, Luís Pádua, (unknown), Joaquim J. Sousa, Anabela Fernandes‐Silva	5
16	Procedural Modeling of Buildings Composed of Arbitrarily-Shaped Floor-Plans: Background, Progress, Contributions and Challenges of a Methodology Oriented to Cultural Heritage 2019 ·Computers ·Telmo Adão, Luís Pádua, Pedro Marques, Joaquim J. Sousa, Emanuel Peres, Luís Magalhães	9
17	UAV-Based Automatic Detection and Monitoring of Chestnut Trees 2019 ·Remote Sensing ·Pedro Marques, Luís Pádua, Telmo Adão, Jonáš Hruška, Emanuel Peres, António Sousa, Joaquim J. Sousa	69
18	Vineyard Variability Analysis through UAV-Based Vigour Maps to Assess Climate Change Impacts 2019 ·Agronomy ·Luís Pádua, Pedro Marques, Telmo Adão, Nathalie Guimarães, António Sousa, Emanuel Peres, Joaquim J. Sousa	55
19	Multi-Temporal Vineyard Monitoring through UAV-Based RGB Imagery 2018 ·Remote Sensing ·Luís Pádua, Pedro Marques, Jonáš Hruška, Telmo Adão, Emanuel Peres, Raul Morais, Joaquim J. Sousa	62
20	Vineyard properties extraction combining UAS-based RGB imagery with elevation data 2018 ·International Journal of Remote Sensing ·Luís Pádua, Pedro Marques, Jonáš Hruška, Telmo Adão, José Bessa, António Sousa, Emanuel Peres, Raul Morais, Joaquim J. Sousa	39

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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