Gil Gonçalves

2.7k total citations
71 papers, 1.8k citations indexed

About

Gil Gonçalves is a scholar working on Environmental Engineering, Pollution and Geology. According to data from OpenAlex, Gil Gonçalves has authored 71 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Environmental Engineering, 22 papers in Pollution and 21 papers in Geology. Recurrent topics in Gil Gonçalves's work include Remote Sensing and LiDAR Applications (36 papers), 3D Surveying and Cultural Heritage (21 papers) and Microplastics and Plastic Pollution (21 papers). Gil Gonçalves is often cited by papers focused on Remote Sensing and LiDAR Applications (36 papers), 3D Surveying and Cultural Heritage (21 papers) and Microplastics and Plastic Pollution (21 papers). Gil Gonçalves collaborates with scholars based in Portugal, Spain and United States. Gil Gonçalves's co-authors include Umberto Andriolo, Filipa Bessa, Paula Sobral, Luís Pinto, L. Gomes Pereira, Paula Soares, Margarida Tomé, Stéphane Jacquemoud, Álvaro Gómez‐Gutiérrez and António Ferraz and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Gil Gonçalves

63 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gil Gonçalves Portugal 26 730 693 409 332 231 71 1.8k
Daniel Clewley United Kingdom 20 593 0.8× 200 0.3× 513 1.3× 40 0.1× 91 0.4× 51 1.2k
Mateo Gašparović Croatia 24 722 1.0× 82 0.1× 696 1.7× 164 0.5× 27 0.1× 83 1.7k
Hongtao Wang China 10 1.1k 1.4× 97 0.1× 440 1.1× 564 1.7× 24 0.1× 18 1.3k
Kyriacos Themistocleous Cyprus 19 433 0.6× 100 0.1× 271 0.7× 437 1.3× 50 0.2× 132 1.6k
Colin Brooks United States 18 167 0.2× 57 0.1× 393 1.0× 150 0.5× 36 0.2× 81 1.1k
Caterina Valeo Canada 28 1.1k 1.5× 159 0.2× 181 0.4× 36 0.1× 156 0.7× 110 2.1k
Krištof Oštir Slovenia 17 948 1.3× 39 0.1× 317 0.8× 521 1.6× 26 0.1× 63 2.0k
Tarig Ali United Arab Emirates 15 200 0.3× 114 0.2× 151 0.4× 46 0.1× 108 0.5× 105 841
Fernando J. Aguilar Spain 28 1.1k 1.5× 43 0.1× 987 2.4× 329 1.0× 17 0.1× 95 2.4k

Countries citing papers authored by Gil Gonçalves

Since Specialization
Citations

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

Fields of papers citing papers by Gil Gonçalves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gil Gonçalves

This figure shows the co-authorship network connecting the top 25 collaborators of Gil Gonçalves. A scholar is included among the top collaborators of Gil Gonçalves 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 Gil Gonçalves. Gil Gonçalves 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.
2.
Andriolo, Umberto & Gil Gonçalves. (2025). Two decades of marine litter surveys on the North Atlantic Iberian coast: a spatial and temporal analysis of the OSPAR dataset for Portugal and Spain. Marine Pollution Bulletin. 218. 118210–118210. 1 indexed citations
3.
Kako, Shin’ichiro, Tomoya Kataoka, Daisuke Matsuoka, et al.. (2025). Remote sensing and image analysis of macro-plastic litter: A review. Marine Pollution Bulletin. 222(Pt 1). 118630–118630.
4.
Andriolo, Umberto & Gil Gonçalves. (2024). How much does marine litter weigh? A literature review to improve monitoring, support modelling and optimize clean-up activities. Environmental Pollution. 361. 124863–124863. 11 indexed citations
5.
Merlino, Silvia, Marina Locritani, Umberto Andriolo, et al.. (2023). Monitoring Beached Marine Litter With UAV: Advances in Detection Techniques and Citizen Science Contributions. 27–31.
6.
Gonçalves, Gil, et al.. (2022). COMBINING UNMANNED AERIAL SYSTEMS AND STRUCTURE FROM MOTION PHOTOGRAMMETRY TO RECONSTRUCT THE GEOMETRY OF GROINS. SHILAP Revista de lepidopterología. XLIII-B2-2022. 1003–1008. 1 indexed citations
7.
Andriolo, Umberto, Odei Garcia‐Garin, Morgana Vighi, Asunción Borrell, & Gil Gonçalves. (2022). Beached and Floating Litter Surveys by Unmanned Aerial Vehicles: Operational Analogies and Differences. Remote Sensing. 14(6). 1336–1336. 35 indexed citations
8.
Andriolo, Umberto, Gil Gonçalves, Paula Sobral, & Filipa Bessa. (2021). Spatial and size distribution of macro-litter on coastal dunes from drone images: A case study on the Atlantic coast. Marine Pollution Bulletin. 169. 112490–112490. 67 indexed citations
9.
Pinto, Luís, Umberto Andriolo, & Gil Gonçalves. (2021). Detecting stranded macro-litter categories on drone orthophoto by a multi-class Neural Network. Marine Pollution Bulletin. 169. 112594–112594. 34 indexed citations
10.
11.
Merlino, Silvia, Marco Paterni, Marina Locritani, et al.. (2021). Citizen Science for Marine Litter Detection and Classification on Unmanned Aerial Vehicle Images. Water. 13(23). 3349–3349. 46 indexed citations
12.
Manfreda, Salvatore, Helge Aasen, M. R. James, et al.. (2020). Current Practices in UAS-based Environmental Monitoring. Remote Sensing. 12(6). 1001–1001. 169 indexed citations
13.
Gonçalves, Gil, Umberto Andriolo, Luísa Gonçalves, Paula Sobral, & Filipa Bessa. (2020). Quantifying Marine Macro Litter Abundance on a Sandy Beach Using Unmanned Aerial Systems and Object-Oriented Machine Learning Methods. Remote Sensing. 12(16). 2599–2599. 68 indexed citations
14.
Gómez‐Gutiérrez, Álvaro & Gil Gonçalves. (2020). Surveying coastal cliffs using two UAV platforms (multirotor and fixed-wing) and three different approaches for the estimation of volumetric changes. International Journal of Remote Sensing. 41(21). 8143–8175. 50 indexed citations
15.
Andriolo, Umberto, et al.. (2020). Beach-dune morphodynamics and marine macro-litter abundance: An integrated approach with Unmanned Aerial System. The Science of The Total Environment. 749. 141474–141474. 60 indexed citations
16.
Gonçalves, Gil, et al.. (2020). Is intraoperative low tidal volume ventilation worse in patients with preexisting systemic inflammatory response? Our insights to Chugh et al. study. Journal of Anaesthesiology Clinical Pharmacology. 36(2). 271–271. 1 indexed citations
17.
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
18.
Gonçalves, Gil, et al.. (2015). AUTOMATIC EXTRACTION OF TIDE-COORDINATED SHORELINE USING OPEN SOURCE SOFTWARE AND LANDSAT IMAGERY. SHILAP Revista de lepidopterología. XL-7/W3. 953–957. 7 indexed citations
19.
Gonçalves, Gil & A. Jalobeanu. (2011). LiDAR bore-sight calibration: a comparative study. AGUFM. 2011. 3 indexed citations
20.
Gonçalves, Gil & L. Gomes Pereira. (2010). Assessment of the performance of eight filtering algorithms by using full-waveform LiDAR data of unmanaged eucalypt forest. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 187–196. 1 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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