Caroline Gevaert

2.4k total citations · 1 hit paper
46 papers, 1.4k citations indexed

About

Caroline Gevaert is a scholar working on Environmental Engineering, Media Technology and Geology. According to data from OpenAlex, Caroline Gevaert has authored 46 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Environmental Engineering, 17 papers in Media Technology and 12 papers in Geology. Recurrent topics in Caroline Gevaert's work include Remote Sensing and LiDAR Applications (20 papers), Remote-Sensing Image Classification (16 papers) and 3D Surveying and Cultural Heritage (12 papers). Caroline Gevaert is often cited by papers focused on Remote Sensing and LiDAR Applications (20 papers), Remote-Sensing Image Classification (16 papers) and 3D Surveying and Cultural Heritage (12 papers). Caroline Gevaert collaborates with scholars based in Netherlands, Germany and Spain. Caroline Gevaert's co-authors include Francisco Javier Garcı́a-Haro, Claudio Persello, Lammert Kooistra, Juha Suomalainen, Jing Tang, George Vosselman, Richard Sliuzas, Francesco Nex, Sander Oude Elberink and Yola Georgiadou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Scientific Reports.

In The Last Decade

Caroline Gevaert

43 papers receiving 1.3k citations

Hit Papers

A comparison of STARFM and an unmixing-based algorithm fo... 2014 2026 2018 2022 2014 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Caroline Gevaert Netherlands 18 475 471 438 320 246 46 1.4k
Quanlong Feng China 23 673 1.4× 448 1.0× 869 2.0× 693 2.2× 349 1.4× 53 2.0k
Fang Qiu United States 22 494 1.0× 322 0.7× 498 1.1× 405 1.3× 180 0.7× 52 1.4k
Xinchang Zhang China 17 439 0.9× 413 0.9× 223 0.5× 237 0.7× 185 0.8× 51 1.2k
Christian Geiß Germany 23 252 0.5× 510 1.1× 236 0.5× 449 1.4× 330 1.3× 69 1.3k
Michal Shimoni Belgium 15 320 0.7× 817 1.7× 313 0.7× 261 0.8× 338 1.4× 66 1.6k
Manfred Ehlers Germany 22 371 0.8× 939 2.0× 487 1.1× 298 0.9× 275 1.1× 73 2.0k
Isabel Sargent United Kingdom 9 333 0.7× 695 1.5× 428 1.0× 360 1.1× 335 1.4× 19 1.3k
Christopher D. Lippitt United States 19 376 0.8× 178 0.4× 476 1.1× 1.1k 3.4× 228 0.9× 56 1.8k
Jixian Zhang China 17 290 0.6× 512 1.1× 291 0.7× 174 0.5× 189 0.8× 106 1.4k
Eufemia Tarantino Italy 18 308 0.6× 204 0.4× 442 1.0× 457 1.4× 146 0.6× 68 1.1k

Countries citing papers authored by Caroline Gevaert

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Gevaert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caroline Gevaert

This figure shows the co-authorship network connecting the top 25 collaborators of Caroline Gevaert. A scholar is included among the top collaborators of Caroline Gevaert 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 Caroline Gevaert. Caroline Gevaert 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.
Ghamisi, Pedram, Weikang Yu, Andrea Marinoni, et al.. (2025). Responsible Artificial Intelligence for Earth Observation: Achievable and realistic paths to serve the collective good. IEEE Geoscience and Remote Sensing Magazine. 13(3). 72–96. 3 indexed citations
2.
Gevaert, Caroline, et al.. (2025). Explainable few-shot learning workflow for detecting invasive and exotic tree species. Scientific Reports. 15(1). 23238–23238.
3.
Roscher, Ribana, Marc Rußwurm, Caroline Gevaert, et al.. (2025). Better, Not Just More: Data-centric machine learning for Earth observation. IEEE Geoscience and Remote Sensing Magazine. 13(3). 512–532.
4.
Gevaert, Caroline, et al.. (2024). Auditing Geospatial Datasets for Biases: Using Global Building Datasets for Disaster Risk Management. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 12579–12590. 11 indexed citations
5.
Gevaert, Caroline, et al.. (2024). Auditing Flood Vulnerability Geo-Intelligence Workflow for Biases. ISPRS International Journal of Geo-Information. 13(12). 419–419.
6.
Roscher, Ribana, Marc Rußwurm, Caroline Gevaert, et al.. (2024). Better, Not Just More: Data-centric machine learning for Earth observation. IEEE Geoscience and Remote Sensing Magazine. 12(4). 335–355. 4 indexed citations
7.
Gevaert, Caroline, et al.. (2023). Group-Privacy Threats for Geodata in the Humanitarian Context. ISPRS International Journal of Geo-Information. 12(10). 393–393. 1 indexed citations
8.
Micheli, Marina, Caroline Gevaert, Mary Carman, et al.. (2022). AI ethics and data governance in the geospatial domain of Digital Earth. Big Data & Society. 9(2). 11 indexed citations
9.
Gevaert, Caroline, Mary Carman, Benjamin Rosman, Yola Georgiadou, & Robert Soden. (2021). Fairness and accountability of AI in disaster risk management: Opportunities and challenges. Patterns. 2(11). 100363–100363. 47 indexed citations
10.
Homberg, Marc van den, Caroline Gevaert, & Yola Georgiadou. (2020). The Changing Face of Accountability in Humanitarianism: Using Artificial Intelligence for Anticipatory Action. Politics and Governance. 8(4). 456–467. 29 indexed citations
11.
Kohli, Divyani, Monika Kuffer, & Caroline Gevaert. (2019). The Generic Slum Ontology: Can a Global Slum Repository be created?. University of Twente Research Information. 1–4. 5 indexed citations
12.
Persello, Claudio, et al.. (2018). FULLY CONVOLUTIONAL NETWORKS FOR GROUND CLASSIFICATION FROM LIDAR POINT CLOUDS. SHILAP Revista de lepidopterología. IV-2. 231–238. 32 indexed citations
13.
Persello, Claudio, et al.. (2018). Ground and Multi-Class Classification of Airborne Laser Scanner Point Clouds Using Fully Convolutional Networks. Remote Sensing. 10(11). 1723–1723. 44 indexed citations
14.
Sliuzas, Richard, Monika Kuffer, Caroline Gevaert, Claudio Persello, & Karin Pfeffer. (2017). Slum mapping. 2 indexed citations
15.
Gevaert, Caroline, Claudio Persello, Richard Sliuzas, & George Vosselman. (2017). Informal settlement classification using point-cloud and image-based features from UAV data. ISPRS Journal of Photogrammetry and Remote Sensing. 125. 225–236. 64 indexed citations
16.
Gevaert, Caroline, Claudio Persello, Sander Oude Elberink, George Vosselman, & Richard Sliuzas. (2017). An automated technique for basemap updating using UAV data. University of Twente Research Information. 1–4. 1 indexed citations
17.
Gevaert, Caroline, Richard Sliuzas, Claudio Persello, & George Vosselman. (2017). Opportunities for UAV mapping to support unplanned settlement upgrading. 1(1S). 13 indexed citations
18.
Gevaert, Caroline, et al.. (2016). CLASSIFICATION OF INFORMAL SETTLEMENTS THROUGH THE INTEGRATION OF 2D AND 3D FEATURES EXTRACTED FROM UAV DATA. ISPRS annals of the photogrammetry, remote sensing and spatial information sciences. III-3. 317–324. 8 indexed citations
19.
Koeva, Mila, et al.. (2015). A photogrammetric approach for map updating using UAV in Rwanda. University of Twente Research Information. 1–16. 14 indexed citations
20.
Gevaert, Caroline. (2014). Combining hyperspectral UAV and mulitspectral FORMOSAT-2 imagery for precision agriculture applications. Lund University Publications Student Papers (Lund University). 3 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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