Taïs Grippa

2.0k total citations · 1 hit paper
47 papers, 1.4k citations indexed

About

Taïs Grippa is a scholar working on Global and Planetary Change, Media Technology and Atmospheric Science. According to data from OpenAlex, Taïs Grippa has authored 47 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Global and Planetary Change, 22 papers in Media Technology and 13 papers in Atmospheric Science. Recurrent topics in Taïs Grippa's work include Land Use and Ecosystem Services (30 papers), Remote-Sensing Image Classification (22 papers) and Impact of Light on Environment and Health (12 papers). Taïs Grippa is often cited by papers focused on Land Use and Ecosystem Services (30 papers), Remote-Sensing Image Classification (22 papers) and Impact of Light on Environment and Health (12 papers). Taïs Grippa collaborates with scholars based in Belgium, Netherlands and United Kingdom. Taïs Grippa's co-authors include Sabine Vanhuysse, Éléonore Wolff, Moritz Lennert, Stefanos Georganos, Michal Shimoni, Nicholus Mboga, Stamatis Kalogirou, Catherine Linard, Assane Gadiaga and Nathalie Stéphenne and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing and ISPRS Journal of Photogrammetry and Remote Sensing.

In The Last Decade

Taïs Grippa

45 papers receiving 1.4k 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.

Geographical random forests: a spatial extension of the random forest algorithm to address spatial heterogeneity in remote sensing and population modelling

2019 303 citations Stefanos Georganos, Taïs Grippa et al. profile →

Peers

Taïs Grippa

GPC

ECOLO

Moritz Lennert Belgium

Sabine Vanhuysse Belgium

Stefanos Georganos Belgium

Yuehong Chen China

Vasileios Syrris Italy

Wieke Heldens Germany

Fang Qiu United States

Julian Zeidler Germany

Corina da Costa Freitas Brazil

Moritz Lennert Belgium

Taïs Grippa

573 ×0.9

GPC

359 ×1.0

ECOLO

313 ×0.9

314 ×1.0

213 ×1.0

Citations per year, relative to Taïs Grippa Taïs Grippa (= 1×) peers Moritz Lennert

Countries citing papers authored by Taïs Grippa

Since Specialization

Citations

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

Fields of papers citing papers by Taïs Grippa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taïs Grippa

This figure shows the co-authorship network connecting the top 25 collaborators of Taïs Grippa. A scholar is included among the top collaborators of Taïs Grippa 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 Taïs Grippa. Taïs Grippa 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

Vanhuysse, Sabine, Seynabou Mocote Diédhiou, Taïs Grippa, et al.. (2023). Fine-scale mapping of urban malaria exposure under data scarcity: an approach centred on vector ecology. Malaria Journal. 22(1). 113–113. 4 indexed citations

Demissie, Biadgilgn, et al.. (2023). Using Sentinel-1 and Google Earth Engine cloud computing for detecting historical flood hazards in tropical urban regions: a case of Dar es Salaam. Geomatics Natural Hazards and Risk. 14(1). 8 indexed citations

Grippa, Taïs, et al.. (2022). UAV-Based Landfill Land Cover Mapping: Optimizing Data Acquisition and Open-Source Processing Protocols. Drones. 6(5). 123–123. 13 indexed citations

Grippa, Taïs & Frédéric Dobruszkes. (2022). You’re Surrounded! Measuring the Enclosure of Airports in Urban Areas. The Professional Geographer. 75(1). 102–117.

Gadiaga, Assane, Florence De Longueville, Taïs Grippa, et al.. (2021). Neighbourhood-level housing quality indices for health assessment in Dakar, Senegal. Geospatial health. 16(1). 3 indexed citations

Grippa, Taïs, et al.. (2021). A user-driven process for INSPIRE-compliant land use database: example from Wallonia, Belgium. Annals of GIS. 27(2). 211–224. 2 indexed citations

Grippa, Taïs, et al.. (2021). UAVs for Fine-Scale Open-Source Landfill Mapping. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 8217–8220. 3 indexed citations

Mboga, Nicholus, Stefano D’Aronco, Taïs Grippa, et al.. (2021). Domain Adaptation for Semantic Segmentation of Historical Panchromatic Orthomosaics in Central Africa. ISPRS International Journal of Geo-Information. 10(8). 523–523. 10 indexed citations

Radoux, Julien, Taïs Grippa, Moritz Lennert, et al.. (2020). First 1-M Resolution Land Cover Map Labeling the Overlap in the 3rd Dimension: The 2018 Map for Wallonia. Data. 5(4). 117–117. 6 indexed citations

10.

Thomson, Dana R., Monika Kuffer, Gianluca Boo, et al.. (2020). Need for an Integrated Deprived Area “Slum” Mapping System (IDEAMAPS) in Low- and Middle-Income Countries (LMICs). Social Sciences. 9(5). 80–80. 46 indexed citations

11.

Georganos, Stefanos & Taïs Grippa. (2020). Kampala Very-High-Resolution Land Cover Map. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations

12.

Georganos, Stefanos, Oscar Brousse, Sébastien Dujardin, et al.. (2020). Modelling and mapping the intra-urban spatial distribution of Plasmodium falciparum parasite rate using very-high-resolution satellite derived indicators. International Journal of Health Geographics. 19(1). 38–38. 22 indexed citations

13.

Mboga, Nicholus, Taïs Grippa, Stefanos Georganos, et al.. (2020). Fully convolutional networks for land cover classification from historical panchromatic aerial photographs. ISPRS Journal of Photogrammetry and Remote Sensing. 167. 385–395. 40 indexed citations

14.

Thomson, Dana R., Catherine Linard, Sabine Vanhuysse, et al.. (2019). Extending Data for Urban Health Decision-Making: a Menu of New and Potential Neighborhood-Level Health Determinants Datasets in LMICs. Journal of Urban Health. 96(4). 514–536. 20 indexed citations

15.

Wolff, Éléonore, Taïs Grippa, Stefanos Georganos, et al.. (2018). Diversity of urban growth patterns in Sub-Saharan Africa. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 1 indexed citations

16.

Georganos, Stefanos, Taïs Grippa, Sabine Vanhuysse, et al.. (2018). Very High Resolution Object-Based Land Use–Land Cover Urban Classification Using Extreme Gradient Boosting. IEEE Geoscience and Remote Sensing Letters. 15(4). 607–611. 214 indexed citations

17.

Grippa, Taïs, Stefanos Georganos, Sabine Vanhuysse, Moritz Lennert, & Éléonore Wolff. (2017). A local segmentation parameter optimization approach for mapping heterogeneous urban environments using VHR imagery. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 5. 20–20. 17 indexed citations

18.

Grippa, Taïs, et al.. (2017). Toward an operational framework for fine-scale urban land-cover mapping in Wallonia using submeter remote sensing and ancillary vector data. Journal of Applied Remote Sensing. 11(3). 1–1. 11 indexed citations

19.

Grippa, Taïs, et al.. (2016). An open-source semi-automated processing chain for urban obia classification. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 10 indexed citations

20.

Shimoni, Michal, Éléonore Wolff, Caroline Michellier, et al.. (2015). An urban expansion model for African cities using fused multi temporal optical and SAR data. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 1159–1162. 4 indexed citations

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