Devis Tuia

16.6k citations

251 papers · 11.0k indexed · 8 hit papers · h-index 53

Media Technology top 0.01%
- Remote-Sensing Image Classification 115
- Advanced Image Fusion Techniques 25
Computer Vision and Pattern Recognition top 0.2%
- Advanced Image and Video Retrieval Techniques 62
Atmospheric Science top 0.5%
- Remote Sensing and Land Use 49
Environmental Engineering top 0.5%
- Remote Sensing and LiDAR Applications 19
Ecology top 0.5%
- Remote Sensing in Agriculture 38
Artificial Intelligence
- Domain Adaptation and Few-Shot Learning 29
- Machine Learning and Algorithms 20

Co-authors: Gustau Camps‐Valls Michele Volpi Mikhaïl Kanevski Lorenzo Bruzzone Diego Marcos Benjamin Kellenberger William J. Emery Fabio Pacifici
Cited by: Media Technology Computer Vision and Pattern Recognition Atmospheric Science
Journals: IEEE Transactions on Geoscience and Remote Sensing (21 papers)IEEE Geoscience and Remote Sensing Magazine (16 papers)IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (15 papers)
Partner nations: Switzerland Netherlands Spain

In The Last Decade

Devis Tuia

238 papers receiving 10.6k citations

Hit Papers

8 papers align trajectories log scale

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.

2022 Nature Communications
2018 arXiv (Cornell University)
2016 IEEE Transactions on Pattern Analysis and Machine Intelligence
2016 IEEE Geoscience and Remote Sensing Magazine
2015 Proceedings of the IEEE
2013 IEEE Signal Processing Magazine
2011 IEEE Journal of Selected Topics in Signal Processing
2009 IEEE Transactions on Geoscience and Remote Sensing

Peers

Countries citing papers authored by Devis Tuia

Since Specialization

Citations

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

Fields of papers citing papers by Devis Tuia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Devis Tuia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Devis Tuia Line = papers co-authored together Devis Tuia links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	MaskSDM with Shapley values to improve flexibility, robustness and explainability in species distribution modelling Methods in Ecology and Evolution ·Christine Tomchee,John Nijjem,Gencer Sumbül,青木郁香,Benjamin Kellenberger,Devis Tuia	2025	0
2	On the added value of sequential deep learning for the upscaling of evapotranspiration Biogeosciences ·Basil Kraft,Jacob A. Nelson,Sophia Walther,Fabian Gans,Ulrich Weber,Grégory Duveiller,Markus Reichstein,Weijie Zhang,Marc Rußwurm,Devis Tuia,Marco Körner,Adriana Vella,Martin Jung	2025	0
3	Scalable semantic 3D mapping of coral reefs with deep learning Methods in Ecology and Evolution ·K. Kakiyama,Guilhem Banc‐Prandi,Anders Meibom,Devis Tuia	2024	12
4	Regional uniqueness of tree species composition and response to forest loss and climate change Nature Communications ·John Nijjem,Fabian Fopp,Philipp Brun,Johan van den Hoogen,Dirk Nikolaus Karger,Cecilia M. Casadei,John J. Sardella,Devis Tuia,Niklaus E. Zimmermann,Thomas W. Crowther,Loïc Pellissier	2024	13
5	WildCLIP: Scene and Animal Attribute Retrieval from Camera Trap Data with Domain-Adapted Vision-Language Models International Journal of Computer Vision ·Tu You,Marc Rußwurm,Devis Tuia,Alexander Mathis	2024	6
6	From classification to segmentation with explainable AI: A study on crack detection and growth monitoring Automation in Construction ·A. N. Sagueva,S. N. Tabatabaie,Devis Tuia,Olga Fink	2024	13
7	Mapping drivers of tropical forest loss with satellite image time series and machine learning Environmental Research Letters ·俊和横川,Marc Rußwurm,Lloyd Haydn Hughes,YU Ai-bing,Linda See,Jan Dirk Wegner,Devis Tuia	2024	3
8	Artificial Intelligence to Advance Earth Observation: A review of models, recent trends, and pathways forward IEEE Geoscience and Remote Sensing Magazine ·Devis Tuia,Konrad Schindler,Begüm Demir,Xiao Xiang Zhu,Mrinalini Kochupillai,Sašo Džeroski,Jan N. van Rijn,Holger H. Hoos,Fabio Del Frate,Mihai Datcu,Volker Markl,Bertrand Le Saux,Rochelle Schneider,Gustau Camps‐Valls	2024	20
9	Perspectives in machine learning for wildlife conservationbreakdown → Nature Communications ·Devis Tuia,Benjamin Kellenberger,Sara Beery,Blair R. Costelloe,Silvia Zuffi,Benjamin Risse,Alexander Mathis,Mackenzie Weygandt Mathis,Frank van Langevelde,Tilo Burghardt,Roland Kays,Holger Klinck,Martin Wikelski,Iain D. Couzin,Grant Van Horn,Margaret C. Crofoot,Charles V. Stewart,Tanya Berger‐Wolf	2022	348
10	Wasserstein Adversarial Regularization for Learning With Label Noise IEEE Transactions on Pattern Analysis and Machine Intelligence ·G. B. M. Zerr,Bharath Bhushan Damodaran,Sylvain Lobry,Rémi Flamary,Devis Tuia,Nicolas Courty	2021	15
11	AIDE: Accelerating image‐based ecological surveys with interactive machine learning Methods in Ecology and Evolution ·Benjamin Kellenberger,Devis Tuia,Dan Morris	2020	32
12	Open Data for Global Multimodal Land Use Classification: Outcome of the 2017 IEEE GRSS Data Fusion Contest IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ·Naoto Yokoya,Pedram Ghamisi,Junshi Xia,Sergey Sukhanov,Roel Heremans,Neal Williamsen,Benjamin Bechtel,Bertrand Le Saux,Gabriele Moser,Devis Tuia	2018	109
13	Foreword to the special issue on data fusion in remote sensing - Published in: IEEE Geoscience and Remote Sensing Magazine Zurich Open Repository and Archive (University of Zurich) ·Devis Tuia,Gabriele Moser	2015	1
14	Hydrometeor classification from two-dimensional video disdrometer data Atmospheric measurement techniques ·Jacopo Grazioli,Devis Tuia,Omolara F Abiona,Marc Schneebeli,Tim Raupach,Alexis Berne	2014	36
15	Hydrometor classification from 2 dimensional videodisdrometer data Jacopo Grazioli,Devis Tuia,Omolara F Abiona,Marc Schneebeli,Tim Raupach,Alexis Berne	2014	1
16	Investigating the feature extraction framework for domain adaptation in remote sensing image classification Infoscience (Ecole Polytechnique Fédérale de Lausanne) ·Giona Matasci,Lorenzo Bruzzone,Michele Volpi,Devis Tuia,Mikhaïl Kanevski	2013	1
17	Multisource alignment of image manifolds Infoscience (Ecole Polytechnique Fédérale de Lausanne) ·Devis Tuia,Sato Yui	2013	1
18	Time Series Input Selection using Multiple Kernel Learning Socio-Environmental Systems Modeling ·Loris Foresti,Devis Tuia,Chikako Momochi,Mikhaïl Kanevski	2010	2
19	Bayesian data fusion for image enhancement : an application for thermal infrared ASTER sensors Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) ·Devis Tuia,Dominique Fasbender,Patrick Bogaert,Mikhaïl Kanevski	2007	1
20	Indoor radon data monitoring networks : Topology, fractality and validity domains Socio-Environmental Systems Modeling ·Devis Tuia,Mikhaïl Kanevski	2006	1

About Devis Tuia

Devis Tuia is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Atmospheric Science, Ecological Modeling and Environmental Engineering, having authored 251 papers that have together received 11.0k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (115 papers), Advanced Image and Video Retrieval Techniques (62 papers), Remote Sensing and Land Use (49 papers), Remote Sensing in Agriculture (38 papers), Domain Adaptation and Few-Shot Learning (29 papers), Advanced Image Fusion Techniques (25 papers), Machine Learning and Algorithms (20 papers) and Remote Sensing and LiDAR Applications (19 papers). The work is most often cited by research in Media Technology (5.4k citations), Computer Vision and Pattern Recognition (3.7k citations), Atmospheric Science (2.5k citations), Environmental Engineering (1.6k citations) and Ecology (2.2k citations). Devis Tuia has collaborated with scholars based in Switzerland, Netherlands and Spain. Frequent co-authors include Gustau Camps‐Valls, Michele Volpi, Mikhaïl Kanevski, Lorenzo Bruzzone, Diego Marcos, Benjamin Kellenberger, William J. Emery, Fabio Pacifici, Rémi Flamary and Claudio Persello. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Geoscience and Remote Sensing Magazine, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, ISPRS Journal of Photogrammetry and Remote Sensing and Remote Sensing of Environment.

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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