Richard Gloaguen

8.9k total citations · 1 hit paper
267 papers, 6.8k citations indexed

About

Richard Gloaguen is a scholar working on Artificial Intelligence, Media Technology and Geophysics. According to data from OpenAlex, Richard Gloaguen has authored 267 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Artificial Intelligence, 92 papers in Media Technology and 48 papers in Geophysics. Recurrent topics in Richard Gloaguen's work include Geochemistry and Geologic Mapping (98 papers), Remote-Sensing Image Classification (90 papers) and Mineral Processing and Grinding (34 papers). Richard Gloaguen is often cited by papers focused on Geochemistry and Geologic Mapping (98 papers), Remote-Sensing Image Classification (90 papers) and Mineral Processing and Grinding (34 papers). Richard Gloaguen collaborates with scholars based in Germany, China and France. Richard Gloaguen's co-authors include Pedram Ghamisi, Christoff Andermann, Arsalan Ahmed Othman, Syed Amer Mahmood, Stéphane Bonnet, Robert Zimmermann, Behnood Rasti, Sandra Lorenz, Faisal Shahzad and Mahdi Khodadadzadeh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and The Journal of Physical Chemistry.

In The Last Decade

Richard Gloaguen

253 papers receiving 6.6k citations

Hit Papers

Multisource and Multitemporal Data Fusion in Remote Sensi... 2019 2026 2021 2023 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard Gloaguen Germany 45 1.7k 1.7k 1.5k 1.4k 1.3k 267 6.8k
Mazlan Hashim Malaysia 42 671 0.4× 3.1k 1.8× 2.5k 1.6× 1.8k 1.3× 540 0.4× 283 6.2k
Norman Kerle Netherlands 50 478 0.3× 672 0.4× 1.8k 1.2× 1.6k 1.2× 1.6k 1.2× 141 7.6k
Carlos Roberto de Souza Filho Brazil 38 922 0.5× 1.8k 1.1× 1.3k 0.9× 1.1k 0.8× 521 0.4× 185 4.8k
M. van der Meijde Netherlands 31 1.3k 0.8× 1.7k 1.0× 1.5k 1.0× 805 0.6× 379 0.3× 106 4.2k
F.D. van der Meer Netherlands 54 736 0.4× 4.8k 2.8× 4.9k 3.3× 3.2k 2.3× 1.4k 1.0× 246 10.9k
Guoqing Zhou China 46 433 0.3× 481 0.3× 456 0.3× 2.4k 1.7× 867 0.7× 478 7.2k
H.M.A. van der Werff Netherlands 29 325 0.2× 2.5k 1.5× 2.8k 1.9× 1.4k 1.0× 736 0.6× 103 5.4k
Qiuming Cheng China 52 2.0k 1.1× 7.5k 4.4× 3.8k 2.6× 3.4k 2.4× 472 0.4× 275 10.0k
Yasushi Yamaguchi Japan 39 304 0.2× 837 0.5× 1.1k 0.7× 2.0k 1.4× 2.0k 1.5× 159 6.8k
Simon J. Hook United States 55 459 0.3× 1.6k 1.0× 1.9k 1.3× 5.9k 4.2× 4.5k 3.4× 200 11.7k

Countries citing papers authored by Richard Gloaguen

Since Specialization
Citations

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

Fields of papers citing papers by Richard Gloaguen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Gloaguen

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Gloaguen. A scholar is included among the top collaborators of Richard Gloaguen 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 Richard Gloaguen. Richard Gloaguen 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.
Gloaguen, Richard, et al.. (2025). HyperPointFormer: Multimodal Fusion in 3-D Space With Dual-Branch Cross-Attention Transformers. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 21254–21274.
2.
Adoni, Wilfried Yves Hamilton, et al.. (2024). Autotarget*: A Distributed Robot Operating System Framework for Autonomous Aerial Swarms. 153–160. 1 indexed citations
3.
Rosa, Laura Elena Cué La, et al.. (2023). Unsupervised annual change detection from optical-SAR fused satellite image time-series using 3D-CAE. International Journal of Remote Sensing. 44(5). 1628–1642. 3 indexed citations
4.
Koirala, Bikram, Behnood Rasti, Sandra Lorenz, et al.. (2023). A Multisensor Hyperspectral Benchmark Dataset for Unmixing of Intimate Mixtures. IEEE Sensors Journal. 24(4). 4694–4710. 6 indexed citations
5.
Lorenz, Sandra, Samuel T. Thiele, Moritz Kirsch, et al.. (2022). Three-Dimensional, Km-Scale Hyperspectral Data of Well-Exposed Zn–Pb Mineralization at Black Angel Mountain, Greenland. Data. 7(8). 104–104. 5 indexed citations
6.
Fuchs, Margret, Jan Beyer, Sandra Lorenz, et al.. (2021). A spectral library for laser-induced fluorescence analysis as a tool for rare earth element identification. Earth system science data. 13(9). 4465–4483. 9 indexed citations
7.
Ghamisi, Pedram, et al.. (2021). Unsupervised Data Fusion With Deeper Perspective: A Novel Multisensor Deep Clustering Algorithm. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15. 284–296. 29 indexed citations
8.
Ghamisi, Pedram, et al.. (2020). Data Fusion Using a Multi-Sensor Sparse-Based Clustering Algorithm. Remote Sensing. 12(23). 4007–4007. 13 indexed citations
9.
Wagner, Frank, et al.. (2020). Development of Sustainable Test Sites for Mineral Exploration and Knowledge Spillover for Industry. Sustainability. 12(5). 2016–2016. 11 indexed citations
10.
Ghamisi, Pedram, et al.. (2020). A NEW SPECTRAL-SPATIAL SUBSPACE CLUSTERING ALGORITHM FOR HYPERSPECTRAL IMAGE ANALYSIS. SHILAP Revista de lepidopterología. V-3-2020. 185–191. 2 indexed citations
11.
Seidel, Peter, Sandra Lorenz, Robert Zimmermann, et al.. (2019). Fast 2D Laser-Induced Fluorescence Spectroscopy Mapping of Rare Earth Elements in Rock Samples. Sensors. 19(10). 2219–2219. 6 indexed citations
12.
Pohl, Eric, et al.. (2017). Glacier melt buffers river runoff in the Pamir Mountains. Water Resources Research. 53(3). 2467–2489. 50 indexed citations
13.
Gloaguen, Richard, et al.. (2016). Remote Sensing-Based Exploration of Structurally-Related Mineralizations around Mount Isa, Queensland, Australia. Remote Sensing. 8(5). 358–358. 17 indexed citations
14.
Fuchs, Margret, Richard Gloaguen, Silke Merchel, et al.. (2015). Denudation rates across the Pamir based on 10 Be concentrations in fluvial sediments: dominance of topographic over climatic factors. Earth Surface Dynamics. 3(3). 423–439. 16 indexed citations
16.
Othman, Arsalan Ahmed & Richard Gloaguen. (2015). Comparison of Different Machine Learning Algorithms for Lithological Mapping Using Remote Sensing Data and Morphological Features: A Case Study in Kurdistan Region, NE Iraq. EGU General Assembly Conference Abstracts. 6781. 1 indexed citations
18.
19.
Fuchs, Margret, Richard Gloaguen, Matthias Krbetschek, & Adam Szulc. (2012). OSL dating of fluvial terraces for incision rate estimation and indication of neotectonic activity in Pamir. EGUGA. 10777. 1 indexed citations
20.
Gloaguen, Richard, et al.. (2003). Atypical Normal Faults Morphology in the Main Ethiopian Rift. AGU Fall Meeting Abstracts. 2003. 2 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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