Guillaume Tochon

552 total citations
9 papers, 178 citations indexed

About

Guillaume Tochon is a scholar working on Media Technology, Atmospheric Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Guillaume Tochon has authored 9 papers receiving a total of 178 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Media Technology, 5 papers in Atmospheric Science and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Guillaume Tochon's work include Remote-Sensing Image Classification (5 papers), Remote Sensing and Land Use (4 papers) and Advanced Image Fusion Techniques (3 papers). Guillaume Tochon is often cited by papers focused on Remote-Sensing Image Classification (5 papers), Remote Sensing and Land Use (4 papers) and Advanced Image Fusion Techniques (3 papers). Guillaume Tochon collaborates with scholars based in France, Iceland and Spain. Guillaume Tochon's co-authors include Mauro Dalla Mura, Jocelyn Chanussot, Miguel A. Veganzones, Antonio Plaza, Andrea L. Bertozzi, David Knapp, Silvia Valero, Philippe Salembier, Roberta E. Martin and Jean‐Baptiste Féret and has published in prestigious journals such as Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Guillaume Tochon

8 papers receiving 176 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guillaume Tochon France	6	98	65	48	43	34	9	178
Lloyd Windrim Australia	9	95 1.0×	45 0.7×	134 2.8×	70 1.6×	42 1.2×	11	316
Yu Oishi Japan	10	75 0.8×	45 0.7×	37 0.8×	91 2.1×	74 2.2×	23	311
Nassim Ait Ali Braham Germany	6	157 1.6×	105 1.6×	27 0.6×	44 1.0×	51 1.5×	12	296
G. Flouzat France	10	169 1.7×	104 1.6×	43 0.9×	80 1.9×	57 1.7×	34	278
Wenzhuo Li China	5	131 1.3×	77 1.2×	19 0.4×	53 1.2×	77 2.3×	8	227
Zixiao Huang China	4	24 0.2×	16 0.2×	96 2.0×	184 4.3×	17 0.5×	4	321
Ahmad Toosi Iran	7	141 1.4×	75 1.2×	55 1.1×	59 1.4×	31 0.9×	15	252
Xiaorou Zheng China	9	112 1.1×	61 0.9×	57 1.2×	42 1.0×	44 1.3×	20	239
Amandeep Kumar United Kingdom	4	116 1.2×	113 1.7×	33 0.7×	35 0.8×	50 1.5×	4	283
Roberto De Bonis Italy	7	67 0.7×	15 0.2×	49 1.0×	76 1.8×	27 0.8×	13	252

Countries citing papers authored by Guillaume Tochon

Since Specialization

Citations

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

Fields of papers citing papers by Guillaume Tochon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guillaume Tochon

This figure shows the co-authorship network connecting the top 25 collaborators of Guillaume Tochon. A scholar is included among the top collaborators of Guillaume Tochon 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 Guillaume Tochon. Guillaume Tochon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Drumetz, Lucas, et al.. (2024). Neural Koopman Prior for Data Assimilation. IEEE Transactions on Signal Processing. 72. 4191–4206.

Drumetz, Lucas, et al.. (2023). Leveraging Neural Koopman Operators to Learn Continuous Representations of Dynamical Systems from Scarce Data. arXiv (Cornell University). 30. 1–5. 1 indexed citations

Tochon, Guillaume, et al.. (2022). Learning Grayscale Mathematical Morphology with Smooth Morphological Layers. Journal of Mathematical Imaging and Vision. 64(7). 736–753. 1 indexed citations

Tochon, Guillaume, Mauro Dalla Mura, Miguel A. Veganzones, Thierry Géraud, & Jocelyn Chanussot. (2019). Braids of partitions for the hierarchical representation and segmentation of multimodal images. Pattern Recognition. 95. 162–172. 9 indexed citations

Tochon, Guillaume, Jocelyn Chanussot, Mauro Dalla Mura, & Andrea L. Bertozzi. (2017). Object Tracking by Hierarchical Decomposition of Hyperspectral Video Sequences: Application to Chemical Gas Plume Tracking. IEEE Transactions on Geoscience and Remote Sensing. 55(8). 4567–4585. 30 indexed citations

Tochon, Guillaume, et al.. (2016). Unmixing-based gas plume tracking in LWIR hyperspectral video sequences. 1–5. 7 indexed citations

Drumetz, Lucas, Miguel A. Veganzones, Guillaume Tochon, et al.. (2016). Hyperspectral Local Intrinsic Dimensionality. IEEE Transactions on Geoscience and Remote Sensing. 54(7). 4063–4078. 7 indexed citations

Tochon, Guillaume, Jean‐Baptiste Féret, Silvia Valero, et al.. (2015). On the use of binary partition trees for the tree crown segmentation of tropical rainforest hyperspectral images. Remote Sensing of Environment. 159. 318–331. 57 indexed citations

Veganzones, Miguel A., Guillaume Tochon, Mauro Dalla Mura, Antonio Plaza, & Jocelyn Chanussot. (2014). Hyperspectral Image Segmentation Using a New Spectral Unmixing-Based Binary Partition Tree Representation. IEEE Transactions on Image Processing. 23(8). 3574–3589. 66 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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