Jérémie Sublime

476 total citations
21 papers, 286 citations indexed

About

Jérémie Sublime is a scholar working on Artificial Intelligence, Media Technology and Statistical and Nonlinear Physics. According to data from OpenAlex, Jérémie Sublime has authored 21 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Media Technology and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Jérémie Sublime's work include Remote-Sensing Image Classification (6 papers), Advanced Clustering Algorithms Research (6 papers) and Remote Sensing and Land Use (4 papers). Jérémie Sublime is often cited by papers focused on Remote-Sensing Image Classification (6 papers), Advanced Clustering Algorithms Research (6 papers) and Remote Sensing and Land Use (4 papers). Jérémie Sublime collaborates with scholars based in France, Chile and Brazil. Jérémie Sublime's co-authors include Maria Trocan, Dino Ienco, Nistor Grozavu, Younès Bennani, Antoine Cornuéjols, Guénaël Cabanès, Basarab Mateï, Florence Rossant, Michel Pâques and Geun Sik Jo and has published in prestigious journals such as IEEE Access, Pattern Recognition and Remote Sensing.

In The Last Decade

Jérémie Sublime

20 papers receiving 277 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jérémie Sublime France 9 125 97 77 58 43 21 286
Moumita Roy India 11 169 1.4× 119 1.2× 112 1.5× 76 1.3× 60 1.4× 37 329
Siqi Wu China 10 106 0.8× 72 0.7× 55 0.7× 26 0.4× 64 1.5× 26 291
Xueying Zhang China 12 120 1.0× 181 1.9× 87 1.1× 49 0.8× 71 1.7× 31 468
Zhixin Qi China 8 138 1.1× 63 0.6× 76 1.0× 95 1.6× 27 0.6× 23 391
Xiangming Jiang China 11 252 2.0× 93 1.0× 154 2.0× 62 1.1× 95 2.2× 25 393
Yufei Yang China 11 214 1.7× 159 1.6× 80 1.0× 31 0.5× 95 2.2× 26 446
Abhishek Bhatt India 10 40 0.3× 49 0.5× 49 0.6× 51 0.9× 68 1.6× 37 373
Pan Yin United States 7 125 1.0× 68 0.7× 33 0.4× 82 1.4× 53 1.2× 11 288
Marijke F. Augusteijn United States 10 92 0.7× 129 1.3× 42 0.5× 94 1.6× 146 3.4× 26 429

Countries citing papers authored by Jérémie Sublime

Since Specialization
Citations

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

Fields of papers citing papers by Jérémie Sublime

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jérémie Sublime

This figure shows the co-authorship network connecting the top 25 collaborators of Jérémie Sublime. A scholar is included among the top collaborators of Jérémie Sublime 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 Jérémie Sublime. Jérémie Sublime 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.
Sublime, Jérémie. (2024). The AI Race: Why Current Neural Network-based Architectures are a Poor Basis for Artificial General Intelligence. Journal of Artificial Intelligence Research. 79. 41–67. 3 indexed citations
2.
Sublime, Jérémie, et al.. (2023). An Ensemble and Multi-View Clustering Method Based on Kolmogorov Complexity. Entropy. 25(2). 371–371. 3 indexed citations
3.
Rossant, Florence, et al.. (2023). 3D Orthogonal SD-OCT Volumes Registration for the Enhancement of Pores in Lamina Cribrosa. SPIRE - Sciences Po Institutional REpository. 1–5.
4.
Medjahdi, Yahia, et al.. (2022). Low Complexity LSTM-NN-Based Receiver for Vehicular Communications in the Presence of High-Power Amplifier Distortions. IEEE Access. 10. 121985–122000. 5 indexed citations
5.
Sublime, Jérémie. (2022). L'apprentissage non-supervisé et ses contradictions. HAL (Le Centre pour la Communication Scientifique Directe). 145–146. 2 indexed citations
6.
Sublime, Jérémie. (2021). The 2011 Tohoku Tsunami from the Sky: A Review on the Evolution of Artificial Intelligence Methods for Damage Assessment. Geosciences. 11(3). 133–133. 4 indexed citations
7.
Royer, Clément, Jérémie Sublime, Florence Rossant, & Michel Pâques. (2021). Unsupervised Approaches for the Segmentation of Dry ARMD Lesions in Eye Fundus cSLO Images. Journal of Imaging. 7(8). 143–143. 9 indexed citations
8.
Sublime, Jérémie, et al.. (2020). Unsupervised Satellite Image Time Series Clustering Using Object-Based Approaches and 3D Convolutional Autoencoder. Remote Sensing. 12(11). 1816–1816. 16 indexed citations
9.
10.
Ienco, Dino, et al.. (2020). Unsupervised Change Detection Analysis in Satellite Image Time Series Using Deep Learning Combined With Graph-Based Approaches. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 1450–1466. 44 indexed citations
11.
Sublime, Jérémie, Guénaël Cabanès, & Basarab Mateï. (2019). Study on the Influence of Diversity and Quality in Entropy Based Collaborative Clustering. Entropy. 21(10). 951–951. 2 indexed citations
12.
Sublime, Jérémie, et al.. (2019). Automatic Post-Disaster Damage Mapping Using Deep-Learning Techniques for Change Detection: Case Study of the Tohoku Tsunami. Remote Sensing. 11(9). 1123–1123. 108 indexed citations
13.
14.
Sublime, Jérémie, et al.. (2018). Neural Network Autoencoder for Change Detection in Satellite Image Time Series. 641–642. 9 indexed citations
15.
Sublime, Jérémie, et al.. (2018). Collaborative Clustering through Constrained Networks using Bandit Optimization. 12. 1–8. 2 indexed citations
16.
Sublime, Jérémie, et al.. (2018). Optimizing exchange confidence during collaborative clustering. 15. 1–8. 3 indexed citations
17.
Sublime, Jérémie, et al.. (2017). Multi-Scale Analysis of Very High Resolution Satellite Images Using Unsupervised Techniques. Remote Sensing. 9(5). 495–495. 5 indexed citations
18.
Sublime, Jérémie, Nistor Grozavu, Guénaël Cabanès, Younès Bennani, & Antoine Cornuéjols. (2016). From horizontal to vertical collaborative clustering using generative topographic maps. International Journal of Hybrid Intelligent Systems. 12(4). 245–256. 9 indexed citations
19.
Sublime, Jérémie, Nistor Grozavu, Younès Bennani, & Antoine Cornuéjols. (2015). Collaborative clustering with heterogeneous algorithms. 1–8. 8 indexed citations
20.
Sublime, Jérémie, et al.. (2013). A genetic algorithm for multi-objective optimisation in workflow scheduling with hard constraints. 2(4). 415–415. 15 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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