Emmanuel Ramasso

2.7k total citations
51 papers, 1.2k citations indexed

About

Emmanuel Ramasso is a scholar working on Artificial Intelligence, Control and Systems Engineering and Mechanics of Materials. According to data from OpenAlex, Emmanuel Ramasso has authored 51 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 14 papers in Control and Systems Engineering and 13 papers in Mechanics of Materials. Recurrent topics in Emmanuel Ramasso's work include Fault Detection and Control Systems (13 papers), Structural Health Monitoring Techniques (10 papers) and Anomaly Detection Techniques and Applications (9 papers). Emmanuel Ramasso is often cited by papers focused on Fault Detection and Control Systems (13 papers), Structural Health Monitoring Techniques (10 papers) and Anomaly Detection Techniques and Applications (9 papers). Emmanuel Ramasso collaborates with scholars based in France, Greece and United States. Emmanuel Ramasso's co-authors include Vincent Placet, Michèle Rombaut, Noureddine Zerhouni, Abhinav Saxena, Rafael Gouriveau, Thierry Denœux, M. Lamine Boubakar, Xavier Gabrion, Costas Panagiotakis and Denis Pellerin and has published in prestigious journals such as Sensors, Composites Part B Engineering and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Emmanuel Ramasso

47 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emmanuel Ramasso France 21 383 357 259 226 163 51 1.2k
Rafiullah Khan United Kingdom 15 359 0.9× 255 0.7× 120 0.5× 138 0.6× 113 0.7× 48 955
Shahab Fatima India 20 704 1.8× 333 0.9× 498 1.9× 99 0.4× 86 0.5× 58 1.4k
Sheng Xiang China 18 965 2.5× 333 0.9× 640 2.5× 167 0.7× 198 1.2× 40 1.6k
Mulugeta Haile United States 17 182 0.5× 138 0.4× 180 0.7× 205 0.9× 143 0.9× 38 876
Frank Gauterin Germany 23 327 0.9× 59 0.2× 293 1.1× 132 0.6× 312 1.9× 204 1.8k
Zhipeng Wang China 23 502 1.3× 145 0.4× 571 2.2× 134 0.6× 324 2.0× 111 1.5k
Xiaolan Wang China 22 158 0.4× 416 1.2× 433 1.7× 157 0.7× 278 1.7× 116 1.4k
Jialong He China 20 218 0.6× 152 0.4× 256 1.0× 261 1.2× 147 0.9× 89 1.0k
Cheng‐Geng Huang China 21 986 2.6× 228 0.6× 540 2.1× 178 0.8× 166 1.0× 37 1.7k

Countries citing papers authored by Emmanuel Ramasso

Since Specialization
Citations

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

Fields of papers citing papers by Emmanuel Ramasso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emmanuel Ramasso

This figure shows the co-authorship network connecting the top 25 collaborators of Emmanuel Ramasso. A scholar is included among the top collaborators of Emmanuel Ramasso 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 Emmanuel Ramasso. Emmanuel Ramasso 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.
Ramasso, Emmanuel, et al.. (2025). DEEM: A novel approach to semi-supervised and unsupervised image clustering under uncertainty using belief functions and convolutional neural networks. International Journal of Approximate Reasoning. 181. 109400–109400.
2.
Ramasso, Emmanuel, Gilles Bourbon, Patrice Le Moal, et al.. (2025). A new criterion based on the distribution of cluster onsets for interpreting acoustic emission data signals: three case studies in structural and process monitoring. Pattern Analysis and Applications. 28(3).
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Ramasso, Emmanuel, et al.. (2024). A physics-informed neural networks framework for model parameter identification of beam-like structures. Mechanical Systems and Signal Processing. 224. 112189–112189. 11 indexed citations
5.
Ramasso, Emmanuel, et al.. (2024). Physics-informed neural networks for inverse problems in structural dynamics. 19–19. 1 indexed citations
6.
Ramasso, Emmanuel, Thierry Denœux, & Gaël Chevallier. (2022). Clustering acoustic emission data streams with sequentially appearing clusters using mixture models. Mechanical Systems and Signal Processing. 181. 109504–109504. 19 indexed citations
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Perrin, Guillaume, et al.. (2018). A Deep Reinforcement Learning Approach for Early Classification of Time Series. HAL (Le Centre pour la Communication Scientifique Directe). 2030–2034. 40 indexed citations
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Ramasso, Emmanuel & Abhinav Saxena. (2014). Review and Analysis of Algorithmic Approaches Developed for Prognostics on CMAPSS Dataset. Annual Conference of the PHM Society. 6(1). 43 indexed citations
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Ramasso, Emmanuel & Thierry Denœux. (2013). Making Use of Partial Knowledge About Hidden States in HMMs: An Approach Based on Belief Functions. IEEE Transactions on Fuzzy Systems. 22(2). 395–405. 52 indexed citations
13.
Gouriveau, Rafael, Kamal Medjaher, Emmanuel Ramasso, & Noureddine Zerhouni. (2013). PHM – Prognostics and health management - De la surveillance au pronostic de défaillances de systèmes complexes. 6 indexed citations
14.
Ramasso, Emmanuel, et al.. (2012). Health Assessment of Composite Structures in Unconstrained Environments Using Partially Supervised Pattern Recognition Tools. Annual Conference of the PHM Society. 4(1). 8 indexed citations
15.
Ramasso, Emmanuel, et al.. (2012). Evidential evolving Gustafson–Kessel algorithm for online data streams partitioning using belief function theory. International Journal of Approximate Reasoning. 53(5). 747–768. 31 indexed citations
16.
Ramasso, Emmanuel, et al.. (2012). An Evidential Evolving Prognostic Approach and its Application to PRONOSTIA’s Data Streams. Annual Conference of the PHM Society. 4(1). 1 indexed citations
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Ramasso, Emmanuel, et al.. (2011). E2GK-pro: An Evidential Evolving Multimodeling Approach for Systems Behavior Prediction. Annual Conference of the PHM Society. 3(1). 1 indexed citations
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Ramasso, Emmanuel, Costas Panagiotakis, Michèle Rombaut, & Denis Pellerin. (2010). Belief Scheduler based on model failure detection in the TBM framework. Application to human activity recognition. International Journal of Approximate Reasoning. 51(7). 846–865. 13 indexed citations
20.
Ramasso, Emmanuel, Costas Panagiotakis, Denis Pellerin, & Michèle Rombaut. (2007). Human action recognition in videos based on the Transferable Belief Model. Pattern Analysis and Applications. 11(1). 1–19. 20 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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