Romuald Boné

569 total citations
19 papers, 287 citations indexed

About

Romuald Boné is a scholar working on Artificial Intelligence, Signal Processing and Automotive Engineering. According to data from OpenAlex, Romuald Boné has authored 19 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 9 papers in Signal Processing and 4 papers in Automotive Engineering. Recurrent topics in Romuald Boné's work include Neural Networks and Applications (12 papers), Time Series Analysis and Forecasting (9 papers) and Advanced Battery Technologies Research (4 papers). Romuald Boné is often cited by papers focused on Neural Networks and Applications (12 papers), Time Series Analysis and Forecasting (9 papers) and Advanced Battery Technologies Research (4 papers). Romuald Boné collaborates with scholars based in France. Romuald Boné's co-authors include Hubert Cardot, Michel Crucianu, Tedjani Mesbahi, Ahmed Samet, François de Bertrand de Beuvron, Tedjani Mesbahi and Julien Mille and has published in prestigious journals such as Neurocomputing, Information Fusion and Journal of Energy Storage.

In The Last Decade

Romuald Boné

16 papers receiving 262 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Romuald Boné France 8 119 107 73 58 43 19 287
Abraham George United States 7 85 0.7× 77 0.7× 35 0.5× 51 0.9× 11 0.3× 13 306
Pu Zhang China 8 93 0.8× 212 2.0× 28 0.4× 45 0.8× 11 0.3× 32 415
Xuhang Ying United States 11 80 0.7× 209 2.0× 25 0.3× 17 0.3× 41 1.0× 15 365
Xuan Tian China 7 116 1.0× 194 1.8× 32 0.4× 44 0.8× 6 0.1× 25 319
Liping Yan China 8 77 0.6× 104 1.0× 23 0.3× 16 0.3× 24 0.6× 28 312
Hamed Chitsaz Canada 8 118 1.0× 440 4.1× 18 0.2× 50 0.9× 11 0.3× 8 491
Fengbin Zhang China 11 144 1.2× 55 0.5× 10 0.1× 22 0.4× 48 1.1× 41 336
Zhirui Tian China 10 148 1.2× 248 2.3× 24 0.3× 69 1.2× 6 0.1× 29 400

Countries citing papers authored by Romuald Boné

Since Specialization
Citations

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

Fields of papers citing papers by Romuald Boné

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Romuald Boné

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

All Works

19 of 19 papers shown
1.
Samet, Ahmed, et al.. (2024). Dual-model approach for one-shot lithium-ion battery state of health sequence prediction. Array. 24. 100367–100367.
2.
Samet, Ahmed, et al.. (2024). Data-driven strategy for state of health prediction and anomaly detection in lithium-ion batteries. Energy and AI. 17. 100413–100413. 9 indexed citations
3.
Mesbahi, Tedjani, et al.. (2022). Time Series Feature extraction for Lithium-Ion batteries State-Of-Health prediction. Journal of Energy Storage. 59. 106436–106436. 47 indexed citations
4.
Mesbahi, Tedjani, et al.. (2021). Auto-encoder LSTM for Li-ion SOH prediction: a comparative study on various benchmark datasets. 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA). 1529–1536. 12 indexed citations
5.
Cardot, Hubert, et al.. (2011). SOM time series clustering and prediction with recurrent neural networks. Neurocomputing. 74(11). 1936–1944. 44 indexed citations
6.
7.
Boné, Romuald, et al.. (2007). Hierarchical Mesh Segmentation Using Waterfall and Dynamics. 22. 162–167. 4 indexed citations
8.
Boné, Romuald, et al.. (2006). Predicting Chaotic Time Series by Boosted Recurrent Neural Networks. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
9.
Mille, Julien, et al.. (2006). Greedy Algorithm and Physics-Based Method for Active Contours and Surfaces: A Comparative Study. 1645–1648. 4 indexed citations
10.
Boné, Romuald, et al.. (2006). A new boosting algorithm for improved time-series forecasting with recurrent neural networks. Information Fusion. 9(1). 41–55. 109 indexed citations
11.
Boné, Romuald & Michel Crucianu. (2004). Multi-Step-Ahead Prediction with Neural Networks. RePEc: Research Papers in Economics. 17. 85–98. 3 indexed citations
12.
Boné, Romuald & Michel Crucianu. (2004). An evaluation of constructive algorithms for recurrent networks on multi-step-ahead prediction. 2. 547–551. 7 indexed citations
13.
Crucianu, Michel, et al.. (2003). Bayesian learning for time series prediction with exogenous variables. 4. 2594–2599. 1 indexed citations
14.
Boné, Romuald, et al.. (2002). Two constructive algorithms for improved time series processing with recurrent neural networks. 1. 55–64. 2 indexed citations
15.
Boné, Romuald, et al.. (2002). Learning long-term dependencies by the selective addition of time-delayed connections to recurrent neural networks. Neurocomputing. 48(1-4). 251–266. 22 indexed citations
16.
Crucianu, Michel, et al.. (2001). Bayesian learning for recurrent neural networks. Neurocomputing. 36(1-4). 235–242. 10 indexed citations
17.
Boné, Romuald, et al.. (2000). An algorithm for the addition of time-delayed connections to recurrent neural networks.. The European Symposium on Artificial Neural Networks. 293–298. 5 indexed citations
18.
Crucianu, Michel, et al.. (1998). NAR time-series prediction: a Bayesian framework and an experiment. The European Symposium on Artificial Neural Networks. 111–116. 4 indexed citations
19.
Boné, Romuald, et al.. (1996). Les réseaux de neurones artificiels: un apport potentiel aux études marketing. Recherche et Applications en Marketing (French Edition). 11(2). 63–81. 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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