Romuald Boné

582 citations
31 papers · 412 · h-index 11

Impact in

Papers in

Romuald Boné

26 papers receiving 381 citations

Peers

Romuald Boné
Comparison fields: 5 of 66
  • Automotive Engineering 90
  • Signal Processing 75
  • Management Science and Operations Research 75
  • Artificial Intelligence 176
  • Electrical and Electronic Engineering 126
Replace Dohyun Kim with:
Dohyun Kim South Korea
Wendong Zheng China
Tajjeeddine Rachidi Morocco
Germano C. Vasconcelos Brazil
Xifeng Guo China
André Gensler Germany
Zhengyang Zhou China
Shouxu Jiang China
Abraham George United States
Majid Abdollahzade Iran
Romuald Boné relative to Dohyun Kim South Korea Dohyun Kim's profile →
Citations per field
00.5×2×4×6×
Dohyun Kim · 1×
Citations per year

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-authors

The 10 scholars most cited alongside Romuald Boné, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Romuald Boné Line = papers co-authored together Romuald Boné links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006121
2 201154
3 202252
4 200229
5 200321
6 200614
7 200513
8 200813
9 202413
10 202112
11 200111
12 20047
13 20236
14
An algorithm for the addition of time-delayed connections to recurrent neural networks.
20006
15 20056
16 20086
17
NAR time-series prediction: a Bayesian framework and an experiment
19984
18 20074
19 20064
20
Multi-Step-Ahead Prediction with Neural Networks
20043

About Romuald Boné

Romuald Boné is a scholar working on Artificial Intelligence, Signal Processing, Automotive Engineering, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 31 papers that have together received 412 indexed citations. Recurring topics across this work include Neural Networks and Applications (18 papers), Time Series Analysis and Forecasting (13 papers), Advanced Battery Technologies Research (6 papers), Medical Image Segmentation Techniques (5 papers), Advancements in Battery Materials (5 papers), Model Reduction and Neural Networks (5 papers), Stock Market Forecasting Methods (4 papers) and Electric Vehicles and Infrastructure (3 papers). The work is most often cited by research in Automotive Engineering (90 citations), Signal Processing (75 citations), Management Science and Operations Research (75 citations), Artificial Intelligence (176 citations) and Electrical and Electronic Engineering (126 citations). Romuald Boné has collaborated with scholars based in France. Frequent co-authors include Hubert Cardot, Michel Crucianu, Ahmed Samet, Tedjani Mesbahi, Julien Mille, Laurent D. Cohen, Ali Ayadi, François de Bertrand de Beuvron, Tedjani Mesbahi and Denis Maurel. Their work appears in journals such as Neurocomputing, Lecture notes in computer science, Information Fusion, Energy and AI and Journal of Energy Storage.

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.

Explore authors with similar magnitude of impact