Yannig Goude

2.3k total citations
33 papers, 1.3k citations indexed

About

Yannig Goude is a scholar working on Electrical and Electronic Engineering, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Yannig Goude has authored 33 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Electrical and Electronic Engineering, 15 papers in Management Science and Operations Research and 8 papers in Artificial Intelligence. Recurrent topics in Yannig Goude's work include Energy Load and Power Forecasting (24 papers), Forecasting Techniques and Applications (7 papers) and Image and Signal Denoising Methods (6 papers). Yannig Goude is often cited by papers focused on Energy Load and Power Forecasting (24 papers), Forecasting Techniques and Applications (7 papers) and Image and Signal Denoising Methods (6 papers). Yannig Goude collaborates with scholars based in France, United Kingdom and United States. Yannig Goude's co-authors include Raphaël Nedellec, Simon N. Wood, Simon Shaw, Pierre Gaillard, Matteo Fasiolo, Jean‐Michel Poggi, Jairo Cugliari, Pascal Massart, Qiwei Yao and Hui Yan and has published in prestigious journals such as Journal of the American Statistical Association, Applied Energy and IEEE Transactions on Power Systems.

In The Last Decade

Yannig Goude

31 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yannig Goude France 17 746 279 222 117 106 33 1.3k
Matteo De Felice Italy 23 828 1.1× 143 0.5× 469 2.1× 238 2.0× 121 1.1× 52 1.4k
Jose L Aznarte Spain 18 116 0.2× 117 0.4× 268 1.2× 72 0.6× 256 2.4× 37 1.2k
Paulo Canas Rodrigues Brazil 22 305 0.4× 426 1.5× 148 0.7× 58 0.5× 132 1.2× 117 1.3k
Kyle Bradbury United States 15 374 0.5× 27 0.1× 454 2.0× 122 1.0× 194 1.8× 38 1.5k
Johan Barthélemy Australia 16 113 0.2× 103 0.4× 95 0.4× 207 1.8× 118 1.1× 68 989
Chuang Li China 18 153 0.2× 47 0.2× 86 0.4× 49 0.4× 112 1.1× 116 1.3k
Haydar Demirhan Australia 17 157 0.2× 99 0.4× 313 1.4× 91 0.8× 72 0.7× 79 842
Zhifeng Guo China 16 262 0.4× 46 0.2× 110 0.5× 94 0.8× 329 3.1× 49 926
Caleb Robinson United States 12 188 0.3× 35 0.1× 120 0.5× 99 0.8× 236 2.2× 34 882
Takahiro Yoshida Japan 19 336 0.5× 23 0.1× 66 0.3× 266 2.3× 178 1.7× 81 1.3k

Countries citing papers authored by Yannig Goude

Since Specialization
Citations

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

Fields of papers citing papers by Yannig Goude

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yannig Goude

This figure shows the co-authorship network connecting the top 25 collaborators of Yannig Goude. A scholar is included among the top collaborators of Yannig Goude 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 Yannig Goude. Yannig Goude 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.
Goude, Yannig, et al.. (2025). Quantifying the Uncertainty of Electric Vehicle Charging with Probabilistic Load Forecasting. World Electric Vehicle Journal. 16(2). 88–88. 1 indexed citations
2.
Antoniadis, Anestis, Jairo Cugliari, Matteo Fasiolo, Yannig Goude, & Jean‐Michel Poggi. (2024). Statistical Learning Tools for Electricity Load Forecasting. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
3.
Goude, Yannig, et al.. (2024). Carbon Monitor Power-Simulators (CMP-SIM v1.0) across countries: a data-driven approach to simulate daily power generation. Geoscientific model development. 17(7). 2663–2682. 1 indexed citations
4.
Cugliari, Jairo, et al.. (2024). Textual data for electricity load forecasting. Quality and Reliability Engineering International. 40(8). 4187–4208.
5.
Browell, Jethro, et al.. (2023). Adaptive Probabilistic Forecasting of Electricity (Net-)Load. IEEE Transactions on Power Systems. 39(2). 4154–4163. 9 indexed citations
6.
Goude, Yannig, et al.. (2023). Kalman recursions Aggregated Online. Statistical Papers. 65(2). 909–944. 1 indexed citations
7.
Antoniadis, Anestis, et al.. (2023). Hierarchical transfer learning with applications to electricity load forecasting. International Journal of Forecasting. 40(2). 641–660. 6 indexed citations
8.
Xu, Xiuqin, Ying Chen, Yannig Goude, & Qiwei Yao. (2021). Day-ahead probabilistic forecasting for French half-hourly electricity loads and quantiles for curve-to-curve regression. Applied Energy. 301. 117465–117465. 19 indexed citations
9.
Goude, Yannig, et al.. (2021). Adaptive Methods for Short-Term Electricity Load Forecasting During COVID-19 Lockdown in France. PubMed Central. 66 indexed citations
10.
Amato, Umberto, et al.. (2020). Forecasting high resolution electricity demand data with additive models including smooth and jagged components. International Journal of Forecasting. 37(1). 171–185. 24 indexed citations
11.
Fasiolo, Matteo, Raphaël Nedellec, Yannig Goude, & Simon N. Wood. (2019). Scalable Visualization Methods for Modern Generalized Additive Models. Journal of Computational and Graphical Statistics. 29(1). 78–86. 127 indexed citations
12.
Goude, Yannig, et al.. (2019). Aggregation of Multi-Scale Experts for Bottom-Up Load Forecasting. IEEE Transactions on Smart Grid. 11(3). 1895–1904. 40 indexed citations
13.
Devijver, Émilie, Yannig Goude, & Jean‐Michel Poggi. (2019). Clustering electricity consumers using high‐dimensional regression mixture models. Applied Stochastic Models in Business and Industry. 36(1). 159–177. 9 indexed citations
14.
Gaillard, Pierre, Yannig Goude, & Raphaël Nedellec. (2016). Additive models and robust aggregation for GEFCom2014 probabilistic electric load and electricity price forecasting. International Journal of Forecasting. 32(3). 1038–1050. 146 indexed citations
15.
Goude, Yannig, et al.. (2016). Spatial estimation of electricity consumption using socio-demographic information. 1. 753–757. 2 indexed citations
16.
Goude, Yannig, et al.. (2015). Electricity Forecasting Using Multi-Stage Estimators of Nonlinear Additive Models. IEEE Transactions on Power Systems. 31(5). 3665–3673. 19 indexed citations
17.
Wood, Simon N., Yannig Goude, & Simon Shaw. (2014). Generalized Additive Models for Large Data Sets. Journal of the Royal Statistical Society Series C (Applied Statistics). 64(1). 139–155. 223 indexed citations
18.
Goude, Yannig, et al.. (2014). Local Short and Middle Term Electricity Load Forecasting With Semi-Parametric Additive Models. IEEE Transactions on Smart Grid. 5(1). 440–446. 160 indexed citations
19.
Nedellec, Raphaël, Jairo Cugliari, & Yannig Goude. (2013). GEFCom2012: Electric load forecasting and backcasting with semi-parametric models. International Journal of Forecasting. 30(2). 375–381. 60 indexed citations
20.
Bâ, Amadou, et al.. (2012). Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting. 25. 2510–2518. 23 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Matteo De Felice Breakdown of academic impact, for papers by Jose L Aznarte Breakdown of academic impact, for papers by Paulo Canas Rodrigues Breakdown of academic impact, for papers by Kyle Bradbury Breakdown of academic impact, for papers by Johan Barthélemy Breakdown of academic impact, for papers by Chuang Li Breakdown of academic impact, for papers by Haydar Demirhan Breakdown of academic impact, for papers by Zhifeng Guo Breakdown of academic impact, for papers by Caleb Robinson Breakdown of academic impact, for papers by Takahiro Yoshida
Rankless by CCL
2026