Jean‐Michel Poggi

5.5k total citations · 3 hit papers
47 papers, 3.5k citations indexed

About

Jean‐Michel Poggi is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Jean‐Michel Poggi has authored 47 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 10 papers in Computer Vision and Pattern Recognition and 8 papers in Control and Systems Engineering. Recurrent topics in Jean‐Michel Poggi's work include Energy Load and Power Forecasting (8 papers), Image and Signal Denoising Methods (8 papers) and Air Quality and Health Impacts (7 papers). Jean‐Michel Poggi is often cited by papers focused on Energy Load and Power Forecasting (8 papers), Image and Signal Denoising Methods (8 papers) and Air Quality and Health Impacts (7 papers). Jean‐Michel Poggi collaborates with scholars based in France, South Africa and Tunisia. Jean‐Michel Poggi's co-authors include Robin Genuer, Christine Tuleau-Malot, Anestis Antoniadis, Sophie Lambert‐Lacroix, Jean O. Lanjouw, Jesko Hentschel, Peter Lanjouw, Yannig Goude, Pascal Massart and M. Jaïdane-Saïdane and has published in prestigious journals such as IEEE Transactions on Power Systems, Atmospheric Environment and IEEE Transactions on Smart Grid.

In The Last Decade

Jean‐Michel Poggi

44 papers receiving 3.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Variable selection using random forests

2010 1.9k citations Robin Genuer, Jean‐Michel Poggi et al. Pattern Recognition Letters profile →
VSURF: An R Package for Variable Selection Using Random Forests

2015 445 citations Robin Genuer, Jean‐Michel Poggi et al. The R Journal profile →
Random forests for global sensitivity analysis: A selective review

2020 219 citations Anestis Antoniadis, Sophie Lambert‐Lacroix et al. Reliability Engineering & System Safety profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jean‐Michel Poggi France	17	552	536	496	491	319	47	3.5k
Kjell Johnson United States	16	671 1.2×	436 0.8×	419 0.8×	948 1.9×	230 0.7×	39	5.8k
Elizabeth A. Peck United States	5	359 0.7×	428 0.8×	448 0.9×	422 0.9×	321 1.0×	7	5.0k
Xuan Liu China	34	477 0.9×	272 0.5×	757 1.5×	516 1.1×	183 0.6×	117	3.5k
Robin Genuer France	9	441 0.8×	516 1.0×	453 0.9×	403 0.8×	74 0.2×	14	2.6k
Christine M. Anderson‐Cook United States	28	244 0.4×	444 0.8×	559 1.1×	367 0.7×	183 0.6×	239	5.9k
Brian D. Marx United States	29	344 0.6×	583 1.1×	374 0.8×	531 1.1×	70 0.2×	82	5.2k
Christine Tuleau-Malot France	6	420 0.8×	505 0.9×	447 0.9×	353 0.7×	70 0.2×	11	2.4k
Miron B. Kursa Poland	12	484 0.9×	448 0.8×	354 0.7×	596 1.2×	134 0.4×	24	4.6k
Thomas Kneib Germany	40	704 1.3×	875 1.6×	744 1.5×	1.1k 2.3×	104 0.3×	211	7.3k
Erwan Scornet France	11	413 0.7×	240 0.4×	305 0.6×	861 1.8×	235 0.7×	18	3.4k

Countries citing papers authored by Jean‐Michel Poggi

Since Specialization

Citations

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

Fields of papers citing papers by Jean‐Michel Poggi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐Michel Poggi. 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 Jean‐Michel Poggi. The network helps show where Jean‐Michel Poggi may publish in the future.

Co-authorship network of co-authors of Jean‐Michel Poggi

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

All Works

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20 of 20 papers shown

Ruggeri, Fabrizio, David Banks, William S. Cleveland, et al.. (2025). Is There a Future for Stochastic Modeling in Business and Industry in the Era of Machine Learning and Artificial Intelligence?. Applied Stochastic Models in Business and Industry. 41(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

Poggi, Jean‐Michel, et al.. (2024). Deployment of low-cost air quality sensors in Rouen: A dataset of one year of hourly concentrations of gas pollutants. Data in Brief. 55. 110768–110768.

Kenett, Ron S., et al.. (2023). An analytic journey in an industrial classification problem: How to use models to sharpen your questions. Quality and Reliability Engineering International. 40(2). 803–818.

Poggi, Jean‐Michel, et al.. (2023). Air quality low-cost sensors and monitoring stations NO2 raw dataset in Rouen (France). Data in Brief. 49. 109398–109398. 2 indexed citations

Antoniadis, Anestis, Sophie Lambert‐Lacroix, & Jean‐Michel Poggi. (2020). Random forests for global sensitivity analysis: A selective review. Reliability Engineering & System Safety. 206. 107312–107312. 219 indexed citations breakdown →

Genuer, Robin, Jean‐Michel Poggi, & Christine Tuleau-Malot. (2019). Variable Selection Using Random Forests [R package VSURF version 1.1.0]. 3 indexed citations

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

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

10.

Genuer, Robin, Jean‐Michel Poggi, & Christine Tuleau-Malot. (2015). VSURF: An R Package for Variable Selection Using Random Forests. The R Journal. 7(2). 19–19. 445 indexed citations breakdown →

11.

Antoniadis, Anestis, et al.. (2015). A prediction interval for a function-valued forecast model: Application to load forecasting. International Journal of Forecasting. 32(3). 939–947. 25 indexed citations

12.

Poggi, Jean‐Michel, et al.. (2011). PM10 forecasting using clusterwise regression. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations

13.

Poggi, Jean‐Michel, et al.. (2011). PM10 forecasting using clusterwise regression. Atmospheric Environment. 45(38). 7005–7014. 40 indexed citations

14.

Genuer, Robin, Jean‐Michel Poggi, & Christine Tuleau-Malot. (2010). Variable selection using random forests. Pattern Recognition Letters. 31(14). 2225–2236. 1852 indexed citations breakdown →

15.

Oppenheim, Georges, et al.. (2006). Wavelets and Their Applications (Digital Signal and Image Processing series). 4 indexed citations

16.

Poggi, Jean‐Michel, et al.. (2006). Classification supervisée en grande dimension. Application à l'agrément de conduite automobile. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations

17.

Poggi, Jean‐Michel, et al.. (2006). Outlier Detection by Boosting Regression Trees. SPIRE - Sciences Po Institutional REpository. 3(1). 1–22. 2 indexed citations

18.

Poggi, Jean‐Michel, et al.. (2003). Partial and Recombined Estimators for Nonlinear Additive Models. Statistical Inference for Stochastic Processes. 6(2). 155–197. 7 indexed citations

19.

Poggi, Jean‐Michel, et al.. (1997). A Test of Linearity for Functional Autoregressive Models. Journal of Time Series Analysis. 18(6). 615–639. 12 indexed citations

20.

Poggi, Jean‐Michel. (1994). Prévision non paramétrique de la consommation électrique. French digital mathematics library (Numdam). 42(4). 83–98. 5 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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