Pierre Pinson

21.8k total citations · 8 hit papers
295 papers, 15.4k citations indexed

About

Pierre Pinson is a scholar working on Electrical and Electronic Engineering, Atmospheric Science and Control and Systems Engineering. According to data from OpenAlex, Pierre Pinson has authored 295 papers receiving a total of 15.4k indexed citations (citations by other indexed papers that have themselves been cited), including 244 papers in Electrical and Electronic Engineering, 44 papers in Atmospheric Science and 30 papers in Control and Systems Engineering. Recurrent topics in Pierre Pinson's work include Electric Power System Optimization (125 papers), Energy Load and Power Forecasting (118 papers) and Smart Grid Energy Management (101 papers). Pierre Pinson is often cited by papers focused on Electric Power System Optimization (125 papers), Energy Load and Power Forecasting (118 papers) and Smart Grid Energy Management (101 papers). Pierre Pinson collaborates with scholars based in Denmark, France and United Kingdom. Pierre Pinson's co-authors include Henrik Madsen, Georges Kariniotakis, Fabio Moret, Tao Hong, Marco Zugno, Henrik Aa. Nielsen, Juan M. Morales, Zhao Xu, Can Wan and Thomas Baroche and has published in prestigious journals such as Nature Communications, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.

In The Last Decade

Pierre Pinson

287 papers receiving 15.0k citations

Hit Papers

Probabilistic energy forecasting: Global Energy ... 2008 2026 2014 2020 2016 2019 2013 2014 2008 200 400 600
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.

  1. Probabilistic energy forecasting: Global Energy Forecasting Competition 2014 and beyond
    2016 690 citations Pierre Pinson et al. profile →
  2. Peer-to-peer and community-based markets: A comprehensive review
    2019 652 citations Tiago Sousa, Tiago Soares et al. profile →
  3. Probabilistic Forecasting of Wind Power Generation Using Extreme Learning Machine
    2013 601 citations Pierre Pinson et al. IEEE Transactions on Power Systems profile →
  4. Benefits and challenges of electrical demand response: A critical review
    2014 453 citations Pierre Pinson et al. profile →
  5. From probabilistic forecasts to statistical scenarios of short‐term wind power production
    2008 394 citations Pierre Pinson, G. Papaefthymiou et al. Wind Energy profile →
  6. Energy Forecasting: A Review and Outlook
    2020 390 citations Pierre Pinson, Yi Wang et al. profile →
  7. Optimal Bidding Strategy of Battery Storage in Power Markets Considering Performance-Based Regulation and Battery Cycle Life
    2015 387 citations Chongqing Kang, Pierre Pinson et al. IEEE Transactions on Smart Grid profile →
  8. Global Energy Forecasting Competition 2012
    2013 362 citations Pierre Pinson et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pierre Pinson Denmark 63 13.2k 3.1k 2.5k 1.5k 1.3k 295 15.4k
Bri‐Mathias Hodge United States 51 7.2k 0.5× 2.1k 0.7× 1.7k 0.7× 1.7k 1.1× 633 0.5× 209 9.1k
Hamidreza Zareipour Canada 51 8.9k 0.7× 2.5k 0.8× 1.8k 0.7× 1.2k 0.8× 530 0.4× 194 10.2k
Jie Zhang China 54 4.9k 0.4× 1.5k 0.5× 2.3k 0.9× 853 0.6× 1.5k 1.2× 539 9.8k
Hui Liu China 57 6.2k 0.5× 1.5k 0.5× 3.0k 1.2× 346 0.2× 1.8k 1.4× 531 12.4k
Sancho Salcedo‐Sanz Spain 50 3.6k 0.3× 767 0.3× 3.5k 1.4× 624 0.4× 1.0k 0.8× 371 9.5k
Qinghua Wu China 58 9.5k 0.7× 5.7k 1.9× 2.5k 1.0× 445 0.3× 407 0.3× 541 14.3k
Chongqing Kang China 78 17.3k 1.3× 5.8k 1.9× 1.3k 0.5× 1.6k 1.0× 430 0.3× 400 20.0k
Jianzhou Wang China 50 5.7k 0.4× 637 0.2× 2.2k 0.9× 508 0.3× 1.3k 1.0× 132 7.7k
Yong Li China 57 8.7k 0.7× 4.9k 1.6× 1.0k 0.4× 518 0.3× 839 0.7× 1.1k 14.7k
Zhao Yang Dong Australia 91 24.4k 1.9× 13.0k 4.3× 3.6k 1.5× 1.7k 1.1× 873 0.7× 711 30.7k

Countries citing papers authored by Pierre Pinson

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Pinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Pinson

This figure shows the co-authorship network connecting the top 25 collaborators of Pierre Pinson. A scholar is included among the top collaborators of Pierre Pinson 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 Pierre Pinson. Pierre Pinson 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.
2.
Pinson, Pierre, et al.. (2024). Seamless and Multi-Resolution Energy Forecasting. IEEE Transactions on Smart Grid. 16(1). 383–395. 1 indexed citations
3.
Pinson, Pierre, et al.. (2024). On the efficiency of energy markets with non-merchant storage. Energy Systems. 2 indexed citations
4.
Qi, Ning, et al.. (2023). Chance-Constrained Generic Energy Storage Operations Under Decision-Dependent Uncertainty. IEEE Transactions on Sustainable Energy. 14(4). 2234–2248. 21 indexed citations
5.
Soares, Tiago, et al.. (2023). P2P market coordination methodologies with distribution grid management. Sustainable Energy Grids and Networks. 34. 101075–101075. 8 indexed citations
6.
Wang, Jiawei, Pierre Pinson, Spyros Chatzivasileiadis, et al.. (2022). On Machine Learning-Based Techniques for Future Sustainable and Resilient Energy Systems. IEEE Transactions on Sustainable Energy. 14(2). 1230–1243. 46 indexed citations
7.
Guo, Zhenwei, Pierre Pinson, Shibo Chen, Qinmin Yang, & Zaiyue Yang. (2021). Online Optimization for Real-Time Peer-to-Peer Electricity Market Mechanisms. IEEE Transactions on Smart Grid. 12(5). 4151–4163. 28 indexed citations
8.
Ziras, Charalampos, Tiago Sousa, & Pierre Pinson. (2021). What Do Prosumer Marginal Utility Functions Look Like? Derivation and Analysis. IEEE Transactions on Power Systems. 36(5). 4322–4330. 19 indexed citations
9.
Guo, Zhenwei, Pierre Pinson, Shibo Chen, Qinmin Yang, & Zaiyue Yang. (2020). Chance-Constrained Peer-to-Peer Joint Energy and Reserve Market Considering Renewable Generation Uncertainty. IEEE Transactions on Smart Grid. 12(1). 798–809. 117 indexed citations
10.
Moret, Fabio, et al.. (2020). Loss Allocation in Joint Transmission and Distribution Peer-to-Peer\n Markets. arXiv (Cornell University). 31 indexed citations
11.
Messner, Jakob W., et al.. (2020). Evaluation of wind power forecasts—An up‐to‐date view. Wind Energy. 23(6). 1461–1481. 51 indexed citations
12.
Ceballo, Sebastián, Alexandre Kempf, Zuzanna Piwkowska, et al.. (2019). Cortical recruitment determines learning dynamics and strategy. Nature Communications. 10(1). 1479–1479. 10 indexed citations
13.
Ziras, Charalampos, Jalal Kazempour, Emre Can Kara, et al.. (2019). A Mid-Term DSO Market for Capacity Limits: How to Estimate Opportunity Costs of Aggregators?. IEEE Transactions on Smart Grid. 11(1). 334–345. 24 indexed citations
14.
Golestaneh, Faranak, Pierre Pinson, Rasoul Azizipanah‐Abarghooee, & Hoay Beng Gooi. (2018). Ellipsoidal Prediction Regions for Multivariate Uncertainty Characterization. IEEE Transactions on Power Systems. 33(4). 4519–4530. 25 indexed citations
15.
Yang, Jingwei, Ning Zhang, Chongqing Kang, & Pierre Pinson. (2017). Modeling the transient security constraints of natural gas network in day-ahead power system scheduling. 1–5. 4 indexed citations
16.
Pinson, Pierre. (2016). Discussion on ‘Of quantiles and expectiles: consistent scoring functions, Choquet representations and forecast rankings’ by Werner Ehm, Tilmann Gneiting, Alexander Jordan and Fabian Krüger. Journal of the Royal Statistical Society Series B (Statistical Methodology). 2 indexed citations
17.
Davis, Neil, Pierre Pinson, Andrea N. Hahmann, Niels‐Erik Clausen, & Mark Žagar. (2015). Identifying and characterizing the impact of turbine icing on wind farm power generation. Wind Energy. 19(8). 1503–1518. 39 indexed citations
18.
Bouallègue, Zied Ben, Pierre Pinson, & Petra Friederichs. (2015). Quantile forecast discrimination ability and value. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 11 indexed citations
19.
Papaefthymiou, G. & Pierre Pinson. (2008). Modeling of Spatial Dependence in Wind Power Forecast Uncertainty. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 1–9. 28 indexed citations
20.
Lacour, Bernard, et al.. (1988). High-efficiency corona phototriggered excimer lasers. Conference on Lasers and Electro-Optics. 1 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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