Julie Bessac

503 total citations
23 papers, 218 citations indexed

About

Julie Bessac is a scholar working on Global and Planetary Change, Atmospheric Science and Electrical and Electronic Engineering. According to data from OpenAlex, Julie Bessac has authored 23 papers receiving a total of 218 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Global and Planetary Change, 8 papers in Atmospheric Science and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Julie Bessac's work include Climate variability and models (12 papers), Meteorological Phenomena and Simulations (7 papers) and Hydrology and Drought Analysis (6 papers). Julie Bessac is often cited by papers focused on Climate variability and models (12 papers), Meteorological Phenomena and Simulations (7 papers) and Hydrology and Drought Analysis (6 papers). Julie Bessac collaborates with scholars based in United States, Canada and United Kingdom. Julie Bessac's co-authors include Pierre Ailliot, Valérie Monbet, V. R. Kotamarthi, Amanda Lenzi, Jiali Wang, Eugene Yan, Michael L. Stein, Françoise Pène, Johann Rudi and Adam H. Monahan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Monthly Weather Review.

In The Last Decade

Julie Bessac

19 papers receiving 214 citations

Peers

Julie Bessac

GPC

EEE

Tanja Van Achteren Belgium

Fan Xia China

Kuo Liao China

Abdul Ghapor Hussin Malaysia

M. Doǧruel Türkiye

Nargess Memarsadeghi United States

Stefano Casadei Italy

Panu Srestasathiern Thailand

Shrutilipi Bhattacharjee India

Janusz Filipiak Poland

Tanja Van Achteren Belgium

Julie Bessac

71 ×0.7

GPC

47 ×1.0

40 ×1.0

EEE

56 ×1.7

18 ×0.6

Citations per year, relative to Julie Bessac Julie Bessac (= 1×) peers Tanja Van Achteren

Countries citing papers authored by Julie Bessac

Since Specialization

Citations

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

Fields of papers citing papers by Julie Bessac

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julie Bessac

This figure shows the co-authorship network connecting the top 25 collaborators of Julie Bessac. A scholar is included among the top collaborators of Julie Bessac 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 Julie Bessac. Julie Bessac 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

Anitescu, Mihai, et al.. (2025). A framework for balancing power grid efficiency and risk with bi-objective stochastic integer optimization. Optimization and Engineering. 26(3). 1567–1612. 2 indexed citations

Bessac, Julie, et al.. (2025). Joint Modeling of Wind Speed and Wind Direction Through a Conditional Approach. Environmetrics. 36(3).

Bessac, Julie, et al.. (2025). Online learning of quadratic manifolds from streaming data for nonlinear dimensionality reduction and nonlinear model reduction. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 481(2314).

Bessac, Julie, et al.. (2024). Uncertainty Visualization Challenges in Decision Systems with Ensemble Data & Surrogate Models. 12–16.

Underwood, Robert, et al.. (2023). Black-box statistical prediction of lossy compression ratios for scientific data. The International Journal of High Performance Computing Applications. 37(3-4). 412–433. 6 indexed citations

Bessac, Julie, et al.. (2023). Statistical Treatment of Convolutional Neural Network Superresolution of Inland Surface Wind for Subgrid-Scale Variability Quantification. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 3(1). 1 indexed citations

Underwood, Robert, et al.. (2023). A Lightweight, Effective Compressibility Estimation Method for Error-bounded Lossy Compression. 247–258. 1 indexed citations

Wang, Jiali, et al.. (2022). Projected U.S. drought extremes through the twenty-first century with vapor pressure deficit. Scientific Reports. 12(1). 8615–8615. 61 indexed citations

Bessac, Julie, et al.. (2022). A conditional approach for joint estimation of wind speed and direction under future climates. SHILAP Revista de lepidopterología. 8(2). 205–224. 6 indexed citations

10.

Lenzi, Amanda, Julie Bessac, & Mihai Anitescu. (2022). Detecting Large Frequency Excursions in the Power Grid With Bayesian Decision Theory. IEEE Open Access Journal of Power and Energy. 9. 66–75. 1 indexed citations

11.

Underwood, Robert, Julie Bessac, Sheng Di, & Franck Cappello. (2022). Understanding the Effects of Modern Compressors on the Community Earth Science Model. 1–10. 4 indexed citations

12.

Bessac, Julie, et al.. (2022). Nonstationary seasonal model for daily mean temperature distribution bridging bulk and tails. Weather and Climate Extremes. 36. 100438–100438. 8 indexed citations

13.

Lenzi, Amanda, Julie Bessac, & Mihai Anitescu. (2021). Power grid frequency prediction using spatiotemporal modeling. Statistical Analysis and Data Mining The ASA Data Science Journal. 14(6). 662–675. 8 indexed citations

14.

Bessac, Julie, et al.. (2021). Scale‐Aware Space‐Time Stochastic Parameterization of Subgrid‐Scale Velocity Enhancement of Sea Surface Fluxes. Journal of Advances in Modeling Earth Systems. 13(4). 5 indexed citations

15.

Yu, Manzhu, Julie Bessac, Ling Xu, et al.. (2020). Image Segmentation for Dust Detection Using Semi-supervised Machine Learning. 1745–1754. 3 indexed citations

16.

Bessac, Julie, Emil M. Constantinescu, & Mihai Anitescu. (2018). Stochastic simulation of predictive space–time scenarios of wind speed using observations and physical model outputs. The Annals of Applied Statistics. 12(1). 8 indexed citations

17.

Wang, Jiali, et al.. (2017). Internal variability of a dynamically downscaled climate over North America. Climate Dynamics. 50(11-12). 4539–4559. 5 indexed citations

18.

Bessac, Julie, Pierre Ailliot, Julien Cattiaux, & Valérie Monbet. (2016). Comparison of hidden and observed regime-switching autoregressive models for (<i>u</i>, <i>v</i>)-components of wind fields in the northeastern Atlantic. SHILAP Revista de lepidopterología. 2(1). 1–16. 15 indexed citations

19.

Bessac, Julie, Pierre Ailliot, & Valérie Monbet. (2014). Gaussian linear state‐space model for wind fields in the North‐East Atlantic. Environmetrics. 26(1). 29–38. 8 indexed citations

20.

Ailliot, Pierre, Julie Bessac, Valérie Monbet, & Françoise Pène. (2014). Non-homogeneous hidden Markov-switching models for wind time series. Journal of Statistical Planning and Inference. 160. 75–88. 33 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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