21 citations as recorded by crossref.

1. Reconstruction of an atmospheric tracer source using the principle of maximum entropy. II: Applications M. Bocquet https://doi.org/10.1256/qj.04.68
2. Source reconstruction of an accidental radionuclide release at European scale M. Krysta & M. Bocquet https://doi.org/10.1002/qj.3
3. Source term estimation with deficient sensors: Traceability and an equivalent source approach K. Cheng et al. https://doi.org/10.1016/j.psep.2021.05.035
4. Sensitivity Operator Framework for Analyzing Heterogeneous Air Quality Monitoring Systems A. Penenko et al. https://doi.org/10.3390/atmos12121697
5. Hybrid Deep Learning and Sensitivity Operator-Based Algorithm for Identification of Localized Emission Sources A. Penenko et al. https://doi.org/10.3390/math12010078
6. Towards the operational estimation of a radiological plume using data assimilation after a radiological accidental atmospheric release V. Winiarek et al. https://doi.org/10.1016/j.atmosenv.2010.12.025
7. Numerical study of the coefficient identification algorithm based on ensembles of adjoint problem solutions for a production-destruction model A. Penenko et al. https://doi.org/10.1515/ijnsns-2019-0088
8. Adaptive Degenerate Space-Based Method for Pollutant Source Term Estimation Using a Backward Lagrangian Stochastic Model O. Buchman & E. Fattal https://doi.org/10.3390/environments12010018
9. Origin of an elevated radioxenon episode: A comparative study between the Swedish radioxenon array and the CTBT International Monitoring System S. Liljegren et al. https://doi.org/10.1016/j.jenvrad.2025.107875
10. High‐resolution reconstruction of a tracer dispersion event: application to ETEX M. Bocquet https://doi.org/10.1002/qj.64
11. Paradigms and commonalities in atmospheric source term estimation methods P. Bieringer et al. https://doi.org/10.1016/j.atmosenv.2017.02.011
12. Modeling the transport of Saharan dust toward the Mediterranean region: an important issue for its ecological implications A. Riccio et al. https://doi.org/10.2478/v10090-009-0019-7
13. Dynamic harmonization of source-oriented and receptor models for source apportionment X. Zhang et al. https://doi.org/10.1016/j.scitotenv.2022.160312
14. Constraining surface emissions of air pollutants using inverse modelling: method intercomparison and a new two-step two-scale regularization approach P. Saide et al. https://doi.org/10.1111/j.1600-0889.2011.00529.x
15. Convergence analysis of the adjoint ensemble method in inverse source problems for advection-diffusion-reaction models with image-type measurements A. Penenko https://doi.org/10.3934/ipi.2020035
16. A Newton–Kantorovich Method in Inverse Source Problems for Production-Destruction Models with Time Series-Type Measurement Data A. Penenko https://doi.org/10.1134/S1995423919010051
17. Data Assimilation Algorithms for Atmospheric Chemistry Models A. Penenko et al. https://doi.org/10.1134/S0001433825700719
18. Reconstruction of an atmospheric tracer source using the principle of maximum entropy. I: Theory M. Bocquet https://doi.org/10.1256/qj.04.67
19. A review of source term estimation methods for atmospheric dispersion events using static or mobile sensors M. Hutchinson et al. https://doi.org/10.1016/j.inffus.2016.11.010
20. Source Identification for the Smoluchowski Equation Using an Ensemble of Adjoint Equation Solutions A. Penenko & A. Salimova https://doi.org/10.1134/S1995423920020068
21. Emission rate and chemical state estimation by 4-dimensional variational inversion H. Elbern et al. https://doi.org/10.5194/acp-7-3749-2007