40 citations as recorded by crossref.

1. An adaptive Bayesian inference algorithm to estimate the parameters of a hazardous atmospheric release H. Rajaona et al.
2. An inversion technique for the retrieval of single-point emissions from atmospheric concentration measurements M. Sharan et al.
3. An optimization for reducing the size of an existing urban-like monitoring network for retrieving an unknown point source emission H. Kouichi et al.
4. Bayesian source identification of urban-scale air pollution from point and field concentration measurements E. Al Aawar et al.
5. Computation of Optimal Weights for Solving the Atmospheric Source Term Estimation Problem G. Turbelin et al.
6. Fundamentals of data assimilation applied to biogeochemistry P. Rayner et al.
7. A refinement of the emission data for Kola Peninsula based on inverse dispersion modelling M. Prank et al.
8. A Review of Source-Term Estimation for Continuous Methane Monitoring: From Data Acquisition to Modeling and Estimation Z. Xie et al.
9. A Generalized Analytical Model for Crosswind-Integrated Concentrations with Ground-Level Deposition in the Atmospheric Boundary Layer P. Kumar & M. Sharan
10. A point‐source reconstruction from concentration measurements in low‐wind stable conditions M. Sharan et al.
11. Hybrid Deep Learning and Sensitivity Operator-Based Algorithm for Identification of Localized Emission Sources A. Penenko et al.
12. Utilizing state estimation to determine the source location for a contaminant A. Annunzio et al.
13. Characterizing Variations in Concentration Data Measured From Unknown Releases S. Singh et al.
14. Uncertainty characterization in the retrieval of an atmospheric point release S. Singh et al.
15. Reconstruction of an atmospheric tracer source in an urban‐like environment P. Kumar et al.
16. Adaptive Degenerate Space-Based Method for Pollutant Source Term Estimation Using a Backward Lagrangian Stochastic Model O. Buchman & E. Fattal
17. Data Assimilation Algorithms for Atmospheric Chemistry Models A. Penenko et al.
18. Identification of a Point of Release by Use of Optimally Weighted Least Squares J. Issartel et al.
19. A review of source term estimation methods for atmospheric dispersion events using static or mobile sensors M. Hutchinson et al.
20. Reconstructing source terms from atmospheric concentration measurements: Optimality analysis of an inversion technique G. Turbelin et al.
21. A city-scale inverse modelling method for air pollutant source determination Y. Wang et al.
22. Optimization of an urban monitoring network for emergency response applications: An approach for characterizing the source of hazardous releases P. Ngae et al.
23. A comprehensive review of plume source detection using unmanned vehicles for environmental sensing T. Lewis & K. Bhaganagar
24. Source Identification for the Smoluchowski Equation Using an Ensemble of Adjoint Equation Solutions A. Penenko & A. Salimova
25. Comparative interpretations of renormalization inversion technique for reconstructing unknown emissions from measured atmospheric concentrations S. Singh et al.
26. An inversion technique to retrieve the source of a tracer with an application to synthetic satellite measurements J. Issartel et al.
27. Algorithms based on sensitivity operators for analyzing and solving inverse modeling problems of transport and transformation of atmospheric pollutants A. Penenko et al.
28. Quantitative microbial risk assessment of bioaerosols from a manure application site M. Jahne et al.
29. An urban scale inverse modelling for retrieving unknown elevated emissions with building-resolving simulations P. Kumar et al.
30. Air pollution modelling in urban environment based on a priori and reconstructed data A. Gochakov et al.
31. Source reconstruction of airborne toxics based on acute health effects information C. Argyropoulos et al.
32. Sensor configuration optimization based on the entropy of adjoint concentration distribution for stochastic source term estimation in urban environment H. Jia & H. Kikumoto
33. Odour emissions from a waste treatment plant using an inverse dispersion technique G. Schauberger et al.
34. Parallel speedup analysis of an adjoint ensemble-based source identification algorithm A. Penenko & A. Gochakov
35. Sensitivity Operator Framework for Analyzing Heterogeneous Air Quality Monitoring Systems A. Penenko et al.
36. A City-Scale Inverse Modelling Method for Air Pollutant Source Determination Y. Wang et al.
37. A Newton–Kantorovich Method in Inverse Source Problems for Production-Destruction Models with Time Series-Type Measurement Data A. Penenko
38. Extension of the visibility concept for EEG signal processing V. Debenay et al.
39. Parallel Implementation of a Sensitivity Operator-Based Source Identification Algorithm for Distributed Memory Computers A. Penenko & E. Rusin
40. Numerical study of the coefficient identification algorithm based on ensembles of adjoint problem solutions for a production-destruction model A. Penenko et al.