39 citations as recorded by crossref.

1. An adaptive Bayesian inference algorithm to estimate the parameters of a hazardous atmospheric release H. Rajaona et al. 10.1016/j.atmosenv.2015.10.026
2. An inversion technique for the retrieval of single-point emissions from atmospheric concentration measurements M. Sharan et al. 10.1098/rspa.2008.0402
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. 10.5194/gmd-12-3687-2019
4. Bayesian source identification of urban-scale air pollution from point and field concentration measurements E. Al Aawar et al. 10.1007/s10596-023-10206-5
5. Computation of Optimal Weights for Solving the Atmospheric Source Term Estimation Problem G. Turbelin et al. 10.1175/JTECH-D-18-0145.1
6. Fundamentals of data assimilation applied to biogeochemistry P. Rayner et al. 10.5194/acp-19-13911-2019
7. A refinement of the emission data for Kola Peninsula based on inverse dispersion modelling M. Prank et al. 10.5194/acp-10-10849-2010
8. A Generalized Analytical Model for Crosswind-Integrated Concentrations with Ground-Level Deposition in the Atmospheric Boundary Layer P. Kumar & M. Sharan 10.1007/s10666-014-9405-7
9. A point‐source reconstruction from concentration measurements in low‐wind stable conditions M. Sharan et al. 10.1002/qj.1921
10. Hybrid Deep Learning and Sensitivity Operator-Based Algorithm for Identification of Localized Emission Sources A. Penenko et al. 10.3390/math12010078
11. Utilizing state estimation to determine the source location for a contaminant A. Annunzio et al. 10.1016/j.atmosenv.2011.04.080
12. Characterizing Variations in Concentration Data Measured From Unknown Releases S. Singh et al. 10.1029/2019EA000669
13. Uncertainty characterization in the retrieval of an atmospheric point release S. Singh et al. 10.1016/j.atmosenv.2016.12.016
14. Reconstruction of an atmospheric tracer source in an urban‐like environment P. Kumar et al. 10.1002/2015JD024110
15. Adaptive Degenerate Space-Based Method for Pollutant Source Term Estimation Using a Backward Lagrangian Stochastic Model O. Buchman & E. Fattal 10.3390/environments12010018
16. Identification of a Point of Release by Use of Optimally Weighted Least Squares J. Issartel et al. 10.1007/s00024-011-0381-4
17. A review of source term estimation methods for atmospheric dispersion events using static or mobile sensors M. Hutchinson et al. 10.1016/j.inffus.2016.11.010
18. Reconstructing source terms from atmospheric concentration measurements: Optimality analysis of an inversion technique G. Turbelin et al. 10.1002/2014MS000385
19. A city-scale inverse modelling method for air pollutant source determination Y. Wang et al. 10.1016/j.scs.2022.104248
20. Optimization of an urban monitoring network for emergency response applications: An approach for characterizing the source of hazardous releases P. Ngae et al. 10.1002/qj.3471
21. A comprehensive review of plume source detection using unmanned vehicles for environmental sensing T. Lewis & K. Bhaganagar 10.1016/j.scitotenv.2020.144029
22. Source Identification for the Smoluchowski Equation Using an Ensemble of Adjoint Equation Solutions A. Penenko & A. Salimova 10.1134/S1995423920020068
23. Comparative interpretations of renormalization inversion technique for reconstructing unknown emissions from measured atmospheric concentrations S. Singh et al. 10.1002/2016EA000247
24. An inversion technique to retrieve the source of a tracer with an application to synthetic satellite measurements J. Issartel et al. 10.1098/rspa.2007.1877
25. Algorithms based on sensitivity operators for analyzing and solving inverse modeling problems of transport and transformation of atmospheric pollutants A. Penenko et al. 10.1088/1755-1315/611/1/012032
26. Quantitative microbial risk assessment of bioaerosols from a manure application site M. Jahne et al. 10.1007/s10453-014-9348-0
27. An urban scale inverse modelling for retrieving unknown elevated emissions with building-resolving simulations P. Kumar et al. 10.1016/j.atmosenv.2016.05.050
28. Air pollution modelling in urban environment based on a priori and reconstructed data A. Gochakov et al. 10.1088/1755-1315/211/1/012050
29. Source reconstruction of airborne toxics based on acute health effects information C. Argyropoulos et al. 10.1038/s41598-018-23767-8
30. Sensor configuration optimization based on the entropy of adjoint concentration distribution for stochastic source term estimation in urban environment H. Jia & H. Kikumoto 10.1016/j.scs.2022.103726
31. Odour emissions from a waste treatment plant using an inverse dispersion technique G. Schauberger et al. 10.1016/j.atmosenv.2011.01.007
32. Parallel speedup analysis of an adjoint ensemble-based source identification algorithm A. Penenko & A. Gochakov 10.1088/1742-6596/1715/1/012072
33. Sensitivity Operator Framework for Analyzing Heterogeneous Air Quality Monitoring Systems A. Penenko et al. 10.3390/atmos12121697
34. A City-Scale Inverse Modelling Method for Air Pollutant Source Determination Y. Wang et al. 10.2139/ssrn.4136566
35. A Newton–Kantorovich Method in Inverse Source Problems for Production-Destruction Models with Time Series-Type Measurement Data A. Penenko 10.1134/S1995423919010051
36. Extension of the visibility concept for EEG signal processing V. Debenay et al. 10.1088/1741-2552/adb994
37. Parallel Implementation of a Sensitivity Operator-Based Source Identification Algorithm for Distributed Memory Computers A. Penenko & E. Rusin 10.3390/math10234522
38. Numerical study of the coefficient identification algorithm based on ensembles of adjoint problem solutions for a production-destruction model A. Penenko et al. 10.1515/ijnsns-2019-0088
39. Generalized quantum potentials L. Nottale 10.1088/1751-8113/42/27/275306