Anton Lopatin
About
In The Last Decade
Anton Lopatin
39 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 43
- Global and Planetary Change 1.4k
- Atmospheric Science 1.3k
- Environmental Engineering 87
- Health, Toxicology and Mutagenesis 78
- Ecology 67
Countries citing papers authored by Anton Lopatin
This map shows the geographic impact of Anton Lopatin'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 Anton Lopatin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anton Lopatin more than expected).
Fields of papers citing papers by Anton Lopatin
This network shows the impact of papers produced by Anton Lopatin. 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 Anton Lopatin. The network helps show where Anton Lopatin may publish in the future.
Co-authorship network of co-authors of Anton Lopatin
This figure shows the co-authorship network connecting the top 25 collaborators of Anton Lopatin. A scholar is included among the top collaborators of Anton Lopatin 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 Anton Lopatin. Anton Lopatin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Title | Journal | Authors | Indexed citations |
|---|---|---|---|---|
| 1 | Retrieval and validation of diurnal properties of aerosol and surface from geostationary satellite Himawari-8 using multi-pixel approach | Atmospheric measurement techniques | Chong Li, Оleg Dubovik et al. | 0 |
| 2 | Characterizing Aerosol Optical Properties and Direct Radiative Effects From the Perspective of Components: A Synergy Retrieval Study Based on Sun Photometer and Lidar in Central China | Geophysical Research Letters | Shikuan Jin, Yingying Ma et al. | 7 |
| 3 | Retrieval of microphysical properties of dust aerosols from extinction, backscattering and depolarization lidar measurements using various particle scattering models | Atmospheric chemistry and physics | Yuyang Chang, Qiaoyun Hu et al. | 1 |
| 4 | Extended aerosol and surface characterization from S5P/TROPOMI with GRASP algorithm. Part II: Global validation and Intercomparison | Remote Sensing of Environment | Cheng Chen, Pavel Litvinov et al. | 6 |
| 5 | Inverse Modeling of the Initial Stage of the 1991 Pinatubo Volcanic Cloud Accounting for Radiative Feedback of Volcanic Ash | Journal of Geophysical Research Atmospheres | Alexander Ukhov, Georgiy Stenchikov et al. | 7 |
| 6 | Evaluation of the Accuracy of the Aerosol Optical and Microphysical Retrievals by the GRASP Algorithm from Combined Measurements of a Polarized Sun-Sky-Lunar Photometer and a Three-Wavelength Elastic Lidar | Remote Sensing | Michaël Sicard, Alejandro Rodríguez-Gómez et al. | 1 |
| 7 | Evaluating the effects of columnar NO 2 on the accuracy of aerosol optical properties retrievals | Atmospheric measurement techniques | Ioannis‐Panagiotis Raptis, Stefano Casadio et al. | 2 |
| 8 | Frontiers in Satellite‐Based Estimates of Cloud‐Mediated Aerosol Forcing | Reviews of Geophysics | Daniel Rosenfeld, Alexander Kokhanovsky et al. | 16 |
| 9 | Synergy processing of diverse ground-based remote sensing and in situ data using the GRASP algorithm: applications to radiometer, lidar and radiosonde observations | Atmospheric measurement techniques | Anton Lopatin, Оleg Dubovik et al. | 46 |
| 10 | Is the near-spherical shape the “new black” for smoke? | Atmospheric chemistry and physics | Anna Gialitaki, Alexandra Tsekeri et al. | 17 |
| 11 | Exploring the capabilities of synergistic passive and active remote sensing with a new aerosol retrieval testbed | AGU Fall Meeting Abstracts | R. Espinosa, E. P. Nowottnick et al. | 1 |
| 12 | Rigorous estimates of the retrieval errors in diverse remote sensing applications provided by GRASP algorithm | AGU Fall Meeting Abstracts | Milagros Herrera, Оleg Dubovik et al. | 0 |
| 13 | Lidar-Polarimeter Retrieval OSSEs using a Nature Run in Support of NASA's Aerosols, Clouds, Convection and Precipitation (ACCP) Study | AGU Fall Meeting Abstracts | R. Espinosa, Patricia Castellanos et al. | 1 |
| 14 | Combined use of Mie–Raman and fluorescence lidar observations for improving aerosol characterization: feasibility experiment | Atmospheric measurement techniques | Igor Veselovskii, Qiaoyun Hu et al. | 34 |
| 15 | Retrieval of aerosol components directly from satellite and ground-based measurements | Atmospheric chemistry and physics | Lei Li, Оleg Dubovik et al. | 108 |
| 16 | DIVA: Demonstration of an Integrated approach for the Validation and exploitation of Atmospheric missions | AGU Fall Meeting Abstracts | Benjamín Torres, David Fuertes et al. | 0 |
| 17 | Constraining global aerosol emissions using POLDER/PARASOL satellite remote sensing observations | Atmospheric chemistry and physics | Cheng Chen, Оleg Dubovik et al. | 45 |
| 18 | Different strategies to retrieve aerosol properties at night-time with the GRASP algorithm | Atmospheric chemistry and physics | José Antonio Benavent-Oltra, Roberto Román et al. | 29 |
| 19 | A study of long-range transported smoke aerosols in the Upper Troposphere/Lower Stratosphere | Biogeosciences (European Geosciences Union) | Qiaoyun Hu, Philippe Goloub et al. | 10 |
| 20 | Comparative assessment of GRASP algorithm for a dust event over Granada (Spain) during ChArMEx-ADRIMED 2013 campaign | Atmospheric measurement techniques | José Antonio Benavent-Oltra, Roberto Román et al. | 41 |
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.