Jan Musiał

1.5k total citations
17 papers, 368 citations indexed

About

Jan Musiał is a scholar working on Atmospheric Science, Global and Planetary Change and Ecology. According to data from OpenAlex, Jan Musiał has authored 17 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Atmospheric Science, 9 papers in Global and Planetary Change and 6 papers in Ecology. Recurrent topics in Jan Musiał's work include Atmospheric and Environmental Gas Dynamics (6 papers), Atmospheric aerosols and clouds (5 papers) and Meteorological Phenomena and Simulations (4 papers). Jan Musiał is often cited by papers focused on Atmospheric and Environmental Gas Dynamics (6 papers), Atmospheric aerosols and clouds (5 papers) and Meteorological Phenomena and Simulations (4 papers). Jan Musiał collaborates with scholars based in Poland, Switzerland and Italy. Jan Musiał's co-authors include Fabia Hüsler, Nadine Gobron, Michel M. Verstraete, Michael Riffler, Tobias Jonas, Jędrzej S. Bojanowski, Christoph Neuhaus, Katarzyna Dąbrowska‐Zielińska, Krzysztof M. Markowicz and Maciej Bartold and has published in prestigious journals such as Atmospheric chemistry and physics, Remote Sensing and International Journal of Applied Earth Observation and Geoinformation.

In The Last Decade

Jan Musiał

17 papers receiving 361 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jan Musiał Poland	11	196	136	126	93	33	17	368
Peilin Song China	11	151 0.8×	105 0.8×	193 1.5×	79 0.8×	39 1.2×	28	320
Huazhu Xue China	10	172 0.9×	149 1.1×	162 1.3×	86 0.9×	26 0.8×	46	364
Zijin Yuan China	11	137 0.7×	153 1.1×	147 1.2×	51 0.5×	16 0.5×	13	328
Hamid Reza Ghafarian Malamiri Iran	12	160 0.8×	197 1.4×	198 1.6×	127 1.4×	48 1.5×	31	418
Greg Easson United States	11	114 0.6×	108 0.8×	90 0.7×	82 0.9×	35 1.1×	32	329
Jędrzej S. Bojanowski Poland	12	152 0.8×	303 2.2×	147 1.2×	120 1.3×	63 1.9×	25	503
Jiaxin Qian China	10	123 0.6×	189 1.4×	194 1.5×	155 1.7×	72 2.2×	23	438
Yinghong Jing China	7	180 0.9×	143 1.1×	110 0.9×	162 1.7×	16 0.5×	11	407
Peiqing Lou China	11	133 0.7×	129 0.9×	100 0.8×	162 1.7×	22 0.7×	31	366
David Oesch Switzerland	8	187 1.0×	198 1.5×	203 1.6×	131 1.4×	49 1.5×	14	490

Countries citing papers authored by Jan Musiał

Since Specialization

Citations

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

Fields of papers citing papers by Jan Musiał

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Musiał

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Musiał. A scholar is included among the top collaborators of Jan Musiał 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 Jan Musiał. Jan Musiał is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Markowicz, Krzysztof M., et al.. (2023). Estimations of the Ground-Level NO2 Concentrations Based on the Sentinel-5P NO2 Tropospheric Column Number Density Product. Remote Sensing. 15(2). 378–378. 20 indexed citations

Woźniak, Edyta, et al.. (2022). Multi-temporal phenological indices derived from time series Sentinel-1 images to country-wide crop classification. International Journal of Applied Earth Observation and Geoinformation. 107. 102683–102683. 36 indexed citations

Bojanowski, Jędrzej S., et al.. (2022). Integration of Sentinel-3 and MODIS Vegetation Indices with ERA-5 Agro-Meteorological Indicators for Operational Crop Yield Forecasting. Remote Sensing. 14(5). 1238–1238. 16 indexed citations

Musiał, Jan & Jędrzej S. Bojanowski. (2022). Comparison of the Novel Probabilistic Self-Optimizing Vectorized Earth Observation Retrieval Classifier with Common Machine Learning Algorithms. Remote Sensing. 14(2). 378–378. 6 indexed citations

Markowicz, Krzysztof M., et al.. (2021). Reduction of Air Pollution in Poland in Spring 2020 during the Lockdown Caused by the COVID-19 Pandemic. Remote Sensing. 13(18). 3784–3784. 8 indexed citations

Bojanowski, Jędrzej S. & Jan Musiał. (2020). Dissecting effects of orbital drift of polar-orbiting satellites on accuracy and trends of climate data records of cloud fractional cover. Atmospheric measurement techniques. 13(12). 6771–6788. 5 indexed citations

Musiał, Jan, et al.. (2020). Derivation and validation of the high resolution satellite soil moisture products: a case study of the Biebrza Sentinel-1 validation sites. 8. 12 indexed citations

Dąbrowska‐Zielińska, Katarzyna, et al.. (2018). Soil Moisture in the Biebrza Wetlands Retrieved from Sentinel-1 Imagery. Remote Sensing. 10(12). 1979–1979. 51 indexed citations

Musiał, Jan & Jędrzej S. Bojanowski. (2017). AVHRR LAC satellite cloud climatology over Central Europe derived by the Vectorized Earth Observation Retrieval (VEOR) method and PyLAC software. 9. 4 indexed citations

10.

Dąbrowska‐Zielińska, Katarzyna, et al.. (2017). Application of Sentinel-1 VH and VV and Sentinel-2 for soil moisture studies. 13–13. 4 indexed citations

11.

Hüsler, Fabia, et al.. (2014). A satellite-based snow cover climatology (1985–2011) for the European Alps derived from AVHRR data. The cryosphere. 8(1). 73–90. 83 indexed citations

12.

Musiał, Jan, et al.. (2014). Probabilistic approach to cloud and snow detection on Advanced Very High Resolution Radiometer (AVHRR) imagery. Atmospheric measurement techniques. 7(3). 799–822. 28 indexed citations

13.

Musiał, Jan, et al.. (2014). Daytime Low Stratiform Cloud Detection on AVHRR Imagery. Remote Sensing. 6(6). 5124–5150. 18 indexed citations

14.

Musiał, Jan, et al.. (2013). Probabilistic approach to cloud and snow detection on AVHRR imagery. 1 indexed citations

15.

Hüsler, Fabia, Fabio Fontana, Christoph Neuhaus, et al.. (2011). AVHRR Archive and Processing Facility at the University of Bern: A comprehensive 1-km satellite data set for climate change studies. Bern Open Repository and Information System (University of Bern). 15 indexed citations

16.

Musiał, Jan, Michel M. Verstraete, & Nadine Gobron. (2011). Comparing the effectiveness of recent algorithms to fill and smooth incomplete and noisy time series. Joint Research Centre (European Commission). 14 indexed citations

17.

Musiał, Jan, Michel M. Verstraete, & Nadine Gobron. (2011). Technical Note: Comparing the effectiveness of recent algorithms to fill and smooth incomplete and noisy time series. Atmospheric chemistry and physics. 11(15). 7905–7923. 47 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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