Jan Szturc

823 total citations
30 papers, 503 citations indexed

About

Jan Szturc is a scholar working on Atmospheric Science, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Jan Szturc has authored 30 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Atmospheric Science, 14 papers in Environmental Engineering and 10 papers in Global and Planetary Change. Recurrent topics in Jan Szturc's work include Meteorological Phenomena and Simulations (27 papers), Precipitation Measurement and Analysis (23 papers) and Soil Moisture and Remote Sensing (14 papers). Jan Szturc is often cited by papers focused on Meteorological Phenomena and Simulations (27 papers), Precipitation Measurement and Analysis (23 papers) and Soil Moisture and Remote Sensing (14 papers). Jan Szturc collaborates with scholars based in Poland, Finland and Sweden. Jan Szturc's co-authors include Anna Jurczyk, Johanna Orellana‐Alvear, Zbyněk Sokol, Rolando Célleri, Andrzej Wyszogrodzki, Bartosz Czernecki, Leszek Kolendowicz, Marek Półrolniczak, Mateusz Taszarek and Daniel Michelson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing and Atmospheric Research.

In The Last Decade

Jan Szturc

27 papers receiving 492 citations

Peers

Jan Szturc
Comparison fields: 5 of 47
  • Atmospheric Science 429
  • Global and Planetary Change 279
  • Environmental Engineering 153
  • Water Science and Technology 96
  • Aerospace Engineering 26
Replace Yixin Wen with:
Yixin Wen United States
Marco Boscacci Switzerland
Carlos Velasco‐Forero Australia
Yagmur Derin United States
Benoît Vié France
Malcolm Kitchen United Kingdom
G. Galli Switzerland
Estíbaliz Gascón Spain
Clive Pierce United Kingdom
Heather M. Grams United States
Yixin Wen United States View profile →
Citations per field, relative to Jan Szturc
Jan Szturc · 1×
Citations per year, relative to Jan Szturc
Jan Szturc · 1×

Countries citing papers authored by Jan Szturc

Since Specialization
Citations

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

Fields of papers citing papers by Jan Szturc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Szturc

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 2
4 12
5 7
6 111
7 1
8 23
9 17
10 59
11 5
12 5
13 1
14 72
15 21
16
Quality index scheme for 3D radar data volumes
1
17 14
18 13
19
Using of neural network to precipitation nowcasting based on weather radar data
0
20
Perspektywy wykorzystania dopplerowskiego radaru meteorologicznego do pomiarow wiatru w warstwie granicznej
0

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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