Jarosław Jasiewicz

1.6k total citations · 1 hit paper
37 papers, 1.1k citations indexed

About

Jarosław Jasiewicz is a scholar working on Environmental Engineering, Global and Planetary Change and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jarosław Jasiewicz has authored 37 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Environmental Engineering, 10 papers in Global and Planetary Change and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jarosław Jasiewicz's work include Geographic Information Systems Studies (7 papers), Remote Sensing in Agriculture (6 papers) and Land Use and Ecosystem Services (6 papers). Jarosław Jasiewicz is often cited by papers focused on Geographic Information Systems Studies (7 papers), Remote Sensing in Agriculture (6 papers) and Land Use and Ecosystem Services (6 papers). Jarosław Jasiewicz collaborates with scholars based in Poland, United States and Germany. Jarosław Jasiewicz's co-authors include T. F. Stepinski, Markus Metz, Paweł Netzel, Wei Luo, Jinfeng Wang, Chengdong Xu, Monika Rzodkiewicz, Michał Woszczyk, Iwona Sobkowiak‐Tabaka and Izabela Zawiska and has published in prestigious journals such as SHILAP Revista de lepidopterología, Geophysical Research Letters and Journal of Environmental Management.

In The Last Decade

Jarosław Jasiewicz

35 papers receiving 1.1k citations

Hit Papers

Geomorphons — a pattern recognition approach to classific... 2012 2026 2016 2021 2012 100 200 300 400 500

Peers

Jarosław Jasiewicz
C. J. Crosby United States
Orhan Altan Türkiye
Jeffrey D. Colby United States
Jochen Schmidt New Zealand
Philippa J. Mason United Kingdom
Jarosław Jasiewicz
Citations per year, relative to Jarosław Jasiewicz Jarosław Jasiewicz (= 1×) peers Clemens Eisank

Countries citing papers authored by Jarosław Jasiewicz

Since Specialization
Citations

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

Fields of papers citing papers by Jarosław Jasiewicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jarosław Jasiewicz

This figure shows the co-authorship network connecting the top 25 collaborators of Jarosław Jasiewicz. A scholar is included among the top collaborators of Jarosław Jasiewicz 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 Jarosław Jasiewicz. Jarosław Jasiewicz 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
1.
Jasiewicz, Jarosław, Jan Piekarczyk, Łukasz Stępień, et al.. (2024). Multidimensional discriminant analysis of species, strains and culture age of closely related entomopathogenic fungi using reflectance spectroscopy. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 313. 124135–124135. 1 indexed citations
2.
Zawiska, Izabela, Jarosław Jasiewicz, Monika Rzodkiewicz, & Michał Woszczyk. (2023). Relative impact of environmental variables on the lake trophic state highlights the complexity of eutrophication controls. Journal of Environmental Management. 345. 118679–118679. 10 indexed citations
3.
Piekarczyk, Jan, et al.. (2023). Classification of Plenodomus lingam and Plenodomus biglobosus in Co-Occurring Samples Using Reflectance Spectroscopy. Agriculture. 13(12). 2228–2228. 1 indexed citations
4.
Jasiewicz, Jarosław, Izabela Zawiska, Monika Rzodkiewicz, & Michał Woszczyk. (2022). Interpretative Machine Learning as a Key in Recognizing the Variability of Lakes Trophy Patterns. Quaestiones Geographicae. 41(1). 127–146. 5 indexed citations
5.
Piekarczyk, Jan, et al.. (2022). Reflectance spectroscopy and machine learning as a tool for the categorization of twin species based on the example of the Diachrysia genus. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 273. 121058–121058. 2 indexed citations
6.
Piekarczyk, Jan, et al.. (2022). Machine Learning-Based Hyperspectral and RGB Discrimination of Three Polyphagous Fungi Species Grown on Culture Media. Agronomy. 12(8). 1965–1965. 2 indexed citations
7.
Zwoliński, Zbigniew, et al.. (2021). Geohazards and Geomorphological Setting in Poznań Urban Area, Poland. Journal of Maps. 17(4). 202–214. 7 indexed citations
8.
Cierniewski, Jerzy, et al.. (2021). Seasonal Net Shortwave Radiation of Bare Arable Land in Poland and Israel According to Roughness and Atmospheric Irradiance. Remote Sensing. 13(10). 1897–1897. 5 indexed citations
9.
Jasiewicz, Jarosław & Jerzy Cierniewski. (2021). SALBEC – A Python Library and GUI Application to Calculate the Diurnal Variation of the Soil Albedo. Quaestiones Geographicae. 40(3). 95–107. 2 indexed citations
10.
Piekarczyk, Jan, et al.. (2018). An application of reflectance spectroscopy to differentiate of entomopathogenic fungi species. Journal of Photochemistry and Photobiology B Biology. 190. 32–41. 13 indexed citations
11.
Jasiewicz, Jarosław, et al.. (2016). Multi-resolution, pattern-based segmentation of very large raster datasets. 1. 2 indexed citations
12.
Stepinski, T. F., et al.. (2016). Unsupervised regionalization of the United States into landscape pattern types. International Journal of Geographical Information Systems. 30(7). 1450–1468. 23 indexed citations
13.
Luo, Wei, et al.. (2015). Spatial association between dissection density and environmental factors over the entire conterminous United States. Geophysical Research Letters. 43(2). 692–700. 147 indexed citations
14.
Jasiewicz, Jarosław, Paweł Netzel, & T. F. Stepinski. (2015). GeoPAT: A toolbox for pattern-based information retrieval from large geospatial databases. Computers & Geosciences. 80. 62–73. 20 indexed citations
15.
Stepinski, T. F., Paweł Netzel, & Jarosław Jasiewicz. (2013). LandEx—A GeoWeb Tool for Query and Retrieval of Spatial Patterns in Land Cover Datasets. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 7(1). 257–266. 24 indexed citations
16.
Jasiewicz, Jarosław & T. F. Stepinski. (2012). Machine vision approach to auto-generation of high resolution, continental-scale geomorphometric map from DEM. EGU General Assembly Conference Abstracts. 3373. 2 indexed citations
17.
Jasiewicz, Jarosław & T. F. Stepinski. (2012). Global Geomorphometric Map of Mars. Lunar and Planetary Science Conference. 1347. 1 indexed citations
18.
Jasiewicz, Jarosław & T. F. Stepinski. (2012). Example-Based Retrieval of Alike Land-Cover Scenes From NLCD2006 Database. IEEE Geoscience and Remote Sensing Letters. 10(1). 155–159. 21 indexed citations
19.
Jasiewicz, Jarosław & Markus Metz. (2011). A new GRASS GIS toolkit for Hortonian analysis of drainage networks. Computers & Geosciences. 37(8). 1162–1173. 106 indexed citations
20.
Jasiewicz, Jarosław, et al.. (2009). Using multivariate statistics and fuzzy logic system to analyse settlement preferences in lowland areas of the temperate zone: an example from the Polish Lowlands. Journal of Archaeological Science. 36(10). 2096–2107. 36 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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