Tomasz Kossowski

2.5k total citations · 1 hit paper
28 papers, 1.7k citations indexed

About

Tomasz Kossowski is a scholar working on Economics and Econometrics, Safety Research and Global and Planetary Change. According to data from OpenAlex, Tomasz Kossowski has authored 28 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Economics and Econometrics, 7 papers in Safety Research and 5 papers in Global and Planetary Change. Recurrent topics in Tomasz Kossowski's work include Spatial and Panel Data Analysis (12 papers), Polish socio-economic development (9 papers) and Regional Economic and Spatial Analysis (7 papers). Tomasz Kossowski is often cited by papers focused on Spatial and Panel Data Analysis (12 papers), Polish socio-economic development (9 papers) and Regional Economic and Spatial Analysis (7 papers). Tomasz Kossowski collaborates with scholars based in Poland, Norway and Slovakia. Tomasz Kossowski's co-authors include Jan Hauke, Roger Bivand, Ewa Bednorz, Drahoslav Lančarič, Barbara Woronko, Małgorzata Pisarska‐Jamroży, Michał Bernard Pietrzak, Francesco Carrer, Amaury de Souza and Renata Graf and has published in prestigious journals such as SHILAP Revista de lepidopterología, CATENA and Journal of Archaeological Science.

In The Last Decade

Tomasz Kossowski

24 papers receiving 1.7k citations

Hit Papers

Comparison of Values of Pearson's and Spearman's Correlat... 2011 2026 2016 2021 2011 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomasz Kossowski Poland 8 270 189 174 148 143 28 1.7k
Jan Hauke Poland 12 276 1.0× 196 1.0× 181 1.0× 192 1.3× 144 1.0× 39 2.0k
Paul Hewson United Kingdom 18 192 0.7× 162 0.9× 173 1.0× 133 0.9× 257 1.8× 53 3.0k
Malika Charrad Tunisia 4 248 0.9× 85 0.4× 237 1.4× 98 0.7× 167 1.2× 5 2.0k
Véronique Boiteau Canada 6 245 0.9× 85 0.4× 237 1.4× 97 0.7× 157 1.1× 7 2.1k
Yulia R. Gel United States 24 247 0.9× 180 1.0× 138 0.8× 108 0.7× 360 2.5× 110 3.2k
Nadia Ghazzali Canada 7 247 0.9× 86 0.5× 238 1.4× 98 0.7× 186 1.3× 17 2.0k
Gerhard Tutz Germany 9 203 0.8× 185 1.0× 216 1.2× 170 1.1× 372 2.6× 16 2.6k
Hana Ševčíková United States 13 237 0.9× 200 1.1× 170 1.0× 127 0.9× 65 0.5× 43 1.7k
Garrett Grolemund United States 8 201 0.7× 57 0.3× 317 1.8× 99 0.7× 177 1.2× 9 1.6k
Wang China 15 231 0.9× 154 0.8× 105 0.6× 120 0.8× 76 0.5× 390 1.3k

Countries citing papers authored by Tomasz Kossowski

Since Specialization
Citations

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

Fields of papers citing papers by Tomasz Kossowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomasz Kossowski

This figure shows the co-authorship network connecting the top 25 collaborators of Tomasz Kossowski. A scholar is included among the top collaborators of Tomasz Kossowski 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 Tomasz Kossowski. Tomasz Kossowski 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.
Woronko, Barbara, et al.. (2024). Urartian Red Burnished Ware in local context: An archaeometric study of the assemblage from Metsamor (Armenia, South Caucasus). Journal of Archaeological Science Reports. 53. 104370–104370.
2.
Woronko, Barbara, et al.. (2023). Factors influencing the development of microtextures on cold‐climate aeolian quartz grains revealed by experimental frost action. Permafrost and Periglacial Processes. 34(2). 259–283. 7 indexed citations
3.
Souza, Amaury de, et al.. (2022). Modeling of the air temperature using the Extreme Value Theory for selected biomes in Mato Grosso do Sul (Brazil). Stochastic Environmental Research and Risk Assessment. 36(10). 3499–3516. 4 indexed citations
4.
Woronko, Barbara, et al.. (2022). Micro-scale frost-weathering simulation – Changes in grain-size composition and influencing factors. CATENA. 212. 106106–106106. 9 indexed citations
5.
Kossowski, Tomasz, et al.. (2021). The diversity and spatial polarisation of own incomes of the Polish gminas. Wiadomości Statystyczne The Polish Statistician. 66(8). 1–23. 2 indexed citations
6.
Carrer, Francesco, et al.. (2020). The application of Local Indicators for Categorical Data (LICD) to explore spatial dependence in archaeological spaces. Journal of Archaeological Science. 126. 105306–105306. 7 indexed citations
7.
Kossowski, Tomasz, et al.. (2019). Multicriterion Typology of Agriculture: A Spatial Dependence Approach. Quaestiones Geographicae. 38(2). 29–49. 12 indexed citations
8.
Kossowski, Tomasz, et al.. (2018). Identyfikacja typów rolnictwa Polski z uwzględnieniem zależności przestrzennych.
9.
Bivand, Roger, et al.. (2017). Spatial association of population pyramids across Europe: The application of symbolic data, cluster analysis and join-count tests. Spatial Statistics. 21. 339–361. 18 indexed citations
10.
Kossowski, Tomasz, et al.. (2016). Wykorzystanie metody autokorelacji przestrzennej do analizy ubóstwa na obszarach wiejskich. Wiadomości Statystyczne The Polish Statistician. 61(10). 22–32. 4 indexed citations
11.
Kossowski, Tomasz, et al.. (2015). Wpływ wyboru metody klasyfikacji na identyfikację zależności przestrzennych – zastosowanie testu join-count. Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu. 1 indexed citations
12.
Więckowska, Barbara, et al.. (2015). The detection of areas in Poland with an increased prevalence of isolated cleft lip with or without cleft palate. Annals of Agricultural and Environmental Medicine. 22(1). 110–117. 4 indexed citations
13.
Kossowski, Tomasz, et al.. (2014). Regional competitiveness of agriculture in Poland. SHILAP Revista de lepidopterología. 57–70. 3 indexed citations
14.
Kossowski, Tomasz, et al.. (2014). REGIONAL COMPETITIVENESS OF AGRICULTURE IN POLAND. AgEcon Search (University of Minnesota, USA). 3(164). 57–70. 2 indexed citations
15.
Bivand, Roger, Jan Hauke, & Tomasz Kossowski. (2013). Computing theJacobian inGaussian Spatial Autoregressive Models: An Illustrated Comparison of Available Methods. Geographical Analysis. 45(2). 150–179. 283 indexed citations
16.
Kossowski, Tomasz, et al.. (2012). Fundusze strukturalne w rozwoju lokalnym. Podstawowe problemy na przykładzie miasta Zamość. SHILAP Revista de lepidopterología. 77–82. 2 indexed citations
17.
Kossowski, Tomasz & Jan Hauke. (2012). Analysis of the Labour Market in Metropolitan Areas: A Spatial Filtering Approach. Pressto (Uniwersytetu Adama Mickiewicza). 31(2). 39–48. 2 indexed citations
18.
Więckowska, Barbara, et al.. (2012). Location of Cleft Lip with or without Cleft Palate Prevalence Clusters using Kulldorff Scan Statistics. Computational Methods in Science and Technology. 18(1). 53–62. 2 indexed citations
19.
Kossowski, Tomasz & Jan Hauke. (2011). The method of computing the Log-Jacobian of the variable transformation for spatial models - test and comments. University of Lodz Repository (University of Łódź). 161–173. 1 indexed citations
20.
Hauke, Jan & Tomasz Kossowski. (2011). Comparison of Values of Pearson's and Spearman's Correlation Coefficients on the Same Sets of Data. Pressto (Uniwersytetu Adama Mickiewicza). 30(2). 87–93. 1322 indexed citations breakdown →

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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