Paweł Grabarczyk

83 total papers · 492 total citations
35 papers, 242 citations indexed

About

Paweł Grabarczyk is a scholar working on Sociology and Political Science, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Paweł Grabarczyk has authored 35 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Sociology and Political Science, 8 papers in Artificial Intelligence and 5 papers in Experimental and Cognitive Psychology. Recurrent topics in Paweł Grabarczyk's work include Digital Games and Media (12 papers), Artificial Intelligence in Games (7 papers) and Gender and Technology in Education (4 papers). Paweł Grabarczyk is often cited by papers focused on Digital Games and Media (12 papers), Artificial Intelligence in Games (7 papers) and Gender and Technology in Education (4 papers). Paweł Grabarczyk collaborates with scholars based in Denmark, Poland and Czechia. Paweł Grabarczyk's co-authors include Rune Kristian Lundedal Nielsen, Claus Brabrand, Espen Aarseth, Veli‐Matti Karhulahti, Barbara Baraniak, Helena D. Smolarz, Leon Y. Xiao, Magda Pischetola, Edward Baggs and Philip Newall and has published in prestigious journals such as SHILAP Revista de lepidopterología, Ecological Psychology and New Ideas in Psychology.

In The Last Decade

Paweł Grabarczyk

29 papers receiving 231 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Paweł Grabarczyk 119 62 45 39 28 35 242
Nicola Liberati 73 0.6× 72 1.2× 46 1.0× 9 0.2× 17 0.6× 33 268
Tanya Krzywinska 222 1.9× 26 0.4× 13 0.3× 55 1.4× 37 1.3× 21 303
Kelly Bergstrom 257 2.2× 35 0.6× 8 0.2× 39 1.0× 44 1.6× 37 320
Sonam Adinolf 239 2.0× 76 1.2× 14 0.3× 97 2.5× 50 1.8× 18 326
Isabella M. Venter 48 0.4× 38 0.6× 41 0.9× 23 0.6× 24 0.9× 42 312
Katriina Heljakka 77 0.6× 12 0.2× 26 0.6× 25 0.6× 25 0.9× 38 226
Jennifer G. Kim 62 0.5× 36 0.6× 27 0.6× 16 0.4× 43 1.5× 30 322
Katharina Jahn 167 1.4× 54 0.9× 14 0.3× 74 1.9× 26 0.9× 24 298
Gareth Schott 223 1.9× 26 0.4× 11 0.2× 79 2.0× 27 1.0× 41 330
Patrick Crogan 132 1.1× 8 0.1× 44 1.0× 24 0.6× 15 0.5× 26 207

Countries citing papers authored by Paweł Grabarczyk

Since Specialization
Citations

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

Fields of papers citing papers by Paweł Grabarczyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paweł Grabarczyk

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

All Works

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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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