Paweł Dybała

60 total papers · 560 total citations
35 papers, 260 citations indexed

About

Paweł Dybała is a scholar working on Experimental and Cognitive Psychology, Social Psychology and Artificial Intelligence. According to data from OpenAlex, Paweł Dybała has authored 35 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Experimental and Cognitive Psychology, 24 papers in Social Psychology and 18 papers in Artificial Intelligence. Recurrent topics in Paweł Dybała's work include Humor Studies and Applications (16 papers), Sentiment Analysis and Opinion Mining (15 papers) and Language, Metaphor, and Cognition (14 papers). Paweł Dybała is often cited by papers focused on Humor Studies and Applications (16 papers), Sentiment Analysis and Opinion Mining (15 papers) and Language, Metaphor, and Cognition (14 papers). Paweł Dybała collaborates with scholars based in Japan and Poland. Paweł Dybała's co-authors include Michał Ptaszyński, Rafał Rzepka, Kenji Araki, Fumito Masui and Kenji Araki and has published in prestigious journals such as Cognitive Science, Applied Sciences and IEEE Transactions on Affective Computing.

In The Last Decade

Paweł Dybała

32 papers receiving 240 citations

Author Peers

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

Author						Papers	Cites
Paweł Dybała	178	113	108	44	32	35	260
Naoko Tosa	111 0.6×	63 0.6×	115 1.1×	61 1.4×	36 1.1×	60	308
Valeria Carofiglio	165 0.9×	175 1.5×	56 0.5×	48 1.1×	36 1.1×	18	320
Birgit Endraß	128 0.7×	147 1.3×	49 0.5×	51 1.2×	31 1.0×	20	255
Rutger Rienks	131 0.7×	76 0.7×	33 0.3×	37 0.8×	18 0.6×	17	238
Martin Klesen	262 1.5×	76 0.7×	35 0.3×	30 0.7×	15 0.5×	20	317
Jiahao Chen	79 0.4×	109 1.0×	46 0.4×	42 1.0×	44 1.4×	25	230
Alkım Almila Akdağ Salah	81 0.5×	40 0.4×	52 0.5×	16 0.4×	45 1.4×	42	322
Morena Danieli	144 0.8×	45 0.4×	93 0.9×	20 0.5×	16 0.5×	35	319
Ingo Siegert	168 0.9×	50 0.4×	165 1.5×	21 0.5×	12 0.4×	62	307
Gözde Özbal	121 0.7×	33 0.3×	63 0.6×	8 0.2×	10 0.3×	22	191

Countries citing papers authored by Paweł Dybała

Since Specialization

Citations

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

Fields of papers citing papers by Paweł Dybała

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paweł Dybała

This figure shows the co-authorship network connecting the top 25 collaborators of Paweł Dybała. A scholar is included among the top collaborators of Paweł Dybała 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 Dybała. Paweł Dybała 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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