Marcin Skowron

61 total papers · 819 total citations
32 papers, 336 citations indexed

About

Marcin Skowron is a scholar working on Artificial Intelligence, Social Psychology and Statistical and Nonlinear Physics. According to data from OpenAlex, Marcin Skowron has authored 32 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 8 papers in Social Psychology and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in Marcin Skowron's work include Topic Modeling (8 papers), Sentiment Analysis and Opinion Mining (7 papers) and Opinion Dynamics and Social Influence (6 papers). Marcin Skowron is often cited by papers focused on Topic Modeling (8 papers), Sentiment Analysis and Opinion Mining (7 papers) and Opinion Dynamics and Social Influence (6 papers). Marcin Skowron collaborates with scholars based in Austria, United Kingdom and Switzerland. Marcin Skowron's co-authors include Markus Schedl, Bruce Ferwerda, Marko Tkalčič, Antonios Garas, David García, Frank Schweitzer, George Paltoglou, Stéphane Gobron, Martin Trapp and Arvid Kappas and has published in prestigious journals such as Scientific Reports, Physica A Statistical Mechanics and its Applications and IEEE Transactions on Affective Computing.

In The Last Decade

Marcin Skowron

28 papers receiving 318 citations

Author Peers

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

Author						Papers	Cites
Marcin Skowron	151	101	87	60	42	32	336
Guangchen Ruan	132 0.9×	102 1.0×	109 1.3×	58 1.0×	15 0.4×	22	399
Marian-Andrei Rizoiu	102 0.7×	57 0.6×	109 1.3×	19 0.3×	21 0.5×	35	298
Golnoosh Farnadi	199 1.3×	38 0.4×	78 0.9×	82 1.4×	116 2.8×	34	387
Alkım Almila Akdağ Salah	81 0.5×	38 0.4×	45 0.5×	40 0.7×	7 0.2×	42	322
Nicholas Dames	132 0.9×	37 0.4×	52 0.6×	32 0.5×	24 0.6×	19	365
Bibo Hao	99 0.7×	36 0.4×	70 0.8×	171 2.9×	174 4.1×	17	373
Mary Jean Amon	83 0.5×	13 0.1×	83 1.0×	95 1.6×	23 0.5×	43	392
Marco Elio Tabacchi	66 0.4×	11 0.1×	110 1.3×	28 0.5×	25 0.6×	39	341
Ann O’Brien	110 0.7×	51 0.5×	43 0.5×	16 0.3×	7 0.2×	33	401
Xin Zheng	80 0.5×	46 0.5×	54 0.6×	19 0.3×	20 0.5×	18	370

Countries citing papers authored by Marcin Skowron

Since Specialization

Citations

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

Fields of papers citing papers by Marcin Skowron

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcin Skowron

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