Marcin Skowron

21 papers and 151 indexed citations i.

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 21 papers receiving a total of 151 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 6 papers in Social Psychology and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Marcin Skowron’s work include Topic Modeling (6 papers), Opinion Dynamics and Social Influence (5 papers) and Sentiment Analysis and Opinion Mining (5 papers). Marcin Skowron is often cited by papers focused on Topic Modeling (6 papers), Opinion Dynamics and Social Influence (5 papers) and Sentiment Analysis and Opinion Mining (5 papers). Marcin Skowron collaborates with scholars based in Austria, United Kingdom and Japan. Marcin Skowron's co-authors include Antonios Garas, Frank Schweitzer, David García, Martin Trapp, Arvid Kappas, George Paltoglou, Markus Schedl, Bogdan Ionescu, Kenji Araki and Mats Sjöberg 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

Co-authorship network of co-authors of Marcin Skowron i

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.

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).

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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