Marcin Skowron

822 total citations
32 papers, 337 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 337 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, Frank Schweitzer, David García, George Paltoglou, Stéphane Gobron, Arvid Kappas and Martin Trapp 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 319 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcin Skowron Austria 9 150 101 87 60 43 32 337
Funda Kivran-Swaine United States 7 117 0.8× 119 1.2× 149 1.7× 44 0.7× 20 0.5× 9 379
Scott Nowson United Kingdom 9 298 2.0× 47 0.5× 78 0.9× 98 1.6× 148 3.4× 20 525
Golnoosh Farnadi United States 10 200 1.3× 38 0.4× 78 0.9× 82 1.4× 119 2.8× 35 392
Chris Sumner United States 5 131 0.9× 57 0.6× 128 1.5× 70 1.2× 121 2.8× 6 351
Karine Megerdoomian United States 10 231 1.5× 29 0.3× 73 0.8× 65 1.1× 13 0.3× 24 459
Alkım Almila Akdağ Salah Netherlands 10 81 0.5× 38 0.4× 45 0.5× 41 0.7× 7 0.2× 42 323
Marco Guerini Italy 13 348 2.3× 33 0.3× 97 1.1× 42 0.7× 7 0.2× 53 521
Lucie Flek Germany 12 251 1.7× 17 0.2× 61 0.7× 84 1.4× 28 0.7× 41 358
Eduardo Blanco United States 14 545 3.6× 17 0.2× 79 0.9× 87 1.4× 31 0.7× 72 693
Kathy McKeown United States 14 518 3.5× 40 0.4× 54 0.6× 78 1.3× 7 0.2× 26 632

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

20 of 20 papers shown
1.
Parada‐Cabaleiro, Emilia, et al.. (2024). Song lyrics have become simpler and more repetitive over the last five decades. Scientific Reports. 14(1). 5531–5531. 8 indexed citations
2.
Skowron, Marcin, et al.. (2018). Academic-Industrial Perspective on the Development and Deployment of a Moderation System for a Newspaper Website.. Language Resources and Evaluation. 4 indexed citations
3.
Skowron, Marcin, et al.. (2017). Strategic Talk in Film. Cybernetics & Systems. 48(8). 576–596. 2 indexed citations
4.
Schedl, Markus, Florian Lemmerich, Bruce Ferwerda, Marcin Skowron, & Peter Knees. (2017). Indicators of Country Similarity in Terms of Music Taste, Cultural, and Socio-economic Factors. KTH Publication Database DiVA (KTH Royal Institute of Technology). 308–311. 9 indexed citations
5.
Trapp, Martin, Robert Peharz, Marcin Skowron, et al.. (2016). Structure Inference in Sum-Product Networks using Infinite Sum-Product Trees. 1 indexed citations
6.
Skowron, Marcin, et al.. (2016). Automatic Identification of Character Types from Film Dialogs.. PubMed. 30(10). 942–973. 5 indexed citations
7.
Ionescu, Bogdan, et al.. (2015). RFA at MediaEval 2015 Affective Impact of Movies Task: A Multimodal Approach. MediaEval. 16 indexed citations
8.
Vall, Andreu, Marcin Skowron, Peter Knees, & Markus Schedl. (2015). Improving Music Recommendations With A Weighted Factorization Of The Tagging Activity.. Zenodo (CERN European Organization for Nuclear Research). 65–71. 5 indexed citations
9.
Sienkiewicz, Julian, et al.. (2013). Entropy growth in emotional online dialogues. Journal of Physics Conference Series. 410. 12096–12096. 2 indexed citations
10.
Skowron, Marcin, et al.. (2013). Affect and Social Processes in Online Communication--Experiments with an Affective Dialog System. IEEE Transactions on Affective Computing. 4(3). 267–279. 20 indexed citations
11.
Garas, Antonios, David García, Marcin Skowron, & Frank Schweitzer. (2012). Emotional persistence in online chatting communities. Repository for Publications and Research Data (ETH Zurich). 64 indexed citations
12.
Gligorijević, Vladimir, Marcin Skowron, & Bosiljka Tadić. (2012). Directed Networks of Online Chats: Content-Based Linking and Social Structure. 72. 725–730. 6 indexed citations
13.
Skowron, Marcin, George Paltoglou, Jung-Hyun Ahn, & Stéphane Gobron. (2011). No peanut! Affective Cues for the Virtual Bartender. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 8 indexed citations
14.
Gobron, Stéphane, Jung-Hyun Ahn, Daniël Thalmann, Marcin Skowron, & Arvid Kappas. (2011). Impact Study of Nonverbal Facial Cues on Spontaneous Chatting with Virtual Humans. ArODES (HES-SO (https://www.hes-so.ch/)). 10(6). 3 indexed citations
15.
Gobron, Stéphane, Jung-Hyun Ahn, Daniel Thalmann, et al.. (2011). An Interdisciplinary VR-architecture for 3D Chatting with Non-verbal Communication. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 4 indexed citations
16.
Skowron, Marcin & Kenji Araki. (2005). Voluntary Contributions of Unaware Internet Users? On Automatic Knowledge Retrieval from the WWW.. National Conference on Artificial Intelligence. 78–83. 1 indexed citations
17.
Ishida, Kenji, et al.. (2005). Three Systems and One Verifier - - HOKUM's Participation in QAC3 of NTCIR-5. NTCIR. 1 indexed citations
18.
Skowron, Marcin & Kenji Araki. (2005). Evaluation of the new feature types for question classi. cation with support vector machines. 2. 1017–1022. 1 indexed citations
19.
Skowron, Marcin & Kenji Araki. (2004). New Features for the Question Classification Using Support Vector Machines. IPSJ SIG Notes. 2004(73). 139–144. 1 indexed citations
20.
Skowron, Marcin. (2003). Natural languages and graphs. 9. 27–43.

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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