Countries citing papers authored by Matthias Trier
Since
Specialization
Citations
This map shows the geographic impact of Matthias Trier'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 Matthias Trier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Trier more than expected).
This network shows the impact of papers produced by Matthias Trier. 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 Matthias Trier. The network helps show where Matthias Trier may publish in the future.
Co-authorship network of co-authors of Matthias Trier
This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Trier.
A scholar is included among the top collaborators of Matthias Trier 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 Matthias Trier. Matthias Trier is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Trier, Matthias, Dennis Kundisch, Daniel Beverungen, et al.. (2023). Digital Responsibility. Business & Information Systems Engineering. 65(4). 463–474.27 indexed citations
4.
Trier, Matthias, et al.. (2023). Similar Affordances, Different Use Practices? An Investigation of Socio-Cultural Contexts in Facebook, Instagram and Twitter. Journal of the Association for Information Systems.
Trier, Matthias, et al.. (2017). UNCERTAINTIES AS BARRIERS FOR KNOWLEDGE SHARING WITH ENTERPRISE SOCIAL MEDIA. Journal of the Association for Information Systems. 1619–1630.9 indexed citations
Wagner, David T., Alexander Richter, Matthias Trier, & Heinz‐Theo Wagner. (2014). Towards a Conceptualization of Online Community Health. Journal of the Association for Information Systems.7 indexed citations
9.
Trier, Matthias. (2014). Towards a Social Network Intelligence Tool for visual Analysis of Virtual Communication Networks. Qucosa (Saxon State and University Library Dresden). 331–342.3 indexed citations
Trier, Matthias, et al.. (2013). Influence And Dissemination Of Sentiments In Social Network Communication Patterns. Journal of the Association for Information Systems. 52.8 indexed citations
12.
Sjöklint, Mimmi, Ioanna Constantiou, & Matthias Trier. (2013). Numerical Representations and User Behaviour in Social Networking Sites: Towards a Multi- Theoretical Research Framework. CBS Research Portal (Copenhagen Business School). 144.9 indexed citations
13.
Trier, Matthias, et al.. (2013). Interoperability of Web Archives and Digital Libraries: A Delphi Study. 19–28.1 indexed citations
Trier, Matthias, et al.. (2012). Sentiment Polarization and Balance among Users in Online Social Networks. Journal of the Association for Information Systems.8 indexed citations
16.
Trier, Matthias, et al.. (2012). THE BLOGOSPHERE AS ŒUVRE: INDIVIDUAL AND COLLECTIVE INFLUENCES ON BLOGGERS. European Conference on Information Systems. 110.1 indexed citations
17.
Gkotsis, George, et al.. (2012). Blogs as Objects of Preservation: Advancing the Discussion on Significant Properties. Warwick Research Archive Portal (University of Warwick).2 indexed citations
18.
Richter, Alexander, et al.. (2011). Anwendungsszenarien als Werkzeug zur (V)Ermittlung des Nutzens von Corporate Social Software. Journal of the Association for Information Systems. 5.10 indexed citations
19.
Trier, Matthias, et al.. (2009). Content-based Community Detection in Social Corpora.. WIRTSCHAFTSINFORMATIK. 295–304.2 indexed citations
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.