Uwe Matzat

2.3k total citations · 1 hit paper
58 papers, 1.4k citations indexed

About

Uwe Matzat is a scholar working on Communication, Sociology and Political Science and Education. According to data from OpenAlex, Uwe Matzat has authored 58 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Communication, 22 papers in Sociology and Political Science and 10 papers in Education. Recurrent topics in Uwe Matzat's work include Social Media and Politics (17 papers), Knowledge Management and Sharing (14 papers) and Social Capital and Networks (8 papers). Uwe Matzat is often cited by papers focused on Social Media and Politics (17 papers), Knowledge Management and Sharing (14 papers) and Social Capital and Networks (8 papers). Uwe Matzat collaborates with scholars based in Netherlands, Switzerland and United States. Uwe Matzat's co-authors include Chris Snijders, Ulf‐Dietrich Reips, Rianne Conijn, Ad Kleingeld, Gerrit Rooks, Bert M. Sadowski, Sonja Utz, Emmy Vrieling, Nico W. Van Yperen and Tom A. B. Snijders and has published in prestigious journals such as Computers in Human Behavior, Computers & Education and New Media & Society.

In The Last Decade

Uwe Matzat

55 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Predicting Student Performance from LMS Data: A Comparison of 17 Blended Courses Using Moodle LMS

2016 241 citations Rianne Conijn, Chris Snijders et al. IEEE Transactions on Learning Technologies profile →

Peers

Countries citing papers authored by Uwe Matzat

Since Specialization

Citations

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

Fields of papers citing papers by Uwe Matzat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uwe Matzat

This figure shows the co-authorship network connecting the top 25 collaborators of Uwe Matzat. A scholar is included among the top collaborators of Uwe Matzat 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 Uwe Matzat. Uwe Matzat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	The Impact of Social Support Strategies on Users’ Credibility Perceptions and Continuous Use Intentions of Academic Social Networking Sites. An Empirical Study 2025 ·International Journal of Human-Computer Interaction ·Felix Nti Koranteng, Uwe Matzat, Isaac Wiafe, Jaap Ham	0
2	Sequence analysis and process mining perspectives to goal setting: What distinguishes business students with high and low self-efficacy beliefs? 2024 ·Smart Learning Environments ·(unknown), (unknown), Mohammed Saqr, Jonna Malmberg, Ad Kleingeld, Chris Snijders, Uwe Matzat, Matti Tedre	3
3	Do 21st-century skills make you less lonely? The relation between 21st-century skills, social media usage, and students’ loneliness during the COVID-19 pandemic 2024 ·Heliyon ·(unknown), Chris Snijders, Uwe Matzat, Ad Kleingeld	1
4	Boundary Conditions of Generalizing Predictive Models for Academic Performance: Within Cohort Versus Within Course 2024 ·IEEE Transactions on Learning Technologies ·(unknown), Uwe Matzat, Rianne Conijn	2
5	Unobtrusive measurement of self-regulated learning: A clickstream-based multi-dimensional scale 2023 ·Education and Information Technologies ·(unknown), Chris Snijders, Uwe Matzat, Ad Kleingeld	2
6	Predicting time‐management skills from learning analytics 2023 ·Journal of Computer Assisted Learning ·(unknown), Uwe Matzat	5
7	The effect of an artificial agent's vocal expressiveness on immediacy and learning 2021 ·Journal of Computer Assisted Learning ·(unknown), Uwe Matzat, Jaap Ham, Cees Midden	8
8	The role of usability, aesthetics, usefulness and primary task support in predicting the perceived credibility of academic social networking sites 2021 ·Behaviour and Information Technology ·Felix Nti Koranteng, Jaap Ham, Isaac Wiafe, Uwe Matzat	15
9	Using Tailoring To Increase The Effectiveness Of A Persuasive Game-Based Training For Novel Technologies 2017 ·Zenodo (CERN European Organization for Nuclear Research) ·(unknown), Jaap Ham, (unknown), Uwe Matzat	1
10	An empirical test of stage models of e-government development: Evidence from Dutch municipalities 2017 ·The Information Society ·Gerrit Rooks, Uwe Matzat, Bert M. Sadowski	29
11	Influence of course characteristics, student characteristics, and behavior in learning management systems on student performance 2016 ·TU/e Research Portal ·Rianne Conijn, Ad Kleingeld, Uwe Matzat, Chris Snijders, Menno van Zaanen	2
12	Do blended virtual learning communities enhance teachers' professional development more than purely virtual ones? A large scale empirical comparison 2012 ·Computers & Education ·Uwe Matzat	75
13	Advice in surveying the general public over the internet 2010 ·KOPS (University of Konstanz) ·Don A. Dillman, Ulf‐Dietrich Reips, Uwe Matzat	24
14	Introduction to Multilevel Analysis 2010 ·Tom A. B. Snijders, Nico W. Van Yperen, Uwe Matzat	38
15	On-line Reputation Systems: The Effects of Feedback Comments and Reactions on Building and Rebuilding Trust in On-line Auctions 2009 ·International Journal of Electronic Commerce ·Sonja Utz, Uwe Matzat, Chris Snijders	83
16	Cross-national differences in effects of social embeddedness on trust: A comparative study of German and Dutch business transactions 2009 ·The Social Science Journal ·Gerrit Rooks, Uwe Matzat	4
17	High impact of a start-up journal: Surprisingly so? 2008 ·Zurich Open Repository and Archive (University of Zurich) ·Ulf‐Dietrich Reips, Uwe Matzat	2
18	Web 2.0, Internet 2.1? 2007 ·Zurich Open Repository and Archive (University of Zurich) ·Ulf‐Dietrich Reips, Uwe Matzat	0
19	The Social Embeddedness of Academic Online Groups in Offline Networks as a Norm Generating Structure: An Empirical Test of the Coleman Model on Norm Emergence 2004 ·Computational and Mathematical Organization Theory ·Uwe Matzat	13
20	Social networks and cooperation in electronic communities : a theoretical-empirical analysis of academic communication and Internet discussion groups 2001 ·Data Archiving and Networked Services (DANS) ·Uwe Matzat	23

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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