Markus Strohmaier

6.0k total citations · 2 hit papers
149 papers, 2.8k citations indexed

About

Markus Strohmaier is a scholar working on Artificial Intelligence, Information Systems and Statistical and Nonlinear Physics. According to data from OpenAlex, Markus Strohmaier has authored 149 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Artificial Intelligence, 46 papers in Information Systems and 45 papers in Statistical and Nonlinear Physics. Recurrent topics in Markus Strohmaier's work include Complex Network Analysis Techniques (42 papers), Topic Modeling (24 papers) and Wikis in Education and Collaboration (21 papers). Markus Strohmaier is often cited by papers focused on Complex Network Analysis Techniques (42 papers), Topic Modeling (24 papers) and Wikis in Education and Collaboration (21 papers). Markus Strohmaier collaborates with scholars based in Austria, Germany and United States. Markus Strohmaier's co-authors include Claudia Wagner, Arnim Bleier, Sebastian Stier, Christian Körner, Denis Helić, Haiko Lietz, Philipp Singer, Roman Kern, Mark Kröll and Klaus Tochtermann and has published in prestigious journals such as Nature, Science and SHILAP Revista de lepidopterología.

In The Last Decade

Markus Strohmaier

140 papers receiving 2.6k 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.

Election Campaigning on Social Media: Politicians, Audiences, and the Mediation of Political Communication on Facebook and Twitter

2018 329 citations Markus Strohmaier et al. profile →
Computational social science: Obstacles and opportunities

2020 228 citations Noshir Contractor, Markus Strohmaier et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Markus Strohmaier Austria	25	911	810	755	712	500	149	2.8k
Michael Chau Hong Kong	33	1.1k 1.2×	1.1k 1.4×	1.3k 1.8×	382 0.5×	359 0.7×	155	3.7k
Nicholas Diakopoulos United States	34	2.1k 2.3×	1.5k 1.9×	693 0.9×	1.6k 2.2×	457 0.9×	103	5.0k
Ravi Vatrapu Denmark	25	567 0.6×	489 0.6×	750 1.0×	484 0.7×	224 0.4×	136	2.4k
David R. Millen United States	27	1.3k 1.4×	503 0.6×	828 1.1×	1.2k 1.7×	288 0.6×	98	3.6k
Scott A. Golder United States	11	649 0.7×	746 0.9×	842 1.1×	557 0.8×	577 1.2×	14	2.7k
Brent Hecht United States	28	1.0k 1.1×	600 0.7×	485 0.6×	669 0.9×	273 0.5×	90	3.3k
Daniel M. Romero United States	22	1.1k 1.2×	633 0.8×	663 0.9×	864 1.2×	1.3k 2.7×	63	3.1k
Leslie Carr United Kingdom	28	466 0.5×	723 0.9×	1.7k 2.2×	295 0.4×	201 0.4×	229	3.6k
Jennifer Xu United States	24	764 0.8×	693 0.9×	1.1k 1.4×	179 0.3×	411 0.8×	73	2.4k
Kevan Buckley United Kingdom	13	1.0k 1.1×	1.6k 2.0×	608 0.8×	446 0.6×	547 1.1×	33	3.1k

Countries citing papers authored by Markus Strohmaier

Since Specialization

Citations

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

Fields of papers citing papers by Markus Strohmaier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Strohmaier

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Rogers, Elisa, et al.. (2025). Missing the Margins: A Systematic Literature Review on the Demographic Representativeness of LLMs. ArXiv.org. 24263–24289.

Strohmaier, Markus, et al.. (2025). Similarity of Neural Network Models: A Survey of Functional and Representational Measures. ACM Computing Surveys. 57(9). 1–52. 4 indexed citations

Rogers, Elisa, et al.. (2025). The Prompt Makes the Person(a): A Systematic Evaluation of Sociodemographic Persona Prompting for Large Language Models. 23212–23237. 1 indexed citations

Strohmaier, Markus, et al.. (2023). Toxic comments are associated with reduced activity of volunteer editors on Wikipedia. PNAS Nexus. 2(12). pgad385–pgad385. 2 indexed citations

Oliveira, Marcos, et al.. (2022). Group mixing drives inequality in face-to-face gatherings. Communications Physics. 5(1). 8 indexed citations

Engler, Jan O., et al.. (2022). SensePOLAR: Word sense aware interpretability for pre-trained contextual word embeddings. 4607–4619. 1 indexed citations

Kerz, Elma, et al.. (2021). FANG-COVID: A New Large-Scale Benchmark Dataset for Fake News Detection in German. UvA-DARE (University of Amsterdam). 78–91. 9 indexed citations

Wagner, Claudia, Markus Strohmaier, Alexandra Olteanu, et al.. (2021). Measuring algorithmically infused societies. Nature. 595(7866). 197–204. 62 indexed citations

Lemmerich, Florian, et al.. (2017). JANUS: A hypothesis-driven Bayesian approach for understanding edge formation in attributed multigraphs. Applied Network Science. 2(1). 16–16. 3 indexed citations

10.

Lerman, Kristina, et al.. (2016). How the structure of Wikipedia articles influences user navigation. New Review of Hypermedia and Multimedia. 23(1). 29–50. 20 indexed citations

11.

Singer, Philipp, Denis Helić, Behnam Taraghi, & Markus Strohmaier. (2014). Memory and Structure in Human Navigation Patterns.. arXiv (Cornell University). 8 indexed citations

12.

Doerfel, Stephan, et al.. (2014). Evaluating Assumptions about Social Tagging - A Study of User Behavior in BibSonomy.. MADOC (University of Mannheim). 18–19. 2 indexed citations

13.

Menczer, Filippo, James Hendler, William H. Dutton, et al.. (2014). Proceedings of the 2014 ACM conference on Web science. Web Science. 7 indexed citations

14.

Strohmaier, Markus, et al.. (2014). Characterizing and predicting activity in semantic MediaWiki communities. RWTH Publications (RWTH Aachen). 53–67. 2 indexed citations

15.

Strohmaier, Markus, et al.. (2013). How ontologies are made: Studying the hidden social dynamics behind collaborative ontology engineering projects. Journal of Web Semantics. 20. 18–34. 15 indexed citations

16.

Wagner, Claudia, et al.. (2012). It's Not in Their Tweets: Modeling Topical Expertise of Twitter Users. MADOC (University of Mannheim). 91–100. 47 indexed citations

17.

Strohmaier, Markus, Christian Körner, & Roman Kern. (2012). Understanding why users tag: A survey of tagging motivation literature and results from an empirical study. Journal of Web Semantics. 17(C). 1–11. 28 indexed citations

18.

Stocker, Alexander, Markus Strohmaier, & Klaus Tochtermann. (2008). Studying Knowledge Transfer with Weblogs in Small and Medium Enterprises: An Exploratory Case Study. Scalable Computing Practice and Experience. 9(4). 243–258. 7 indexed citations

19.

Strohmaier, Markus, Peter Prettenhofer, & Mathias Lux. (2008). Different degrees of explicitness in intentional artifacts: studying user goals in a large search query log. 26–35. 5 indexed citations

20.

Stocker, Alexander, et al.. (2008). Stakeholder-Orientierung als Gestaltungsprinzip für Corporate Web 2.0: Eine explorative Analyse. MADOC (University of Mannheim). 579–590. 1 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.

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