Arnim Bleier

1.1k total citations · 1 hit paper
10 papers, 472 citations indexed

About

Arnim Bleier is a scholar working on Artificial Intelligence, Communication and Information Systems. According to data from OpenAlex, Arnim Bleier has authored 10 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Communication and 3 papers in Information Systems. Recurrent topics in Arnim Bleier's work include Social Media and Politics (4 papers), Computational and Text Analysis Methods (2 papers) and Semantic Web and Ontologies (2 papers). Arnim Bleier is often cited by papers focused on Social Media and Politics (4 papers), Computational and Text Analysis Methods (2 papers) and Semantic Web and Ontologies (2 papers). Arnim Bleier collaborates with scholars based in Germany, Austria and Russia. Arnim Bleier's co-authors include Markus Strohmaier, Sebastian Stier, Haiko Lietz, Fabian Flöck, Daniel Danner, Clemens M. Lechner, Sergej Sizov, Peter Mutschke, Harith Alani and Stephen Taylor and has published in prestigious journals such as Information Communication & Society, Political Communication and EPJ Data Science.

In The Last Decade

Arnim Bleier

9 papers receiving 448 citations

Hit Papers

Election Campaigning on Social Media: Politicians, Audien... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arnim Bleier Germany 5 312 213 194 100 33 10 472
Bente Kalsnes Norway 12 484 1.6× 286 1.3× 148 0.8× 109 1.1× 37 1.1× 26 642
Márton Bene Hungary 11 410 1.3× 229 1.1× 194 1.0× 85 0.8× 24 0.7× 39 538
Bruce Etling United States 12 418 1.3× 382 1.8× 143 0.7× 118 1.2× 82 2.5× 16 650
Saif Shahin United States 12 243 0.8× 228 1.1× 88 0.5× 68 0.7× 28 0.8× 34 419
Bethany Anne Conway United States 6 368 1.2× 226 1.1× 108 0.6× 97 1.0× 51 1.5× 9 470
Melanie Magin Norway 11 374 1.2× 236 1.1× 144 0.7× 72 0.7× 18 0.5× 44 524
Young Mie Kim United States 11 316 1.0× 250 1.2× 150 0.8× 36 0.4× 29 0.9× 23 454
Tamara A. Small Canada 9 381 1.2× 218 1.0× 133 0.7× 92 0.9× 50 1.5× 22 567
Meital Balmas Israel 8 354 1.1× 384 1.8× 190 1.0× 103 1.0× 25 0.8× 18 689
John H. Parmelee United States 10 549 1.8× 312 1.5× 125 0.6× 66 0.7× 81 2.5× 22 691

Countries citing papers authored by Arnim Bleier

Since Specialization
Citations

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

Fields of papers citing papers by Arnim Bleier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arnim Bleier

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

All Works

10 of 10 papers shown
1.
Schoch, David, Chung‐hong Chan, Claudia Wagner, & Arnim Bleier. (2024). Computational reproducibility in computational social science. EPJ Data Science. 13(1). 1 indexed citations
2.
Bleier, Arnim, et al.. (2023). PADME-SoSci: A Platform for Analytics and Distributed Machine Learning for the Social Sciences. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 251–252. 1 indexed citations
3.
Bleier, Arnim, et al.. (2022). Characterizing the Global Crowd Workforce: A Cross-Country Comparison of Crowdworker Demographics. arXiv (Cornell University). 9(1). 22–57. 7 indexed citations
4.
Bleier, Arnim, et al.. (2019). Measuring Motivations of Crowdworkers. 2(2). 1–34. 20 indexed citations
5.
Stier, Sebastian, Arnim Bleier, Haiko Lietz, & Markus Strohmaier. (2018). Election Campaigning on Social Media: Politicians, Audiences, and the Mediation of Political Communication on Facebook and Twitter. Political Communication. 35(1). 50–74. 329 indexed citations breakdown →
6.
Stier, Sebastian, Arnim Bleier, Mahdi Bohlouli, et al.. (2018). Monitoring sozialer Medien im Bundestagswahlkampf 2017. GESIS Data Archive. 2 indexed citations
7.
Stier, Sebastian, et al.. (2017). When populists become popular: comparing Facebook use by the right-wing movement Pegida and German political parties. Information Communication & Society. 20(9). 1365–1388. 101 indexed citations
8.
Schaer, Philipp, et al.. (2015). A System for Probabilistic Linking of Thesauri and Classification Systems. KI - Künstliche Intelligenz. 30(2). 193–196.
9.
Taylor, Stephen, et al.. (2012). Engaging Politicians with Citizens on Social Networking Sites. International Journal of Electronic Government Research. 8(3). 22–32. 10 indexed citations
10.
Bleier, Arnim, et al.. (2009). Enhancing customer relationship management using enterprise information integration with topic maps. 151–155. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026