Björn Roß

2.6k total citations · 2 hit papers
47 papers, 1.3k citations indexed

About

Björn Roß is a scholar working on Sociology and Political Science, Artificial Intelligence and Communication. According to data from OpenAlex, Björn Roß has authored 47 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Sociology and Political Science, 19 papers in Artificial Intelligence and 18 papers in Communication. Recurrent topics in Björn Roß's work include Social Media and Politics (12 papers), Misinformation and Its Impacts (11 papers) and Hate Speech and Cyberbullying Detection (11 papers). Björn Roß is often cited by papers focused on Social Media and Politics (12 papers), Misinformation and Its Impacts (11 papers) and Hate Speech and Cyberbullying Detection (11 papers). Björn Roß collaborates with scholars based in Germany, United Kingdom and Australia. Björn Roß's co-authors include Stefan Stieglitz, Milad Mirbabaie, Christoph Neuberger, Roberto Navigli, Simone Conia, Benjamin Cabrera, Florian Brachten, Felix Brünker, German Neubaum and Nicholas Frick and has published in prestigious journals such as International Journal of Information Management, Journal of the Association for Information Systems and European Journal of Information Systems.

In The Last Decade

Björn Roß

42 papers receiving 1.2k citations

Hit Papers

Social media analytics – Challenges in topic discovery, d... 2017 2026 2020 2023 2017 2023 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Björn Roß Germany 15 556 530 302 246 142 47 1.3k
Tanushree Mitra United States 18 677 1.2× 441 0.8× 232 0.8× 278 1.1× 88 0.6× 40 1.1k
Ko Kuwabara United States 13 1.0k 1.9× 464 0.9× 198 0.7× 510 2.1× 144 1.0× 21 2.0k
Uwe Matzat Netherlands 21 410 0.7× 171 0.3× 268 0.9× 232 0.9× 51 0.4× 58 1.4k
Christoph Neuberger Germany 14 678 1.2× 282 0.5× 592 2.0× 157 0.6× 154 1.1× 61 1.3k
Haiyi Zhu United States 24 541 1.0× 537 1.0× 425 1.4× 266 1.1× 84 0.6× 84 1.8k
Amy X. Zhang United States 18 451 0.8× 501 0.9× 355 1.2× 254 1.0× 60 0.4× 79 1.2k
Christoph Riedl United States 17 346 0.6× 141 0.3× 228 0.8× 220 0.9× 72 0.5× 64 1.4k
Justin Cheng United States 21 428 0.8× 391 0.7× 242 0.8× 296 1.2× 215 1.5× 44 1.5k
Dan Frankowski United States 15 479 0.9× 351 0.7× 650 2.2× 544 2.2× 140 1.0× 20 1.8k
Ashton Anderson Canada 16 541 1.0× 564 1.1× 357 1.2× 571 2.3× 438 3.1× 47 1.9k

Countries citing papers authored by Björn Roß

Since Specialization
Citations

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

Fields of papers citing papers by Björn Roß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Björn Roß

This figure shows the co-authorship network connecting the top 25 collaborators of Björn Roß. A scholar is included among the top collaborators of Björn Roß 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 Björn Roß. Björn Roß 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.
Neves, Leonardo, Neil Shah, Maarten W. Bos, et al.. (2024). Explainability and Hate Speech: Structured Explanations Make Social Media Moderators Faster. 398–408. 2 indexed citations
2.
Roß, Björn, et al.. (2023). Rumour Detection in the Wild: A Browser Extension for Twitter. Edinburgh Research Explorer (University of Edinburgh). 130–140.
3.
Roß, Björn, et al.. (2023). Stereotypes and Smut: The (Mis)representation of Non-cisgender Identities by Text-to-Image Models. 7919–7942. 12 indexed citations
4.
Roß, Björn, et al.. (2023). Temporal Generalizability in Multimodal Misinformation Detection. Edinburgh Research Explorer (University of Edinburgh). 76–88. 2 indexed citations
5.
Roß, Björn, et al.. (2023). Cross-lingual Transfer Can Worsen Bias in Sentiment Analysis. Edinburgh Research Explorer. 5691–5704. 1 indexed citations
6.
Bäumer, Christian, et al.. (2023). Development of a smartphone virtual reality game to support the radiation therapy of children and adolescents in proton centers. Frontiers in Pediatrics. 11. 1163022–1163022. 2 indexed citations
7.
Stieglitz, Stefan, et al.. (2023). Recommendations for managing AI-driven change processes: when expectations meet reality. International Journal of Management Practice. 16(4). 407–433. 2 indexed citations
8.
Roß, Björn, et al.. (2023). Potential Pitfalls With Automatic Sentiment Analysis: The Example of Queerphobic Bias. Social Science Computer Review. 41(6). 2211–2229. 5 indexed citations
9.
Roß, Björn, et al.. (2022). A Robust Bias Mitigation Procedure Based on the Stereotype Content Model. 207–217. 7 indexed citations
10.
Roß, Björn, et al.. (2022). Explainable Abuse Detection as Intent Classification and Slot Filling. Transactions of the Association for Computational Linguistics. 10. 1440–1454. 2 indexed citations
11.
Stieglitz, Stefan, Lennart Hofeditz, Felix Brünker, et al.. (2022). Design principles for conversational agents to support Emergency Management Agencies. International Journal of Information Management. 63. 102469–102469. 33 indexed citations
12.
Shahi, Gautam Kishore, et al.. (2021). The Networked Context of COVID-19 Misinformation: Informational Homogeneity on YouTube at the Beginning of the Pandemic. PubMed. 26. 100164–100164. 9 indexed citations
13.
Assenmacher, Dennis, Mike Preuß, André Calero Valdez, et al.. (2021). Benchmarking Crisis in Social Media Analytics: A Solution for the Data-Sharing Problem. Social Science Computer Review. 40(6). 1496–1522. 16 indexed citations
14.
Frick, Nicholas, Felix Brünker, Björn Roß, & Stefan Stieglitz. (2021). Comparison of disclosure/concealment of medical information given to conversational agents or to physicians. Health Informatics Journal. 27(1). 1837630317–1837630317. 11 indexed citations
15.
Winter, Stephan, German Neubaum, Stefan Stieglitz, & Björn Roß. (2020). #Opinionleaders: a comparison of self-reported and observable influence of Twitter users. Information Communication & Society. 24(11). 1533–1550. 4 indexed citations
16.
Neubaum, German, et al.. (2020). Opinion-based Homogeneity on YouTube. Edinburgh Research Explorer (University of Edinburgh). 2(1). 81–108. 14 indexed citations
17.
Mirbabaie, Milad, et al.. (2018). Information Diffusion between Twitter and Online Media. Journal of the Association for Information Systems. 3 indexed citations
18.
Roß, Björn, Florian Brachten, Stefan Stieglitz, et al.. (2018). Social bots in a commercial context - A case study on SoundCloud. Journal of the Association for Information Systems. 5 indexed citations
19.
Chakraborty, Narayan Ranjan, et al.. (2018). Social Media Analysis in Crisis Situations: Can Social Media be a Reliable Information Source for Emergency Management Services?. International Conference on Information Systems. 10 indexed citations
20.
Roß, Björn, et al.. (2018). Fake News on Social Media: The (In)Effectiveness of Warning Messages. Journal of the Association for Information Systems. 16. 20 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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