Nicolas Pröllochs

1.6k total citations · 2 hit papers
49 papers, 856 citations indexed

About

Nicolas Pröllochs is a scholar working on Artificial Intelligence, Sociology and Political Science and Communication. According to data from OpenAlex, Nicolas Pröllochs has authored 49 papers receiving a total of 856 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 26 papers in Sociology and Political Science and 15 papers in Communication. Recurrent topics in Nicolas Pröllochs's work include Misinformation and Its Impacts (22 papers), Social Media and Politics (14 papers) and Sentiment Analysis and Opinion Mining (14 papers). Nicolas Pröllochs is often cited by papers focused on Misinformation and Its Impacts (22 papers), Social Media and Politics (14 papers) and Sentiment Analysis and Opinion Mining (14 papers). Nicolas Pröllochs collaborates with scholars based in Germany, Switzerland and United Kingdom. Nicolas Pröllochs's co-authors include Stefan Feuerriegel, Dirk Neumann, Dominik Bär, Bernhard Lutz, Claire Robertson, Jay J. Van Bavel, Philip Pärnamets, Marc T. P. Adam, Michael Tomz and Srijan Kumar and has published in prestigious journals such as PLoS ONE, Scientific Reports and Communications of the ACM.

In The Last Decade

Nicolas Pröllochs

45 papers receiving 757 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.

Negativity drives online news consumption

2023 128 citations Claire Robertson, Nicolas Pröllochs et al. Nature Human Behaviour profile →
Using natural language processing to analyse text data in behavioural science

2025 27 citations Stefan Feuerriegel, Dominik Bär et al. profile →

Peers

Nicolas Pröllochs

SPS

COMMU

SNP

Lian Jian United States

Yaniv Dover Israel

Daniel Gayo-Avello Spain

Eni Mustafaraj United States

Ramnath Balasubramanyan United States

Tanushree Mitra United States

Dezhi Yin United States

Antino Kim United States

Eric M. Schwartz United States

Reema Aswani India

Lian Jian United States

Nicolas Pröllochs

477 ×1.0

SPS

125 ×0.3

298 ×1.4

COMMU

102 ×0.8

77 ×0.9

SNP

Citations per year, relative to Nicolas Pröllochs Nicolas Pröllochs (= 1×) peers Lian Jian

Countries citing papers authored by Nicolas Pröllochs

Since Specialization

Citations

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

Fields of papers citing papers by Nicolas Pröllochs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Pröllochs

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Pröllochs. A scholar is included among the top collaborators of Nicolas Pröllochs 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 Nicolas Pröllochs. Nicolas Pröllochs 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

Pröllochs, Nicolas, et al.. (2026). Engagement with political videos on TikTok during the 2025 German federal election. EPJ Data Science.

Bär, Dominik, Nicolas Pröllochs, & Stefan Feuerriegel. (2025). The role of social media ads for election outcomes: Evidence from the 2021 German election. PNAS Nexus. 4(3). pgaf073–pgaf073.

Pröllochs, Nicolas, et al.. (2025). References to unbiased sources increase the helpfulness of community fact-checks. Scientific Reports. 15(1). 25749–25749. 1 indexed citations

Lenzini, Gabriele, et al.. (2025). Community Fact-Checks Trigger Moral Outrage in Replies to Misleading Posts on Social Media. Open Repository and Bibliography (University of Luxembourg). 1–23. 3 indexed citations

Feuerriegel, Stefan, et al.. (2024). A fused large language model for predicting startup success. European Journal of Operational Research. 322(1). 198–214. 6 indexed citations

Pröllochs, Nicolas, et al.. (2024). Community Notes vs. Snoping: How the Crowd Selects Fact-Checking Targets on Social Media. Proceedings of the International AAAI Conference on Web and Social Media. 18. 1262–1275. 8 indexed citations

Robertson, Claire, et al.. (2023). Negativity drives online news consumption. Nature Human Behaviour. 7(5). 812–822. 128 indexed citations breakdown →

Lutz, Bernhard, Marc T. P. Adam, Stefan Feuerriegel, Nicolas Pröllochs, & Dirk Neumann. (2023). Affective Information Processing of Fake News: Evidence from NeuroIS. SSRN Electronic Journal. 2 indexed citations

Bär, Dominik, et al.. (2023). Russian propaganda on social media during the 2022 invasion of Ukraine. EPJ Data Science. 12(1). 41 indexed citations

10.

Feuerriegel, Stefan, Renée DiResta, Josh A. Goldstein, et al.. (2023). Research can help to tackle AI-generated disinformation. Nature Human Behaviour. 7(11). 1818–1821. 25 indexed citations

11.

Jakubik, Johannes, Michael Vössing, Nicolas Pröllochs, Dominik Bär, & Stefan Feuerriegel. (2023). Online Emotions during the Storming of the U.S. Capitol: Evidence from the Social Media Network Parler. Proceedings of the International AAAI Conference on Web and Social Media. 17. 423–434. 11 indexed citations

12.

Bär, Dominik, Nicolas Pröllochs, & Stefan Feuerriegel. (2023). Finding Qs: Profiling QAnon Supporters on Parler. Proceedings of the International AAAI Conference on Web and Social Media. 17. 34–46. 3 indexed citations

13.

Lutz, Bernhard, Marc T. P. Adam, Stefan Feuerriegel, Nicolas Pröllochs, & Dirk Neumann. (2023). Affective information processing of fake news: evidence from NeuroIS. European Journal of Information Systems. 33(5). 654–673. 15 indexed citations

14.

Pröllochs, Nicolas, et al.. (2022). Hate Speech in the Political Discourse on Social Media: Disparities Across Parties, Gender, and Ethnicity. arXiv (Cornell University). 18 indexed citations

15.

Lutz, Bernhard, Nicolas Pröllochs, & Dirk Neumann. (2022). Are longer reviews always more helpful? Disentangling the interplay between review length and line of argumentation. Journal of Business Research. 144. 888–901. 32 indexed citations

16.

Pröllochs, Nicolas, Dominik Bär, & Stefan Feuerriegel. (2021). Emotions explain differences in the diffusion of true vs. false social media rumors. Scientific Reports. 11(1). 22721–22721. 46 indexed citations

17.

Pröllochs, Nicolas, et al.. (2018). Noise Trader Behavior - A Disaggregated Approach to Understanding News Reception in Financial Markets. Journal of the Association for Information Systems. 1 indexed citations

18.

Pröllochs, Nicolas, Stefan Feuerriegel, & Dirk Neumann. (2018). Statistical inferences for polarity identification in natural language. PLoS ONE. 13(12). e0209323–e0209323. 16 indexed citations

19.

Pröllochs, Nicolas, et al.. (2016). Driven by news tone? Understanding information processing when covariates are unknown: The case of natural gas price movements. Multikonferenz Wirtschaftsinformatik. 1787–1798. 1 indexed citations

20.

Pröllochs, Nicolas, Stefan Feuerriegel, & Dirk Neumann. (2016). Is Human Information Processing Affected by Emotional Content? Understanding The Role of Facts and Emotions in the Stock Market. FreiDok plus (Universitätsbibliothek Freiburg). 4 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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