Stefan Feuerriegel

7.8k total citations · 4 hit papers
172 papers, 4.0k citations indexed

About

Stefan Feuerriegel is a scholar working on Artificial Intelligence, Sociology and Political Science and Economics and Econometrics. According to data from OpenAlex, Stefan Feuerriegel has authored 172 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Artificial Intelligence, 28 papers in Sociology and Political Science and 28 papers in Economics and Econometrics. Recurrent topics in Stefan Feuerriegel's work include Topic Modeling (17 papers), Misinformation and Its Impacts (17 papers) and Sentiment Analysis and Opinion Mining (16 papers). Stefan Feuerriegel is often cited by papers focused on Topic Modeling (17 papers), Misinformation and Its Impacts (17 papers) and Sentiment Analysis and Opinion Mining (16 papers). Stefan Feuerriegel collaborates with scholars based in Germany, Switzerland and United States. Stefan Feuerriegel's co-authors include Mathias Kraus, Dirk Neumann, Nicolas Pröllochs, Jochen Hartmann, Patrick Zschech, Christian Janiesch, Helmut Prendinger, Bernhard Kratzwald, Kerstin Noëlle Vokinger and Aaron S. Kesselheim and has published in prestigious journals such as Nature Medicine, Nature Communications and Academy of Management Journal.

In The Last Decade

Stefan Feuerriegel

163 papers receiving 3.8k 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.

Generative AI

2023 444 citations Stefan Feuerriegel, Jochen Hartmann et al. Business & Information Systems Engineering profile →
Negativity drives online news consumption

2023 128 citations Claire Robertson, Nicolas Pröllochs et al. Nature Human Behaviour profile →
Causal machine learning for predicting treatment outcomes

2024 95 citations Stefan Feuerriegel et al. profile →
Using natural language processing to analyse text data in behavioural science

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

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stefan Feuerriegel Germany	30	1.2k	617	545	368	355	172	4.0k
Oliver Hinz Germany	36	939 0.8×	1.5k 2.4×	548 1.0×	364 1.0×	1.1k 3.1×	165	4.5k
Francesca Rossi Italy	25	1.8k 1.5×	284 0.5×	565 1.0×	416 1.1×	441 1.2×	183	4.0k
Paulo Cortez Portugal	35	2.5k 2.0×	449 0.7×	863 1.6×	359 1.0×	731 2.1×	185	6.2k
Virginia Dignum Netherlands	25	1.9k 1.5×	967 1.6×	410 0.8×	380 1.0×	748 2.1×	201	6.0k
Dino Pedreschi Italy	43	4.1k 3.3×	675 1.1×	391 0.7×	353 1.0×	1.1k 3.0×	204	9.1k
Emmanuel Sirimal Silva United Kingdom	24	434 0.4×	401 0.6×	498 0.9×	333 0.9×	378 1.1×	67	2.4k
Shuai Ding China	33	706 0.6×	512 0.8×	262 0.5×	223 0.6×	786 2.2×	138	3.3k
Junaid Qadir Pakistan	45	2.2k 1.8×	420 0.7×	302 0.6×	85 0.2×	952 2.7×	237	7.6k
Philip Treleaven United Kingdom	28	760 0.6×	284 0.5×	265 0.5×	241 0.7×	683 1.9×	109	3.2k
Theodoros Evgeniou France	30	2.5k 2.0×	154 0.2×	450 0.8×	434 1.2×	197 0.6×	73	5.7k

Countries citing papers authored by Stefan Feuerriegel

Since Specialization

Citations

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

Fields of papers citing papers by Stefan Feuerriegel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Feuerriegel

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

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.

Kraus, Mathias, Stefan Feuerriegel, Felix Wortmann, et al.. (2024). Multimodal In-Vehicle Hypoglycemia Warning for Drivers With Type 1 Diabetes: Design and Evaluation in Simulated and Real-World Driving. JMIR Human Factors. 11. e46967–e46967. 1 indexed citations

Probst, Benedict, et al.. (2024). Machine Learning Can Help Track Climate Technology Innovation. SSRN Electronic Journal. 1 indexed citations

Feuerriegel, Stefan, et al.. (2024). Causal Machine Learning for Cost-Effective Allocation of Development Aid. 5283–5294.

Bär, Dominik, Francesco Pierri, Gianmarco De Francisci Morales, & Stefan Feuerriegel. (2024). Systematic discrepancies in the delivery of political ads on Facebook and Instagram. PNAS Nexus. 3(7). pgae247–pgae247. 7 indexed citations

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

Feuerriegel, Stefan, et al.. (2023). Estimating Average Causal Effects from Patient Trajectories. Proceedings of the AAAI Conference on Artificial Intelligence. 37(6). 7586–7594. 7 indexed citations

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

Feuerriegel, Stefan, Jochen Hartmann, Christian Janiesch, & Patrick Zschech. (2023). Generative AI. Business & Information Systems Engineering. 66(1). 111–126. 444 indexed citations breakdown →

10.

Banholzer, Nicolas, Thomas Zueger, Federico Y. Fontana, et al.. (2023). Glycaemic patterns of male professional athletes with type 1 diabetes during exercise, recovery and sleep: Retrospective, observational study over an entire competitive season. Diabetes Obesity and Metabolism. 25(9). 2616–2625. 5 indexed citations

11.

Zueger, Thomas, et al.. (2022). Machine Learning for Predicting the Risk of Transition from Prediabetes to Diabetes. Diabetes Technology & Therapeutics. 24(11). 842–847. 13 indexed citations

12.

Banholzer, Nicolas, Adrian Lison, Dennis Özcelik, et al.. (2022). The methodologies to assess the effects of non-pharmaceutical interventions during COVID-19: a systematic review. medRxiv. 5 indexed citations

13.

Lison, Adrian, et al.. (2022). Estimating the effect of mobility on SARS-CoV-2 transmission during the first and second wave of the COVID-19 epidemic, Switzerland, March to December 2020. Eurosurveillance. 27(10). 13 indexed citations

14.

Herzig, David, Jasmin Meier, Nicolas Banholzer, et al.. (2021). The impact of postbariatric hypoglycaemia on driving performance: A randomized, single‐blind, two‐period, crossover study in a driving simulator. Diabetes Obesity and Metabolism. 23(9). 2189–2193. 6 indexed citations

15.

Banholzer, Nicolas, David Herzig, Christos T. Nakas, et al.. (2020). Effect of nutrition on postprandial glucose control in hospitalized patients with type 2 diabetes receiving fully automated closed‐loop insulin therapy. Diabetes Obesity and Metabolism. 23(1). 234–239. 4 indexed citations

16.

Feuerriegel, Stefan, et al.. (2017). Understanding Consumer Behavior in Electronic Commerce with Image Sentiment. Journal of the Association for Information Systems. 1264–1266. 1 indexed citations

17.

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

18.

Feuerriegel, Stefan, et al.. (2014). Long- and short-term impact of news messages on house prices: A comparative study of Spain and the United States. Journal of the Association for Information Systems. 5 indexed citations

19.

Brandt, Tobias, Stefan Feuerriegel, & Dirk Neumann. (2013). A Household-Oriented Approach to The Benefits of Vehicle-To-Grid-Capable Electric Vehicles. Journal of the Association for Information Systems. 1667–1681. 3 indexed citations

20.

Feuerriegel, Stefan, Jens Strüker, & Dirk Neumann. (2012). Reducing price uncertainty through demand side management. Journal of the Association for Information Systems. 21 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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