Daniela Mahl

735 total citations · 1 hit paper
21 papers, 419 citations indexed

About

Daniela Mahl is a scholar working on Sociology and Political Science, Communication and Artificial Intelligence. According to data from OpenAlex, Daniela Mahl has authored 21 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Sociology and Political Science, 10 papers in Communication and 4 papers in Artificial Intelligence. Recurrent topics in Daniela Mahl's work include Climate Change Communication and Perception (8 papers), Misinformation and Its Impacts (6 papers) and Media Studies and Communication (5 papers). Daniela Mahl is often cited by papers focused on Climate Change Communication and Perception (8 papers), Misinformation and Its Impacts (6 papers) and Media Studies and Communication (5 papers). Daniela Mahl collaborates with scholars based in Switzerland, Germany and Denmark. Daniela Mahl's co-authors include Mike S. Schäfer, Valerie Hase, Tobias Keller, Jing Zeng, Lars Guenther, Jagadish Thaker, Michael Brüggemann, Sophia Charlotte Volk, Otfried Jarren and Thaiane Oliveira and has published in prestigious journals such as SHILAP Revista de lepidopterología, Global Environmental Change and New Media & Society.

In The Last Decade

Daniela Mahl

17 papers receiving 393 citations

Hit Papers

Climate change in news media across the globe: An automat... 2021 2026 2022 2024 2021 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniela Mahl Switzerland 8 334 193 62 59 45 21 419
Valerie Hase Germany 10 323 1.0× 254 1.3× 37 0.6× 43 0.7× 48 1.1× 27 472
Niccolò Di Marco Italy 5 228 0.7× 139 0.7× 58 0.9× 26 0.4× 10 0.2× 16 294
Stefanie Walter Germany 9 244 0.7× 196 1.0× 20 0.3× 21 0.4× 15 0.3× 29 373
Won-Ki Moon United States 12 205 0.6× 68 0.4× 63 1.0× 24 0.4× 7 0.2× 30 355
Antal Wozniak United Kingdom 10 267 0.8× 208 1.1× 13 0.2× 41 0.7× 12 0.3× 14 356
Dorothee Arlt Germany 13 376 1.1× 277 1.4× 29 0.5× 102 1.7× 8 0.2× 40 517
Jens Wolling Germany 10 237 0.7× 136 0.7× 11 0.2× 76 1.3× 5 0.1× 44 388
Thomas Colley United Kingdom 9 205 0.6× 68 0.4× 17 0.3× 41 0.7× 7 0.2× 16 317
Ariel Hasell United States 11 384 1.1× 179 0.9× 55 0.9× 63 1.1× 3 0.1× 25 560
Lisa Oswald Germany 8 147 0.4× 83 0.4× 40 0.6× 26 0.4× 4 0.1× 13 277

Countries citing papers authored by Daniela Mahl

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Mahl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Mahl

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Mahl. A scholar is included among the top collaborators of Daniela Mahl 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 Daniela Mahl. Daniela Mahl 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.
Kessler, Sabrina Heike, Daniela Mahl, Mike S. Schäfer, & Sophia Charlotte Volk. (2025). Science Communication in the Age of Artificial Intelligence. Journal of Science Communication. 24(2). 1 indexed citations
2.
Kessler, Sabrina Heike, Daniela Mahl, Mike S. Schäfer, & Sophia Charlotte Volk. (2025). All Eyez on AI: A Roadmap for Science Communication Research in the Age of Artificial Intelligence. Journal of Science Communication. 24(2). 1 indexed citations
3.
Volk, Sophia Charlotte, et al.. (2024). How generative artificial intelligence portrays science: Interviewing ChatGPT from the perspective of different audience segments. Public Understanding of Science. 34(2). 132–153. 7 indexed citations
4.
Mahl, Daniela, et al.. (2024). “We Follow the Disinformation”: Conceptualizing and Analyzing Fact-Checking Cultures Across Countries. The International Journal of Press/Politics. 31(2). 264–290. 6 indexed citations
5.
Mahl, Daniela, Mike S. Schäfer, Silviu Cristian Voinea, et al.. (2024). Impact of AI on public health emergency communication in Europe and Central Asia: A Delphi study. European Journal of Public Health. 34(Supplement_3).
7.
Schäfer, Mike S., et al.. (2023). From “Climate Change” to “Climate Crisis”?. Open access LMU (Ludwid Maxmilian's Universitat Munchen). 13(1). 2 indexed citations
8.
Mahl, Daniela, Jing Zeng, & Mike S. Schäfer. (2023). Conceptualizing platformed conspiracism: Analytical framework and empirical case study of BitChute and Gab. New Media & Society. 26(12). 6938–6957. 6 indexed citations
9.
Hase, Valerie, Daniela Mahl, & Mike S. Schäfer. (2023). The “computational turn”: an “interdisciplinary turn”? A systematic review of text as data approaches in journalism studies. SHILAP Revista de lepidopterología. 2(1). 122–143. 3 indexed citations
10.
Guenther, Lars, et al.. (2023). Framing as a Bridging Concept for Climate Change Communication: A Systematic Review Based on 25 Years of Literature. Communication Research. 51(4). 367–391. 36 indexed citations
11.
Hase, Valerie, Daniela Mahl, & Mike S. Schäfer. (2022). Der „Computational Turn“: ein „interdisziplinärer Turn“? Ein systematischer Überblick zur Nutzung der automatisierten Inhaltsanalyse in der Journalismusforschung. Medien & Kommunikationswissenschaft. 70(1-2). 60–78. 10 indexed citations
12.
Mahl, Daniela, Mike S. Schäfer, & Jing Zeng. (2022). Conspiracy theories in online environments: An interdisciplinary literature review and agenda for future research. New Media & Society. 25(7). 1781–1801. 64 indexed citations
13.
Mahl, Daniela, et al.. (2022). Noise Pollution: A Multi-Step Approach to Assessing the Consequences of (Not) Validating Search Terms on Automated Content Analyses. Digital Journalism. 11(2). 298–320. 13 indexed citations
14.
Mahl, Daniela, Jing Zeng, & Mike S. Schäfer. (2021). From “Nasa Lies” to “Reptilian Eyes”: Mapping Communication About 10 Conspiracy Theories, Their Communities, and Main Propagators on Twitter. Social Media + Society. 7(2). 48 indexed citations
15.
Hase, Valerie, Daniela Mahl, Mike S. Schäfer, & Tobias Keller. (2021). Climate change in news media across the globe: An automated analysis of issue attention and themes in climate change coverage in 10 countries (2006–2018). Global Environmental Change. 70. 102353–102353. 140 indexed citations breakdown →
16.
Mahl, Daniela & Lars Guenther. (2021). Generic frames (Climate and Environment Coverage). HOPE (Hauptbibliothek Open Publishing Environment) (University of Zurich).
17.
Jarren, Otfried & Daniela Mahl. (2020). Öffentlichkeit (Teil 20). Communicatio Socialis. 53(2). 223–229. 1 indexed citations
18.
19.
Mahl, Daniela, et al.. (2020). “We are a Bit Blind About it”: A Qualitative Analysis of Climate Change-Related Perceptions and Communication Across South African Communities. Environmental Communication. 14(6). 802–815. 16 indexed citations
20.
Keller, Tobias, Valerie Hase, Jagadish Thaker, Daniela Mahl, & Mike S. Schäfer. (2019). News Media Coverage of Climate Change in India 1997–2016: Using Automated Content Analysis to Assess Themes and Topics. Environmental Communication. 14(2). 219–235. 61 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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