Maël Kubli

1.4k total citations · 2 hit papers
11 papers, 669 citations indexed

About

Maël Kubli is a scholar working on Communication, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Maël Kubli has authored 11 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Communication, 6 papers in Sociology and Political Science and 5 papers in Artificial Intelligence. Recurrent topics in Maël Kubli's work include Social Media and Politics (6 papers), Misinformation and Its Impacts (4 papers) and Hate Speech and Cyberbullying Detection (3 papers). Maël Kubli is often cited by papers focused on Social Media and Politics (6 papers), Misinformation and Its Impacts (4 papers) and Hate Speech and Cyberbullying Detection (3 papers). Maël Kubli collaborates with scholars based in Switzerland, Ireland and Iran. Maël Kubli's co-authors include Fabrizio Gilardi, Meysam Alizadeh, Theresa Gessler, Stefan Müller, Nahema Marchal, Clau Dermont, Karsten Donnay, Christian Katzenbach, Felix Hamborg and Lucas Leemann and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Political Communication.

In The Last Decade

Maël Kubli

10 papers receiving 639 citations

Hit Papers

ChatGPT outperforms crowd workers for text-annotatio... 2021 2026 2022 2024 2023 2021 100 200 300 400
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.

  1. ChatGPT outperforms crowd workers for text-annotation tasks
    2023 425 citations Fabrizio Gilardi, Meysam Alizadeh et al. Proceedings of the National Academy of Sciences profile →
  2. Social Media and Political Agenda Setting
    2021 165 citations Fabrizio Gilardi, Theresa Gessler et al. Political Communication profile →

Peers

Maël Kubli
Libby Hemphill United States
Meredith Broussard United States
Michael Koliska United States
Konstantin Dörr Switzerland
Νικόλαος Αλέτρας United Kingdom
Colin Porlezza Switzerland
Daniel Maier Germany
Oliver Posegga Germany
Engin Bozdag Netherlands
P. M. Krafft United States
Libby Hemphill United States
Maël Kubli
Citations per year, relative to Maël Kubli Maël Kubli (= 1×) peers Libby Hemphill

Countries citing papers authored by Maël Kubli

Since Specialization
Citations

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

Fields of papers citing papers by Maël Kubli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maël Kubli

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

All Works

11 of 11 papers shown
1.
Alizadeh, Meysam, et al.. (2024). Open-source LLMs for text annotation: a practical guide for model setting and fine-tuning. Journal of Computational Social Science. 8(1). 17–17. 16 indexed citations
2.
Alizadeh, Meysam, et al.. (2024). Comparing methods for creating a national random sample of twitter users. Social Network Analysis and Mining. 14(1). 160–160.
3.
Marchal, Nahema, et al.. (2024). How Negative Media Coverage Impacts Platform Governance: Evidence from Facebook, Twitter, and YouTube. Political Communication. 42(2). 215–233. 4 indexed citations
4.
Gilardi, Fabrizio, Meysam Alizadeh, & Maël Kubli. (2023). ChatGPT outperforms crowd workers for text-annotation tasks. Proceedings of the National Academy of Sciences. 120(30). e2305016120–e2305016120. 425 indexed citations breakdown →
5.
Alizadeh, Meysam, et al.. (2022). Content Moderation As a Political Issue: The Twitter Discourse Around Trump's Ban. SHILAP Revista de lepidopterología. 2. 19 indexed citations
6.
Gilardi, Fabrizio, Clau Dermont, Karsten Donnay, et al.. (2021). Building Research Infrastructures to Study Digital Technology and Politics: Lessons from Switzerland. PS Political Science & Politics. 55(2). 354–359. 7 indexed citations
7.
Gilardi, Fabrizio, Theresa Gessler, Maël Kubli, & Stefan Müller. (2021). Social Media and Political Agenda Setting. Political Communication. 39(1). 39–60. 165 indexed citations breakdown →
8.
Gilardi, Fabrizio, Theresa Gessler, Maël Kubli, & Stefan Müller. (2021). Issue Ownership and Agenda Setting in the 2019 Swiss National Elections. Swiss Political Science Review. 28(2). 190–208. 13 indexed citations
9.
Gilardi, Fabrizio, Theresa Gessler, Maël Kubli, & Stefan Müller. (2021). Social Media and Policy Responses to the COVID‐19 Pandemic in Switzerland. Swiss Political Science Review. 27(2). 243–256. 16 indexed citations
10.
Gilardi, Fabrizio, et al.. (2020). Der Wahlkampf 2019 in traditionellen und digitalen Medien. Zurich Open Repository and Archive (University of Zurich). 3 indexed citations
11.
Gilardi, Fabrizio, et al.. (2020). Der Wahlkampf 2019 in traditionellen und digitalen Medien: Technischer Bericht. Zurich Open Repository and Archive (University of Zurich). 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.

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