Maurice Jakesch

876 total citations · 1 hit paper
10 papers, 371 citations indexed

About

Maurice Jakesch is a scholar working on Sociology and Political Science, Artificial Intelligence and Safety Research. According to data from OpenAlex, Maurice Jakesch has authored 10 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Sociology and Political Science, 5 papers in Artificial Intelligence and 3 papers in Safety Research. Recurrent topics in Maurice Jakesch's work include Ethics and Social Impacts of AI (3 papers), Social Media and Politics (2 papers) and Social and Intergroup Psychology (2 papers). Maurice Jakesch is often cited by papers focused on Ethics and Social Impacts of AI (3 papers), Social Media and Politics (2 papers) and Social and Intergroup Psychology (2 papers). Maurice Jakesch collaborates with scholars based in United States, Germany and France. Maurice Jakesch's co-authors include Mor Naaman, Jeffrey T. Hancock, Megan French, Xiao Ma, Alexandra Olteanu, Saleema Amershi, Zana Buçinca, Dean Eckles, Kiran Garimella and Sarah Kreps and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Science Advances and British Journal of Psychology.

In The Last Decade

Maurice Jakesch

9 papers receiving 362 citations

Hit Papers

Human heuristics for AI-generated language are flawed 2023 2026 2024 2025 2023 40 80 120

Peers

Maurice Jakesch
Comparison fields: 5 of 64
  • Artificial Intelligence 178
  • Sociology and Political Science 140
  • Safety Research 113
  • Health Informatics 54
  • Communication 49
Replace Janghee Cho with:
Janghee Cho United States
Megan French United States
Pratyusha Kalluri United States
Mark Díaz United States
Daniel Susser United States
Hao-Fei Cheng United States
Marco Lünich Germany
Rhianne Jones United Kingdom
Christopher Rytting United States
Styliani Kleanthous Cyprus
Janghee Cho United States View profile →
Citations per field, relative to Maurice Jakesch
Maurice Jakesch · 1×
Citations per year, relative to Maurice Jakesch
Maurice Jakesch · 1×

Countries citing papers authored by Maurice Jakesch

Since Specialization
Citations

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

Fields of papers citing papers by Maurice Jakesch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maurice Jakesch

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

All Works

10 of 10 papers shown
# Work Indexed citations
1 0
2 1
3 4
4 9
5 11
6
Human heuristics for AI-generated language are flawed breakdown →
134
7 59
8 20
9 109
10 24

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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