Léa Steinacker
Impact in
- Safety Research top 5%
- Ethics and Social Impacts of AI
- Gender Studies top 10%
- Gender, Security, and Conflict
Papers in
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- Ethics and Social Impacts of AI 3
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- Computational and Text Analysis Methods 2
- Co-authors
- Miriam Meckel (12 shared papers)Genia Kostka (3 shared papers)Jan Marco Leimeister (1 shared paper)Christian Dremel (1 shared paper)Roman Rietsche (1 shared paper)Samuel J. Bosch (1 shared paper)Jo Spangaro (1 shared paper)Geetha Ranmuthugala (1 shared paper)
- Journals
- Public Understanding of Science (1 paper)Electronic Markets (1 paper)Government Information Quarterly (1 paper)PLoS ONE (1 paper)Journal of the Association for Information Systems (1 paper)
- Partner nations
- SwitzerlandGermanyNorway
In The Last Decade
Léa Steinacker
11 papers receiving 269 citations
Peers
Comparison fields: 5 of 62
- Safety Research 61
- Gender Studies 41
- Health 19
- Information Systems and Management 17
- Law 27
Countries citing papers authored by Léa Steinacker
This map shows the geographic impact of Léa Steinacker'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 Léa Steinacker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Léa Steinacker more than expected).
Fields of papers citing papers by Léa Steinacker
This network shows the impact of papers produced by Léa Steinacker. 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 Léa Steinacker. The network helps show where Léa Steinacker may publish in the future.
Co-authors
The 11 scholars most cited alongside Léa Steinacker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 117 | |
| 2 | 2022 | 76 | |
| 3 | 2013 | 62 | |
| 4 | 2022 | 36 | |
| 5 | 2021 | 4 | |
| 6 | 2020 | 2 | |
| 7 | 2021 | 2 | |
| 8 | 2022 | 2 | |
| 9 | 2021 | 1 | |
| 10 | 2021 | 1 | |
| 11 | 2021 | 1 | |
| 12 | 2022 | 1 | |
| 13 | 2025 | 0 | |
| 14 | 2025 | 0 |
About Léa Steinacker
Léa Steinacker is a scholar working on Safety Research, General Social Sciences, Sociology and Political Science, Signal Processing and Information Systems and Management, having authored 14 papers that have together received 305 indexed citations. Recurring topics across this work include Misinformation and Its Impacts (5 papers), Ethics and Social Impacts of AI (3 papers), Scientific Research and Philosophical Inquiry (2 papers), Biometric Identification and Security (2 papers), Privacy, Security, and Data Protection (2 papers), Computational and Text Analysis Methods (2 papers), E-Government and Public Services (1 paper) and Gender, Security, and Conflict (1 paper). The work is most often cited by research in Safety Research (61 citations), Gender Studies (41 citations), Health (19 citations), Information Systems and Management (17 citations) and Law (27 citations). Léa Steinacker has collaborated with scholars based in Switzerland, Germany and Norway. Frequent co-authors include Miriam Meckel, Genia Kostka, Jan Marco Leimeister, Christian Dremel, Roman Rietsche, Samuel J. Bosch, Jo Spangaro, Geetha Ranmuthugala, Anthony B. Zwi and Gawaine Powell Davies. Their work appears in journals such as Public Understanding of Science, Electronic Markets, Government Information Quarterly, PLoS ONE and Journal of the Association for Information Systems.
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.