Birte Keller

451 citations
7 papers · 227 · 1 hit paper · h-index 4

Impact in

Papers in

Birte Keller

7 papers receiving 214 citations

Birte Keller's Hit Papers

Fairness perceptions of algorithmic decision-making: A systematic review of the empirical literature 2022 · 110 citations
1100+1+2Years since publication255075100

Peers

Birte Keller
Comparison fields: 5 of 53
  • Health Informatics 44
  • Safety Research 134
  • Computer Science Applications 18
  • Management Information Systems 17
  • Artificial Intelligence 61
Replace Rumman Chowdhury with:
Rumman Chowdhury United States
Kimon Kieslich Germany
Johann Laux United Kingdom
Claudio Novelli Italy
Xavier Ferrer United Kingdom
Michelle Seng Ah Lee United Kingdom
Bogdana Rakova United States
Elettra Bietti United States
Reuben Binns United Kingdom
Emmie Hine Italy
Birte Keller relative to Rumman Chowdhury United States Rumman Chowdhury's profile →
Citations per field
00.5×1.6×
Rumman Chowdhury · 1×
Citations per year

Countries citing papers authored by Birte Keller

Since Specialization
Citations

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

Fields of papers citing papers by Birte Keller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Birte Keller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Birte Keller Line = papers co-authored together Birte Keller links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Fairness perceptions of algorithmic decision-making: A systematic review of the empirical literature
Hit paper breakdown →
2022110
2 202291
3 202410
4 20238
5 20233
6 20213
7 20242

About Birte Keller

Birte Keller is a scholar working on Safety Research, Sociology and Political Science, Health Informatics, Artificial Intelligence and Computer Science Applications, having authored 7 papers that have together received 227 indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (6 papers), Online Learning and Analytics (2 papers), Privacy, Security, and Data Protection (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), Explainable Artificial Intelligence (XAI) (2 papers), Gender, Feminism, and Media (1 paper), Social Media and Politics (1 paper) and Psychology of Moral and Emotional Judgment (1 paper). The work is most often cited by research in Health Informatics (44 citations), Safety Research (134 citations), Computer Science Applications (18 citations), Management Information Systems (17 citations) and Artificial Intelligence (61 citations). Birte Keller has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Christopher Starke, Frank Marcinkowski, Kimon Kieslich, Marco Lünich and Katharina Esau. Their work appears in journals such as Big Data & Society, Technology Knowledge and Learning, Computers and Education Artificial Intelligence, Javnost - The Public and arXiv (Cornell University).

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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