Anouk Bergner

558 citations
9 papers · 404 · 1 hit paper · h-index 6

Impact in

Papers in

Anouk Bergner

9 papers receiving 378 citations

Anouk Bergner's Hit Papers

Machine Talk: How Verbal Embodiment in Conversational AI Shapes Consumer–Brand Relationships 2023 · 93 citations
930+1+2Years since publication255075

Peers

Anouk Bergner
Comparison fields: 5 of 47
  • Marketing 92
  • Information Systems and Management 67
  • Health Informatics 8
  • Management Information Systems 57
  • General Decision Sciences 11
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Yuanyuan Cui United States
Erol Pala New Zealand
Elisa Konya-Baumbach Germany
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M. Vimalkumar India
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Xinyu Xing China
Darius‐Aurel Frank Denmark
Meng­meng Song China
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Citations per year

Countries citing papers authored by Anouk Bergner

Since Specialization
Citations

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

Fields of papers citing papers by Anouk Bergner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Anouk Bergner, 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 Anouk Bergner Line = papers co-authored together Anouk Bergner links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2020170
2
Machine Talk: How Verbal Embodiment in Conversational AI Shapes Consumer–Brand Relationships
Hit paper breakdown →
202393
3 202257
4 201942
5 202329
6 20199
7
Machine Talk: How Conversational Chatbots Promote Brand Intimacy and Influence Consumer Choice
20192
8
Detrimental Trust in Automation: How Conversational Robo Advisors Leverage Trust and Mis-calibrated Risk Taking
20191
9
Conversational Interfaces as Persuasion Instruments: Implications for Consumer Choice and Brand Perceptions
20191

About Anouk Bergner

Anouk Bergner is a scholar working on Artificial Intelligence, Sociology and Political Science, Marketing, Information Systems and Cognitive Neuroscience, having authored 9 papers that have together received 404 indexed citations. Recurring topics across this work include AI in Service Interactions (4 papers), Digital Marketing and Social Media (4 papers), Consumer Behavior in Brand Consumption and Identification (2 papers), Consumer Retail Behavior Studies (2 papers), Psychology of Social Influence (1 paper), Sentiment Analysis and Opinion Mining (1 paper), Psychology of Moral and Emotional Judgment (1 paper) and Adversarial Robustness in Machine Learning (1 paper). The work is most often cited by research in Marketing (92 citations), Information Systems and Management (67 citations), Health Informatics (8 citations), Management Information Systems (57 citations) and General Decision Sciences (11 citations). Anouk Bergner has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Christian Hildebrand, Gerald Häubl, Jan Marco Leimeister, Naim Zierau, Jochen Hartmann, Daniel M. Oppenheimer and Greg Detre. Their work appears in journals such as Journal of the Academy of Marketing Science, Cognition, Journal of Consumer Psychology, Journal of Consumer Research and Alexandria (UniSG) (University of St.Gallen).

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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