Ute Schaedel

1.1k citations
4 papers · 783 · 1 hit paper · h-index 3

Impact in

Papers in

Ute Schaedel

4 papers receiving 742 citations

Ute Schaedel's Hit Papers

An Experimental Study of the Relationship between Online Engagement and Advertising Effectiveness 2009 · 736 citations
7360+5+11Years since publication200400600

Peers

Ute Schaedel
Comparison fields: 5 of 63
  • Marketing 381
  • Information Systems and Management 281
  • Organizational Behavior and Human Resource Management 203
  • Communication 106
  • Sociology and Political Science 647
Replace Gangseog Ryu with:
Gangseog Ryu South Korea
Hanjun Ko United States
Fernando R. Jiménez United States
Tien Wang Taiwan
Jordan W. Moffett United States
Nathalia Purnawirawan Belgium
Anne Mollen Germany
Jihye Kim United States
Georgiana Crăciun United States
Samira Farivar Canada
Ute Schaedel relative to Gangseog Ryu South Korea Gangseog Ryu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ute Schaedel

Since Specialization
Citations

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

Fields of papers citing papers by Ute Schaedel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 4 scholars most cited alongside Ute Schaedel, 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 Ute Schaedel Line = papers co-authored together Ute Schaedel links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1
An Experimental Study of the Relationship between Online Engagement and Advertising Effectiveness
Hit paper breakdown →
2009736
2 201029
3 201017
4 20081

About Ute Schaedel

Ute Schaedel is a scholar working on Sociology and Political Science, Communication, Information Systems and Management, Strategy and Management and Marketing, having authored 4 papers that have together received 783 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (3 papers), Knowledge Management and Sharing (2 papers), Technology Adoption and User Behaviour (2 papers), Digital Platforms and Economics (1 paper), Digital Innovation in Industries (1 paper), Consumer Behavior in Brand Consumption and Identification (1 paper), ICT Impact and Policies (1 paper) and Open Source Software Innovations (1 paper). The work is most often cited by research in Marketing (381 citations), Information Systems and Management (281 citations), Organizational Behavior and Human Resource Management (203 citations), Communication (106 citations) and Sociology and Political Science (647 citations). Ute Schaedel has collaborated with scholars based in Germany and United States. Frequent co-authors include Bobby J. Calder, Edward C. Malthouse, Michel Clément and Jan U. Becker. Their work appears in journals such as Journal of Interactive Marketing, Journal of Media Business Studies, Journal of Media Economics and WIRTSCHAFTSINFORMATIK.

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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