Christina Schamp

1.0k total citations · 2 hit papers
10 papers, 659 citations indexed

About

Christina Schamp is a scholar working on Marketing, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Christina Schamp has authored 10 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Marketing, 4 papers in Artificial Intelligence and 3 papers in Sociology and Political Science. Recurrent topics in Christina Schamp's work include Consumer Behavior in Brand Consumption and Identification (6 papers), Digital Marketing and Social Media (3 papers) and Sentiment Analysis and Opinion Mining (3 papers). Christina Schamp is often cited by papers focused on Consumer Behavior in Brand Consumption and Identification (6 papers), Digital Marketing and Social Media (3 papers) and Sentiment Analysis and Opinion Mining (3 papers). Christina Schamp collaborates with scholars based in Germany, Austria and Netherlands. Christina Schamp's co-authors include Mark Heitmann, Jochen Hartmann, Oded Netzer, Tammo H.A. Bijmolt, Peter S. H. Leeflang and Dennis Herhausen and has published in prestigious journals such as Journal of Marketing Research, Journal of the Academy of Marketing Science and International Journal of Research in Marketing.

In The Last Decade

Christina Schamp

10 papers receiving 615 citations

Hit Papers

Comparing automated text classification methods 2018 2026 2020 2023 2018 2022 50 100 150 200 250

Peers

Christina Schamp
Comparison fields: 5 of 87
  • Artificial Intelligence 284
  • Sociology and Political Science 280
  • Marketing 209
  • Information Systems 94
  • Information Systems and Management 45
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Citations per field, relative to Christina Schamp
Christina Schamp · 1×
Citations per year, relative to Christina Schamp
Christina Schamp · 1×

Countries citing papers authored by Christina Schamp

Since Specialization
Citations

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

Fields of papers citing papers by Christina Schamp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christina Schamp

This figure shows the co-authorship network connecting the top 25 collaborators of Christina Schamp. A scholar is included among the top collaborators of Christina Schamp 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 Christina Schamp. Christina Schamp 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 1
2 8
3
More than a Feeling: Accuracy and Application of Sentiment Analysis breakdown →
158
4 45
5 100
6
The Power of Brand Selfies in Consumer-Generated Brand Images
2
7 13
8 48
9 12
10
Comparing automated text classification methods breakdown →
272

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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