Andrea Landherr
- Statistical and Nonlinear Physics top 5%
- Sociology and Political Science top 10%
- Marketing top 10%
- Artificial Intelligence
- Communication top 10%
- Co-authors
- Julia HeidemannBettina FriedlFlorian ProbstMichael ScholzVerena DornerMathias KlierHarry HauptHans Ulrich Buhl
- Topics
- Digital Marketing and Social Media (8 papers)Complex Network Analysis Techniques (4 papers)Social Media and Politics (3 papers)
- Journals
- Decision Support SystemsJournal of the Association for Information SystemsElectronic Markets
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Andrea Landherr
15 papers receiving 375 citations
Peers
Comparison fields: 5 of 99
- Statistical and Nonlinear Physics 146
- Sociology and Political Science 123
- Marketing 55
- Artificial Intelligence 55
- Communication 45
Countries citing papers authored by Andrea Landherr
This map shows the geographic impact of Andrea Landherr'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 Andrea Landherr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Landherr more than expected).
Fields of papers citing papers by Andrea Landherr
This network shows the impact of papers produced by Andrea Landherr. 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 Andrea Landherr. The network helps show where Andrea Landherr may publish in the future.
Co-authorship network of co-authors of Andrea Landherr
This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Landherr. A scholar is included among the top collaborators of Andrea Landherr 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 Andrea Landherr. Andrea Landherr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 1 | |
| 3 | Awareness, Interest and Final Decision: The Effects of User- and Marketer-Generated Content on Consumers' Purchase Decisions | 9 |
| 4 | 1 | |
| 5 | 2 | |
| 6 | Awareness, Interest, and Purchase: The Effects of User- and Marketer-Generated Content on Purchase Decision Processes | 14 |
| 7 | STIMULATING USER ACTIVITY ON COMPANY FAN PAGES IN ONLINE SOCIAL NETWORKS | 6 |
| 8 | 7 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 8 | |
| 12 | 283 | |
| 13 | 23 | |
| 14 | 13 | |
| 15 | Ökonomische Planung kundenorientierter IT-Investitionen - ein modellbasierter Ansatz und seine Anwendung bei einem Finanzdienstleister | 1 |
About Andrea Landherr
Andrea Landherr is a scholar working on Marketing, Communication and Strategy and Management, having authored 15 papers that have together received 398 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (8 papers), Complex Network Analysis Techniques (4 papers) and Social Media and Politics (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (146 citations), Communication (45 citations) and Marketing (55 citations). Andrea Landherr has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Julia Heidemann, Bettina Friedl, Florian Probst, Michael Scholz, Verena Dorner, Mathias Klier, Harry Haupt, Hans Ulrich Buhl, Johannes B. Huber and Robert Klein. Their work appears in journals such as Decision Support Systems, Journal of the Association for Information Systems and Electronic Markets.
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.