Peter Bjerregaard Vahlstrup
- Sociology and Political Science top 5%
- Communication top 5%
- Artificial Intelligence
- Statistical and Nonlinear Physics
- Literature and Literary Theory
- Co-authors
- Anja BechmannAlexander BorMichael Bang PetersenMathias OsmundsenJianbo GaoKristoffer Laigaard NielboJens ChristoffersenTom Brughmans
- Topics
- Social Media and Politics (2 papers)Complex Network Analysis Techniques (1 paper)Human Mobility and Location-Based Analysis (1 paper)
In The Last Decade
Peter Bjerregaard Vahlstrup
3 papers receiving 273 citations
Hit Papers
Peers
Comparison fields: 5 of 40
- Sociology and Political Science 257
- Communication 165
- Artificial Intelligence 79
- Statistical and Nonlinear Physics 35
- Literature and Literary Theory 21
Countries citing papers authored by Peter Bjerregaard Vahlstrup
This map shows the geographic impact of Peter Bjerregaard Vahlstrup'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 Peter Bjerregaard Vahlstrup with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Bjerregaard Vahlstrup more than expected).
Fields of papers citing papers by Peter Bjerregaard Vahlstrup
This network shows the impact of papers produced by Peter Bjerregaard Vahlstrup. 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 Peter Bjerregaard Vahlstrup. The network helps show where Peter Bjerregaard Vahlstrup may publish in the future.
Co-authorship network of co-authors of Peter Bjerregaard Vahlstrup
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Bjerregaard Vahlstrup. A scholar is included among the top collaborators of Peter Bjerregaard Vahlstrup 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 Peter Bjerregaard Vahlstrup. Peter Bjerregaard Vahlstrup is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Partisan Polarization Is the Primary Psychological Motivation behind Political Fake News Sharing on Twitterbreakdown → | 276 |
| 3 | Trend Reservoir Detection: Minimal Persistence and Resonant Behavior of Trends in Social Media. | 1 |
| 4 | 13 |
About Peter Bjerregaard Vahlstrup
Peter Bjerregaard Vahlstrup is a scholar working on Communication, Transportation and Philosophy, having authored 4 papers that have together received 290 indexed citations. Recurring topics across this work include Social Media and Politics (2 papers), Complex Network Analysis Techniques (1 paper) and Human Mobility and Location-Based Analysis (1 paper). The work is most often cited by research in Communication (165 citations), Sociology and Political Science (257 citations) and Statistical and Nonlinear Physics (35 citations). Peter Bjerregaard Vahlstrup has collaborated with scholars based in Denmark, Belgium and Czechia. Frequent co-authors include Anja Bechmann, Alexander Bor, Michael Bang Petersen, Mathias Osmundsen, Jianbo Gao, Kristoffer Laigaard Nielbo, Jens Christoffersen, Tom Brughmans, Pau de Soto and M. Johansen. Their work appears in journals such as American Political Science Review, Scientific Data and First Monday.
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.