Jürgen Pfeffer
- Sociology and Political Science top 2%
- Communication top 1%
- Artificial Intelligence top 5%
- Statistical and Nonlinear Physics top 2%
- Information Systems top 5%
- Co-authors
- Derek RuthsKathleen M. CarleyMomin M. MalikFred MorstatterRaji GhawiPeter M. LandwehrKatja MayerHemank Lamba
- Topics
- Complex Network Analysis Techniques (39 papers)Opinion Dynamics and Social Influence (26 papers)Social Media and Politics (18 papers)
- Journals
- ScienceNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Jürgen Pfeffer
79 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Sociology and Political Science 891
- Communication 534
- Artificial Intelligence 389
- Statistical and Nonlinear Physics 381
- Information Systems 216
Countries citing papers authored by Jürgen Pfeffer
This map shows the geographic impact of Jürgen Pfeffer'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 Jürgen Pfeffer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jürgen Pfeffer more than expected).
Fields of papers citing papers by Jürgen Pfeffer
This network shows the impact of papers produced by Jürgen Pfeffer. 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 Jürgen Pfeffer. The network helps show where Jürgen Pfeffer may publish in the future.
Co-authorship network of co-authors of Jürgen Pfeffer
This figure shows the co-authorship network connecting the top 25 collaborators of Jürgen Pfeffer. A scholar is included among the top collaborators of Jürgen Pfeffer 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 Jürgen Pfeffer. Jürgen Pfeffer 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 14 | |
| 8 | 11 | |
| 9 | 2 | |
| 10 | 35 | |
| 11 | 1 | |
| 12 | 10 | |
| 13 | 2 | |
| 14 | 0 | |
| 15 | 0 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | 69 | |
| 19 | Predicting Defective Engines using Convolutional Neural Networks on Temporal Vibration Signals | 17 |
| 20 | 7 |
About Jürgen Pfeffer
Jürgen Pfeffer is a scholar working on Statistical and Nonlinear Physics, Communication and Information Systems, having authored 94 papers that have together received 2.0k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (39 papers), Opinion Dynamics and Social Influence (26 papers) and Social Media and Politics (18 papers). The work is most often cited by research in Communication (534 citations), Statistical and Nonlinear Physics (381 citations) and Transportation (153 citations). Jürgen Pfeffer has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Derek Ruths, Kathleen M. Carley, Momin M. Malik, Fred Morstatter, Raji Ghawi, Peter M. Landwehr, Katja Mayer, Hemank Lamba, Ines Mergel and Huan Liu. Their work appears in journals such as Science, Nature Communications and SHILAP Revista de lepidopterología.
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.