René Pfitzner
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
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- scientometrics and bibliometrics research
Papers in
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- Complex Network Analysis Techniques 6
- Opinion Dynamics and Social Influence 5
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- Misinformation and Its Impacts 1
- Evolutionary Game Theory and Cooperation 1
- Co-authors
- Frank Schweitzer (6 shared papers)Antonios Garas (5 shared papers)Ingo Scholtes (5 shared papers)Claudio J. Tessone (4 shared papers)Nicolas Perony (1 shared paper)
- Journals
- Advances in Complex Systems (1 paper)Physical Review Letters (1 paper)Nature Communications (1 paper)EPJ Data Science (1 paper)Proceedings of the International AAAI Conference on Web and Social Media (1 paper)
- Partner nations
- Switzerland
In The Last Decade
René Pfitzner
6 papers receiving 387 citations
Peers
Comparison fields: 5 of 64
- Statistical and Nonlinear Physics 274
- Statistics, Probability and Uncertainty 79
- Modeling and Simulation 18
- Transportation 23
- Experimental and Cognitive Psychology 36
Countries citing papers authored by René Pfitzner
This map shows the geographic impact of René Pfitzner'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 René Pfitzner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites René Pfitzner more than expected).
Fields of papers citing papers by René Pfitzner
This network shows the impact of papers produced by René Pfitzner. 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 René Pfitzner. The network helps show where René Pfitzner may publish in the future.
Co-authors
The 5 scholars most cited alongside René Pfitzner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 180 | |
| 2 | 2014 | 108 | |
| 3 | 2013 | 85 | |
| 4 | 2021 | 10 | |
| 5 | Slow-Down vs. Speed-Up of Information Diffusion in Non-Markovian Temporal Networks. | 2013 | 7 |
| 6 | 2013 | 5 |
About René Pfitzner
René Pfitzner is a scholar working on Statistical and Nonlinear Physics, Sociology and Political Science, Ecology, Evolution, Behavior and Systematics, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 6 papers that have together received 395 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (6 papers), Opinion Dynamics and Social Influence (5 papers), Plant and animal studies (1 paper), Mental Health Research Topics (1 paper), scientometrics and bibliometrics research (1 paper), Misinformation and Its Impacts (1 paper), Functional Brain Connectivity Studies (1 paper) and Evolutionary Game Theory and Cooperation (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (274 citations), Statistics, Probability and Uncertainty (79 citations), Modeling and Simulation (18 citations), Transportation (23 citations) and Experimental and Cognitive Psychology (36 citations). René Pfitzner has collaborated with scholars based in Switzerland. Frequent co-authors include Frank Schweitzer, Antonios Garas, Ingo Scholtes, Claudio J. Tessone and Nicolas Perony. Their work appears in journals such as Advances in Complex Systems, Physical Review Letters, Nature Communications, EPJ Data Science and Proceedings of the International AAAI Conference on Web and Social Media.
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.