Lucas Böttcher
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Model Reduction and Neural Networks
Papers in
-
- Complex Network Analysis Techniques 14
- Opinion Dynamics and Social Influence 11
- Model Reduction and Neural Networks 7
-
- COVID-19 epidemiological studies 10
- Co-authors
- Tom Chou (14 shared papers)Hans J. Herrmann (3 shared papers)Jan Nagler (4 shared papers)Nino Antulov-Fantulin (4 shared papers)Maria R. D’Orsogna (8 shared papers)Dirk Helbing (4 shared papers)Olivia Woolley-Meza (3 shared papers)N. A. M. Araújo (2 shared papers)
- Journals
- Physical review. E (4 papers)PLoS Computational Biology (4 papers)Physical Review Research (3 papers)PLoS ONE (3 papers)Scientific Reports (3 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Lucas Böttcher
52 papers receiving 762 citations
Peers
Comparison fields: 5 of 125
- Modeling and Simulation 131
- Statistical and Nonlinear Physics 330
- Communication 61
- Public Health, Environmental and Occupational Health 95
- Applied Microbiology and Biotechnology 6
Countries citing papers authored by Lucas Böttcher
This map shows the geographic impact of Lucas Böttcher'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 Lucas Böttcher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucas Böttcher more than expected).
Fields of papers citing papers by Lucas Böttcher
This network shows the impact of papers produced by Lucas Böttcher. 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 Lucas Böttcher. The network helps show where Lucas Böttcher may publish in the future.
Co-authors
The 25 scholars most cited alongside Lucas Böttcher, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 72 | |
| 2 | 2022 | 60 | |
| 3 | 2017 | 57 | |
| 4 | 2016 | 51 | |
| 5 | 2017 | 48 | |
| 6 | 2023 | 45 | |
| 7 | 2021 | 27 | |
| 8 | 2022 | 27 | |
| 9 | 2022 | 26 | |
| 10 | 2020 | 25 | |
| 11 | 2016 | 24 | |
| 12 | 2017 | 21 | |
| 13 | 2021 | 18 | |
| 14 | 2024 | 17 | |
| 15 | 2022 | 16 | |
| 16 | 2018 | 15 | |
| 17 | 2023 | 15 | |
| 18 | 2020 | 15 | |
| 19 | 2020 | 14 | |
| 20 | 2021 | 14 |
About Lucas Böttcher
Lucas Böttcher is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation, Artificial Intelligence, Economics and Econometrics and Sociology and Political Science, having authored 56 papers that have together received 778 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (14 papers), Opinion Dynamics and Social Influence (11 papers), COVID-19 epidemiological studies (10 papers), Model Reduction and Neural Networks (7 papers), Social Media and Politics (4 papers), Ecosystem dynamics and resilience (4 papers), Gene Regulatory Network Analysis (4 papers) and Evolutionary Game Theory and Cooperation (4 papers). The work is most often cited by research in Modeling and Simulation (131 citations), Statistical and Nonlinear Physics (330 citations), Communication (61 citations), Public Health, Environmental and Occupational Health (95 citations) and Applied Microbiology and Biotechnology (6 citations). Lucas Böttcher has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Tom Chou, Hans J. Herrmann, Jan Nagler, Nino Antulov-Fantulin, Maria R. D’Orsogna, Dirk Helbing, Olivia Woolley-Meza, N. A. M. Araújo, Hans Gersbach and Hans J. Herrmann. Their work appears in journals such as Physical review. E, PLoS Computational Biology, Physical Review Research, PLoS ONE and Scientific Reports.
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.