Juergen Lerner
Impact in
-
- Complex Network Analysis Techniques
- Communication top 2%
- Wikis in Education and Collaboration
Papers in
-
- Complex Network Analysis Techniques 31
-
- Wikis in Education and Collaboration 14
- Co-authors
- Ulrik Brandes (27 shared papers)Alessandro Lomi (14 shared papers)José Luís Molina (13 shared papers)Miranda J. Lubbers (6 shared papers)Chris McCarty (5 shared papers)Marian-Gabriel Hâncean (13 shared papers)Tom A. B. Snijders (2 shared papers)Andreas Lommatzsch (1 shared paper)
- Journals
- Social Networks (7 papers)Scientific Reports (3 papers)Journal of the Royal Statistical Society Series A (Statistics in Society) (2 papers)Network Science (2 papers)Royal Society Open Science (2 papers)
- Partner nations
- GermanySwitzerlandRomania
In The Last Decade
Juergen Lerner
65 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 110
- Statistical and Nonlinear Physics 642
- Communication 192
- Modeling and Simulation 62
- Statistics, Probability and Uncertainty 83
- Sociology and Political Science 438
Countries citing papers authored by Juergen Lerner
This map shows the geographic impact of Juergen Lerner'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 Juergen Lerner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juergen Lerner more than expected).
Fields of papers citing papers by Juergen Lerner
This network shows the impact of papers produced by Juergen Lerner. 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 Juergen Lerner. The network helps show where Juergen Lerner may publish in the future.
Co-authors
The 25 scholars most cited alongside Juergen Lerner, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 262 | |
| 2 | 2009 | 238 | |
| 3 | 2009 | 122 | |
| 4 | 2009 | 106 | |
| 5 | 2020 | 78 | |
| 6 | 2010 | 60 | |
| 7 | 2002 | 58 | |
| 8 | 2013 | 49 | |
| 9 | 2015 | 48 | |
| 10 | 2008 | 47 | |
| 11 | 2014 | 44 | |
| 12 | 2019 | 36 | |
| 13 | 2014 | 34 | |
| 14 | 2008 | 31 | |
| 15 | 2018 | 28 | |
| 16 | 2022 | 27 | |
| 17 | 2005 | 25 | |
| 18 | 2021 | 25 | |
| 19 | 2010 | 23 | |
| 20 | 2012 | 23 |
About Juergen Lerner
Juergen Lerner is a scholar working on Statistical and Nonlinear Physics, Communication, Computer Vision and Pattern Recognition, Statistics, Probability and Uncertainty and Sociology and Political Science, having authored 73 papers that have together received 1.8k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (31 papers), Wikis in Education and Collaboration (14 papers), Data Visualization and Analytics (8 papers), scientometrics and bibliometrics research (6 papers), Crime Patterns and Interventions (4 papers), Social Capital and Networks (3 papers), Graph Theory and Algorithms (3 papers) and Diaspora, migration, transnational identity (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (642 citations), Communication (192 citations), Modeling and Simulation (62 citations), Statistics, Probability and Uncertainty (83 citations) and Sociology and Political Science (438 citations). Juergen Lerner has collaborated with scholars based in Germany, Switzerland and Romania. Frequent co-authors include Ulrik Brandes, Alessandro Lomi, José Luís Molina, Miranda J. Lubbers, Chris McCarty, Marian-Gabriel Hâncean, Tom A. B. Snijders, Andreas Lommatzsch, Stephan Schmidt and Ernesto William De Luca. Their work appears in journals such as Social Networks, Scientific Reports, Journal of the Royal Statistical Society Series A (Statistics in Society), Network Science and Royal Society Open Science.
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.