Jan Lorenz

55 papers receiving 2.7k citations

Jan Lorenz's Hit Papers

Models of Social Influence: Towards the Next Frontiers 2017 · 387 citations
3870+5+10Years since publication200400600

Peers

Jan Lorenz
Comparison fields: 5 of 137
  • Statistical and Nonlinear Physics 1.5k
  • Communication 333
  • General Decision Sciences 79
  • Sociology and Political Science 1.2k
  • Management Science and Operations Research 272
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Citations per year

Countries citing papers authored by Jan Lorenz

Since Specialization
Citations

This map shows the geographic impact of Jan Lorenz'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 Jan Lorenz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Lorenz more than expected).

Fields of papers citing papers by Jan Lorenz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan Lorenz. 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 Jan Lorenz. The network helps show where Jan Lorenz may publish in the future.

Co-authors

The 25 scholars most cited alongside Jan Lorenz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jan Lorenz Line = papers co-authored together Jan Lorenz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1
How social influence can undermine the wisdom of crowd effect
Hit paper breakdown →
2011686
2
CONTINUOUS OPINION DYNAMICS UNDER BOUNDED CONFIDENCE: A SURVEY
Hit paper breakdown →
2012416
3
Models of Social Influence: Towards the Next Frontiers
Hit paper breakdown →
2017387
4 2005201
5 2018156
6 2009150
7 200966
8 201863
9 201662
10 201055
11 201654
12
Social Cohesion in the Western World What Holds Societies Together: Insights from the Social Cohesion Radar
201654
13 201037
14 201436
15 200736
16 200733
17 202127
18 200925
19 201624
20 200824

About Jan Lorenz

Jan Lorenz is a scholar working on Statistical and Nonlinear Physics, Sociology and Political Science, Economics and Econometrics, Political Science and International Relations and Safety Research, having authored 62 papers that have together received 2.8k indexed citations. Recurring topics across this work include Opinion Dynamics and Social Influence (28 papers), Complex Network Analysis Techniques (19 papers), Electoral Systems and Political Participation (9 papers), Experimental Behavioral Economics Studies (7 papers), Evolutionary Game Theory and Cooperation (7 papers), Social Capital and Networks (6 papers), Complex Systems and Time Series Analysis (6 papers) and Social Media and Politics (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.5k citations), Communication (333 citations), General Decision Sciences (79 citations), Sociology and Political Science (1.2k citations) and Management Science and Operations Research (272 citations). Jan Lorenz has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include Frank Schweitzer, Heiko Rauhut, Dirk Helbing, Michael Mäs, Stefano Battiston, Edmund Chattoe‐Brown, Andreas Flache, Guillaume Deffuant, Sylvie Huet and Thomas Feliciani. Their work appears in journals such as Journal of Artificial Societies and Social Simulation, Advances in Complex Systems, Lecture notes in control and information sciences, Proceedings of the National Academy of Sciences and Research & Politics.

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.

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