Eugene C. Johnsen
- Statistical and Nonlinear Physics top 0.5%
- Sociology and Political Science top 2%
- Epidemiology top 10%
- Communication top 2%
- General Health Professions top 5%
- Co-authors
- Noah E. FriedkinPeter D. KillworthH. Russell BernardChristopher McCartyGene A. ShelleyScott S. RobinsonThomas StorerAdil Yaqub
- Topics
- Complex Network Analysis Techniques (14 papers)graph theory and CDMA systems (14 papers)Opinion Dynamics and Social Influence (13 papers)
- Partner nations
- United StatesUnited KingdomMexico
In The Last Decade
Eugene C. Johnsen
41 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Statistical and Nonlinear Physics 1.1k
- Sociology and Political Science 930
- Epidemiology 336
- Communication 308
- General Health Professions 232
Countries citing papers authored by Eugene C. Johnsen
This map shows the geographic impact of Eugene C. Johnsen'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 Eugene C. Johnsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eugene C. Johnsen more than expected).
Fields of papers citing papers by Eugene C. Johnsen
This network shows the impact of papers produced by Eugene C. Johnsen. 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 Eugene C. Johnsen. The network helps show where Eugene C. Johnsen may publish in the future.
Co-authorship network of co-authors of Eugene C. Johnsen
This figure shows the co-authorship network connecting the top 25 collaborators of Eugene C. Johnsen. A scholar is included among the top collaborators of Eugene C. Johnsen 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 Eugene C. Johnsen. Eugene C. Johnsen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Social Influence Network Theory: Diffusion of Attitudes leading to Behavior | 0 |
| 3 | Estimating the Ripple Effect of a Disaster 1 | 22 |
| 4 | 110 | |
| 5 | 54 | |
| 6 | 72 | |
| 7 | Social influence and opinionsbreakdown → | 657 |
| 8 | 144 | |
| 9 | 44 | |
| 10 | 7 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | 8 | |
| 15 | 6 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | 17 | |
| 19 | 20 | |
| 20 | 22 |
About Eugene C. Johnsen
Eugene C. Johnsen is a scholar working on Theoretical Computer Science, Algebra and Number Theory and Statistical and Nonlinear Physics, having authored 42 papers that have together received 2.3k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (14 papers), graph theory and CDMA systems (14 papers) and Opinion Dynamics and Social Influence (13 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.1k citations), Communication (308 citations) and Sociology and Political Science (930 citations). Eugene C. Johnsen has collaborated with scholars based in United States, United Kingdom and Mexico. Frequent co-authors include Noah E. Friedkin, Peter D. Killworth, H. Russell Bernard, Christopher McCarty, Gene A. Shelley, Scott S. Robinson, Thomas Storer, Adil Yaqub, Ronald E. Rice and Will Kalkhoff. Their work appears in journals such as American Mathematical Monthly, Social Psychology Quarterly and Social Networks.
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.