Eugene C. Johnsen

4.2k total citations · 1 hit paper
42 papers, 2.3k citations indexed

About

Eugene C. Johnsen is a scholar working on Statistical and Nonlinear Physics, Electrical and Electronic Engineering and Sociology and Political Science. According to data from OpenAlex, Eugene C. Johnsen has authored 42 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistical and Nonlinear Physics, 14 papers in Electrical and Electronic Engineering and 8 papers in Sociology and Political Science. Recurrent topics in Eugene C. Johnsen's work include Complex Network Analysis Techniques (14 papers), graph theory and CDMA systems (14 papers) and Opinion Dynamics and Social Influence (13 papers). Eugene C. Johnsen is often cited by papers focused on Complex Network Analysis Techniques (14 papers), graph theory and CDMA systems (14 papers) and Opinion Dynamics and Social Influence (13 papers). Eugene C. Johnsen collaborates with scholars based in United States, United Kingdom and Mexico. Eugene C. Johnsen's 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 and has published in prestigious journals such as American Mathematical Monthly, Social Psychology Quarterly and Social Networks.

In The Last Decade

Eugene C. Johnsen

41 papers receiving 2.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Social influence and opinions

1990 657 citations Noah E. Friedkin, Eugene C. Johnsen Journal of Mathematical Sociology profile →

Peers

Eugene C. Johnsen

SNP

SPS

EPIDE

COMMU

GHP

Sharad Goel United States

Nicola Perra United States

Samuel Leinhardt United States

Peter J. Carrington United Kingdom

Tyler H. McCormick United States

Walter Quattrociocchi Italy

Vasileios Lampos United Kingdom

Matthew Salganik United States

Robert M. Bond United States

Gueorgi Kossinets United States

Sharad Goel United States

Eugene C. Johnsen

1.0k ×0.9

SNP

2.5k ×2.7

SPS

504 ×1.5

EPIDE

1.2k ×4.0

COMMU

200 ×0.9

GHP

Citations per year, relative to Eugene C. Johnsen Eugene C. Johnsen (= 1×) peers Sharad Goel

Countries citing papers authored by Eugene C. Johnsen

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

1.

McCarty, Christopher, et al.. (2008). Comparando dos métodos de estimación del tamaño de las redes personales. Redes Revista hispana para el análisis de redes sociales. 15(2). 28–55. 1 indexed citations

2.

Johnsen, Eugene C. & Noah E. Friedkin. (2006). Social Influence Network Theory: Diffusion of Attitudes leading to Behavior. 1–15.

3.

Bernard, H. Russell, Peter D. Killworth, Eugene C. Johnsen, Gene A. Shelley, & Christopher McCarty. (2001). Estimating the Ripple Effect of a Disaster 1. 24(2). 18–22. 22 indexed citations

4.

Friedkin, Noah E. & Eugene C. Johnsen. (1997). Social positions in influence networks. Social Networks. 19(3). 209–222. 110 indexed citations

5.

Shelley, Gene A., H. Russell Bernard, Peter D. Killworth, Eugene C. Johnsen, & Christopher McCarty. (1995). Who knows your HIV status? What HIV + patients and their network members know about each other. Social Networks. 17(3-4). 189–217. 54 indexed citations

6.

Bernard, H. Russell, Eugene C. Johnsen, Peter D. Killworth, & Scott S. Robinson. (1991). Estimating the size of an average personal network and of an event subpopulation: Some empirical results. Social Science Research. 20(2). 109–121. 72 indexed citations

7.

Friedkin, Noah E. & Eugene C. Johnsen. (1990). Social influence and opinions. Journal of Mathematical Sociology. 15(3-4). 193–206. 657 indexed citations breakdown →

8.

Bernard, H. Russell, Eugene C. Johnsen, Peter D. Killworth, et al.. (1990). Comparing four different methods for measuring personal social networks. Social Networks. 12(3). 179–215. 144 indexed citations

9.

Johnsen, Eugene C.. (1986). Structure and process: Agreement models for friendship formation. Social Networks. 8(3). 257–306. 44 indexed citations

10.

Johnsen, Eugene C., et al.. (1982). Acyclic triplets and social structure in complete signed digraphs. Social Networks. 3(4). 251–272. 7 indexed citations

11.

Johnsen, Eugene C.. (1980). Stochastic matrices. I. Similarity via stochastic transforms. Linear Algebra and its Applications. 29. 185–193. 1 indexed citations

12.

Johnsen, Eugene C.. (1977). Essentially stochastic matrices—factorizations into elementary and quasi-elementary matrices. Linear Algebra and its Applications. 17(1). 79–93. 3 indexed citations

13.

Johnsen, Eugene C. & Thomas Storer. (1976). Combinatorial structures in loops, III. Difference sets in special cyclic neofields. Journal of Number Theory. 8(1). 109–130. 1 indexed citations

14.

Johnsen, Eugene C.. (1974). Essentially doubly stochastic matrices II. Canonical forms for row equivalence, equivalence, and a special case of congruence. Linear Algebra and its Applications. 8(2). 121–127. 8 indexed citations

15.

Johnsen, Eugene C.. (1974). Essentially doubly stochastic matrices. Linear and Multilinear Algebra. 1(4). 343–356. 6 indexed citations

16.

Johnsen, Eugene C. & Thomas Storer. (1974). Combinatorial structures in loops. Mathematische Zeitschrift. 138(1). 1–14. 2 indexed citations

17.

Johnsen, Eugene C. & Thomas Storer. (1973). Combinatorial structures in loops I. Elements of the decomposition theory. Journal of Combinatorial Theory Series A. 14(2). 149–166. 2 indexed citations

18.

Johnsen, Eugene C.. (1971). Essentially doubly stochastic matrices I. elements of the theory over arbitrary fields. Linear Algebra and its Applications. 4(3). 255–282. 17 indexed citations

19.

Johnsen, Eugene C.. (1966). Skew-hadamard abelian group difference sets. Journal of Algebra. 4(3). 388–402. 20 indexed citations

20.

Johnsen, Eugene C.. (1964). The Inverse Multiplier for Abelian Group Difference Sets. Canadian Journal of Mathematics. 16. 787–796. 22 indexed citations

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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