Samuel Arbesman

2.3k total citations · 2 hit papers
22 papers, 1.5k citations indexed

About

Samuel Arbesman is a scholar working on Sociology and Political Science, Statistical and Nonlinear Physics and Molecular Biology. According to data from OpenAlex, Samuel Arbesman has authored 22 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Sociology and Political Science, 5 papers in Statistical and Nonlinear Physics and 3 papers in Molecular Biology. Recurrent topics in Samuel Arbesman's work include Complex Network Analysis Techniques (5 papers), Evolutionary Game Theory and Cooperation (4 papers) and Complex Systems and Time Series Analysis (3 papers). Samuel Arbesman is often cited by papers focused on Complex Network Analysis Techniques (5 papers), Evolutionary Game Theory and Cooperation (4 papers) and Complex Systems and Time Series Analysis (3 papers). Samuel Arbesman collaborates with scholars based in United States. Samuel Arbesman's co-authors include Nicholas A. Christakis, David G. Rand, Aaron Clauset, Daniel B. Larremore, Steven H. Strogatz, Marta C. González, Albert-Ĺaszló Barabási, Jukka‐Pekka Onnela, Michael S. Vitevitch and James H. Fowler and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Science Advances.

In The Last Decade

Samuel Arbesman

21 papers receiving 1.4k citations

Hit Papers

Dynamic social networks promote cooperation in experiment... 2011 2026 2016 2021 2011 2015 100 200 300 400
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.

  1. Dynamic social networks promote cooperation in experiments with humans
    2011 463 citations David G. Rand, Samuel Arbesman et al. Proceedings of the National Academy of Sciences profile →
  2. Systematic inequality and hierarchy in faculty hiring networks
    2015 360 citations Samuel Arbesman et al. profile →

Peers

Samuel Arbesman
Zachary P. Neal United States
Gerhard G. van de Bunt Netherlands
Arnout van de Rijt Netherlands
Jaime E. Settle United States
Heiko Rauhut Switzerland
Junming Huang China
Johan Koskinen United Kingdom
Paolo Pin Italy
Jan Lorenz Germany
Mario Paolucci Italy
Zachary P. Neal United States
Samuel Arbesman
Citations per year, relative to Samuel Arbesman Samuel Arbesman (= 1×) peers Zachary P. Neal

Countries citing papers authored by Samuel Arbesman

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Arbesman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Arbesman

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Arbesman. A scholar is included among the top collaborators of Samuel Arbesman 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 Samuel Arbesman. Samuel Arbesman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Arbesman, Samuel. (2016). Overcomplicated: Technology at the Limits of Comprehension. 12 indexed citations
2.
Jordan, Jillian, David G. Rand, Samuel Arbesman, James H. Fowler, & Nicholas A. Christakis. (2013). Contagion of Cooperation in Static and Fluid Social Networks. PLoS ONE. 8(6). e66199–e66199. 63 indexed citations
3.
Arbesman, Samuel & K. Brad Wray. (2013). Demographics and the fate of the young scientist. Social Studies of Science. 43(2). 282–286. 3 indexed citations
4.
O’Malley, A. James, Samuel Arbesman, Darby Miller Steiger, James H. Fowler, & Nicholas A. Christakis. (2012). Egocentric Social Network Structure, Health, and Pro-Social Behaviors in a National Panel Study of Americans. PLoS ONE. 7(5). e36250–e36250. 83 indexed citations
5.
Arbesman, Samuel & Jon F. Wilkins. (2012). The Rise of Fractional Scholarship. SSRN Electronic Journal. 1 indexed citations
6.
Stangler, Dane & Samuel Arbesman. (2012). What Does Fortune 500 Turnover Mean?. SSRN Electronic Journal. 3 indexed citations
7.
Onnela, Jukka‐Pekka, Samuel Arbesman, Marta C. González, Albert-Ĺaszló Barabási, & Nicholas A. Christakis. (2011). Geographic Constraints on Social Network Groups. PLoS ONE. 6(4). e16939–e16939. 243 indexed citations
8.
Arbesman, Samuel & Nicholas A. Christakis. (2011). Scaling of prosocial behavior in cities. Physica A Statistical Mechanics and its Applications. 390(11). 2155–2159. 18 indexed citations
9.
Rand, David G., Samuel Arbesman, & Nicholas A. Christakis. (2011). Dynamic social networks promote cooperation in experiments with humans. Proceedings of the National Academy of Sciences. 108(48). 19193–19198. 463 indexed citations breakdown →
10.
Arbesman, Samuel & Nicholas A. Christakis. (2011). Eurekometrics: Analyzing the Nature of Discovery. PLoS Computational Biology. 7(6). e1002072–e1002072. 6 indexed citations
11.
Arbesman, Samuel. (2011). The Life-Spans of Empires. Historical Methods A Journal of Quantitative and Interdisciplinary History. 44(3). 127–129. 10 indexed citations
12.
Arbesman, Samuel, et al.. (2011). Differentiating Skill and Luck in Financial Markets with Streaks. SSRN Electronic Journal.
13.
Arbesman, Samuel & Gregory Laughlin. (2010). A Scientometric Prediction of the Discovery of the First Potentially Habitable Planet with a Mass Similar to Earth. PLoS ONE. 5(10). e13061–e13061. 3 indexed citations
14.
Arbesman, Samuel. (2010). Quantifying the ease of scientific discovery. Scientometrics. 86(2). 245–250. 17 indexed citations
15.
Arbesman, Samuel & Nicholas A. Christakis. (2010). Leadership Insularity: A New Measure of Connectivity Between Central Nodes in Networks.. PubMed. 30(1). 4–10. 3 indexed citations
16.
Arbesman, Samuel, Steven H. Strogatz, & Michael S. Vitevitch. (2010). Comparative Analysis of Networks of Phonologically Similar Words in English and Spanish. Entropy. 12(3). 327–337. 32 indexed citations
17.
Arbesman, Samuel, Steven H. Strogatz, & Michael S. Vitevitch. (2010). THE STRUCTURE OF PHONOLOGICAL NETWORKS ACROSS MULTIPLE LANGUAGES. International Journal of Bifurcation and Chaos. 20(3). 679–685. 69 indexed citations
18.
Arbesman, Samuel, Jon Kleinberg, & Steven H. Strogatz. (2009). Superlinear scaling for innovation in cities. Physical Review E. 79(1). 16115–16115. 75 indexed citations
19.
Arbesman, Samuel, Jon Kleinberg, & Steven H. Strogatz. (2008). An Explanation of Superlinear Scaling for Innovation in Cities. arXiv (Cornell University). 44(5). 1176–1181. 1 indexed citations
20.
Arbesman, Samuel, Leo Enthoven, & Antónia Monteiro. (2003). Ancient Wings: animating the evolution of butterfly wing patterns. Biosystems. 71(3). 289–295. 5 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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