Brian Uzzi

37.4k total citations · 12 hit papers
99 papers, 24.4k citations indexed

About

Brian Uzzi is a scholar working on Statistics, Probability and Uncertainty, Sociology and Political Science and Economics and Econometrics. According to data from OpenAlex, Brian Uzzi has authored 99 papers receiving a total of 24.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Statistics, Probability and Uncertainty, 22 papers in Sociology and Political Science and 20 papers in Economics and Econometrics. Recurrent topics in Brian Uzzi's work include scientometrics and bibliometrics research (22 papers), Opinion Dynamics and Social Influence (13 papers) and Complex Network Analysis Techniques (11 papers). Brian Uzzi is often cited by papers focused on scientometrics and bibliometrics research (22 papers), Opinion Dynamics and Social Influence (13 papers) and Complex Network Analysis Techniques (11 papers). Brian Uzzi collaborates with scholars based in United States, Russia and Canada. Brian Uzzi's co-authors include Benjamin F. Jones, Stefan Wuchty, Ryon Lancaster, Satyam Mukherjee, Luı́s A. Nunes Amaral, Michael J. Stringer, Sara B. Soderstrom, Alison Davis‐Blake, James J. Gillespie and Roger Guimerà and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Brian Uzzi

94 papers receiving 22.1k citations

Hit Papers

Social Structure and Competition in Interfirm Networks: T... 1996 2026 2006 2016 1997 1996 2007 1999 2005 2.0k 4.0k 6.0k

Peers

Brian Uzzi
Comparison fields: 5 of 210
  • Strategy and Management 8.7k
  • Sociology and Political Science 5.8k
  • Organizational Behavior and Human Resource Management 3.8k
  • Management of Technology and Innovation 3.7k
  • Economics and Econometrics 3.5k
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Citations per field, relative to Brian Uzzi
Brian Uzzi · 1×
Citations per year, relative to Brian Uzzi
Brian Uzzi · 1×

Countries citing papers authored by Brian Uzzi

Since Specialization
Citations

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

Fields of papers citing papers by Brian Uzzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Uzzi

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Uzzi. A scholar is included among the top collaborators of Brian Uzzi 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 Brian Uzzi. Brian Uzzi 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
# Work Indexed citations
1 0
2 0
3 41
4 39
5 3
6 26
7 67
8 4
9 24
10 137
11 35
12 2
13 13
14 128
15 239
16
Multi-University Research Teams: Shifting Impact, Geography, and Stratification in Science
20
17
Keys to Understanding Your Social Capital
2
18
The Increasing Dominance of Teams in the Production of Knowledge
85
19
Cómo construir su red
1
20
Embeddedness & corporate change in a global economy
6

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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