Johan Ugander

3.8k total citations · 2 hit papers
39 papers, 1.4k citations indexed

About

Johan Ugander is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Johan Ugander has authored 39 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Statistical and Nonlinear Physics, 11 papers in Artificial Intelligence and 6 papers in Management Science and Operations Research. Recurrent topics in Johan Ugander's work include Complex Network Analysis Techniques (19 papers), Opinion Dynamics and Social Influence (13 papers) and Advanced Causal Inference Techniques (5 papers). Johan Ugander is often cited by papers focused on Complex Network Analysis Techniques (19 papers), Opinion Dynamics and Social Influence (13 papers) and Advanced Causal Inference Techniques (5 papers). Johan Ugander collaborates with scholars based in United States, Israel and Sweden. Johan Ugander's co-authors include Lars Bäckström, Jon Kleinberg, Cameron Marlow, Sebastiano Vigna, Paolo Boldi, Marco Rosa, Brian Karrer, Dean Eckles, Chenhao Tan and Daniel M. Romero and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Management Science.

In The Last Decade

Johan Ugander

35 papers receiving 1.4k citations

Hit Papers

Structural diversity in social contagion 2012 2026 2016 2021 2012 2012 100 200 300 400

Peers

Johan Ugander
Comparison fields: 5 of 106
  • Statistical and Nonlinear Physics 754
  • Artificial Intelligence 343
  • Sociology and Political Science 340
  • Computer Networks and Communications 266
  • Computer Vision and Pattern Recognition 199
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Citations per field, relative to Johan Ugander
Johan Ugander · 1×
Citations per year, relative to Johan Ugander
Johan Ugander · 1×

Countries citing papers authored by Johan Ugander

Since Specialization
Citations

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

Fields of papers citing papers by Johan Ugander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johan Ugander

This figure shows the co-authorship network connecting the top 25 collaborators of Johan Ugander. A scholar is included among the top collaborators of Johan Ugander 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 Johan Ugander. Johan Ugander 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 1
2 1
3 0
4 2
5 6
6 6
7 6
8 20
9 1
10 58
11 2
12 3
13 34
14
Pairwise Choice Markov Chains
5
15 88
16 1
17
Structural diversity in social contagion breakdown →
412
18
A concave regularization technique for sparse mixture models
7
19 54
20
Delay-dependent Stability of Genetic Regulatory Networks
7

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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