Bernardo A. Huberman

9.5k citations
81 papers · 6.1k indexed · 3 hit papers · h-index 28
Topics
Quantum chaos and dynamical systems (9 papers)Spectroscopy and Quantum Chemical Studies (9 papers)Complex Network Analysis Techniques (9 papers)

In The Last Decade

Bernardo A. Huberman

79 papers receiving 5.6k citations

Hit Papers

Predicting the Future with Social Media20002026200820172010200620004008001.2k

Peers

Bernardo A. Huberman
Comparison fields: 5 of 166
  • Computer Networks and Communications 1.8k
  • Statistical and Nonlinear Physics 1.7k
  • Artificial Intelligence 1.4k
  • Information Systems 1.2k
  • Sociology and Political Science 1.2k
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Bernardo A. Huberman relative to Tad Hogg United States Tad Hogg's profile →
Citations per field
00.5×1.5×2.5×
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Citations per year

Countries citing papers authored by Bernardo A. Huberman

Since Specialization
Citations

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

Fields of papers citing papers by Bernardo A. Huberman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bernardo A. Huberman. 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 Bernardo A. Huberman. The network helps show where Bernardo A. Huberman may publish in the future.

Co-authorship network of co-authors of Bernardo A. Huberman

This figure shows the co-authorship network connecting the top 25 collaborators of Bernardo A. Huberman. A scholar is included among the top collaborators of Bernardo A. Huberman 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 Bernardo A. Huberman. Bernardo A. Huberman 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
#WorkIndexed citations
1 0
2 1
3 3
4 1
5
Bitcoin as a Monetary Issue
1
6 0
7 28
8
Behavior of Multi-Agent Protocols Using Quantum Entanglement.
1
9
Swing Options: a Mechanism for Pricing IT Peak Demand
14
10 7
11
The Economics of Surfing
15
12
Moving Like a Solid Block
1
13 155
14
Better Than The Best: The Power of Cooperation
10
15 31
16 22
17 14
18 3
19 29
20 1

About Bernardo A. Huberman

Bernardo A. Huberman is a scholar working on Statistical and Nonlinear Physics, Condensed Matter Physics and Atomic and Molecular Physics, and Optics, having authored 81 papers that have together received 6.1k indexed citations. Recurring topics across this work include Quantum chaos and dynamical systems (9 papers), Spectroscopy and Quantum Chemical Studies (9 papers) and Complex Network Analysis Techniques (9 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.7k citations), Computer Networks and Communications (1.8k citations) and Communication (467 citations). Bernardo A. Huberman has collaborated with scholars based in United States, Brazil and France. Frequent co-authors include Sitaram Asur, Scott A. Golder, Eytan Adar, Tad Hogg, Norman H. Packard, James P. Crutchfield, Christoph H. Loch, Ayşe Öncüler, Dominique d’Humières and M. R. Beasley. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.

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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