Michael Brautbar
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
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- Advanced Graph Neural Networks
Papers in
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- Complex Network Analysis Techniques 4
- Opinion Dynamics and Social Influence 1
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- Complexity and Algorithms in Graphs 2
- Topological and Geometric Data Analysis 1
- Co-authors
- Christian Borgs (3 shared papers)Jennifer Chayes (3 shared papers)Michael Kearns (1 shared paper)Shang‐Hua Teng (2 shared papers)Brendan Lucier (1 shared paper)
- Journals
- Internet Mathematics (1 paper)arXiv (Cornell University) (1 paper)ScholarlyCommons (University of Pennsylvania) (1 paper)
- Partner nations
- United States
In The Last Decade
Michael Brautbar
4 papers receiving 46 citations
Peers
Comparison fields: 5 of 18
- Statistical and Nonlinear Physics 33
- Artificial Intelligence 23
- Information Systems 15
- Computer Science Applications 3
- Computational Theory and Mathematics 7
Countries citing papers authored by Michael Brautbar
This map shows the geographic impact of Michael Brautbar'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 Michael Brautbar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Brautbar more than expected).
Fields of papers citing papers by Michael Brautbar
This network shows the impact of papers produced by Michael Brautbar. 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 Michael Brautbar. The network helps show where Michael Brautbar may publish in the future.
Co-authors
The 5 scholars most cited alongside Michael Brautbar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 19 | |
| 2 | Influence Maximization in Social Networks: Towards an Optimal Algorithmic Solution | 2012 | 15 |
| 3 | Local Algorithms for Finding Interesting Individuals in Large Networks | 2010 | 12 |
| 4 | Sublinear Time Algorithm for PageRank Computations and Related Applications | 2012 | 2 |
About Michael Brautbar
Michael Brautbar is a scholar working on Statistical and Nonlinear Physics, Computational Theory and Mathematics, Computer Networks and Communications, Artificial Intelligence and Infectious Diseases, having authored 4 papers that have together received 48 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (4 papers), Complexity and Algorithms in Graphs (2 papers), Advanced Graph Neural Networks (2 papers), Network Traffic and Congestion Control (1 paper), Opinion Dynamics and Social Influence (1 paper), Peer-to-Peer Network Technologies (1 paper) and Topological and Geometric Data Analysis (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (33 citations), Artificial Intelligence (23 citations), Information Systems (15 citations), Computer Science Applications (3 citations) and Computational Theory and Mathematics (7 citations). Michael Brautbar has collaborated with scholars based in United States. Frequent co-authors include Christian Borgs, Jennifer Chayes, Michael Kearns, Shang‐Hua Teng and Brendan Lucier. Their work appears in journals such as Internet Mathematics, arXiv (Cornell University) and ScholarlyCommons (University of Pennsylvania).
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.