Amin Vahdat
- Statistical and Nonlinear Physics top 2%
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Dmitri KrioukovFragkiskos PapadopoulosMarián BoguñáMaksim KitsakKevin FallPriya Mahadevan
- Topics
- Complex Network Analysis Techniques (6 papers)Topological and Geometric Data Analysis (2 papers)Opinion Dynamics and Social Influence (1 paper)
- Journals
- ACM SIGMETRICS Performance Evaluation ReviewPhysical Review E
- Partner nations
- United StatesSpainCyprus
In The Last Decade
Amin Vahdat
6 papers receiving 710 citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Statistical and Nonlinear Physics 431
- Artificial Intelligence 180
- Computational Theory and Mathematics 168
- Computer Networks and Communications 146
- Computer Vision and Pattern Recognition 86
Countries citing papers authored by Amin Vahdat
This map shows the geographic impact of Amin Vahdat'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 Amin Vahdat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amin Vahdat more than expected).
Fields of papers citing papers by Amin Vahdat
This network shows the impact of papers produced by Amin Vahdat. 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 Amin Vahdat. The network helps show where Amin Vahdat may publish in the future.
Co-authorship network of co-authors of Amin Vahdat
This figure shows the co-authorship network connecting the top 25 collaborators of Amin Vahdat. A scholar is included among the top collaborators of Amin Vahdat 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 Amin Vahdat. Amin Vahdat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Hyperbolic geometry of complex networksbreakdown → | 544 |
| 2 | 88 | |
| 3 | 21 | |
| 4 | A Basis for Systematic Analysis of Network Topologies | 7 |
| 5 | 82 | |
| 6 | A Basis for Systematic Analysis of Network Topologies: Technical Report | 1 |
About Amin Vahdat
Amin Vahdat is a scholar working on Statistical and Nonlinear Physics, Computational Theory and Mathematics and Geometry and Topology, having authored 6 papers that have together received 743 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (6 papers), Topological and Geometric Data Analysis (2 papers) and Opinion Dynamics and Social Influence (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (431 citations), Computational Theory and Mathematics (168 citations) and Mathematical Physics (77 citations). Amin Vahdat has collaborated with scholars based in United States, Spain and Cyprus. Frequent co-authors include Dmitri Krioukov, Fragkiskos Papadopoulos, Marián Boguñá, Maksim Kitsak, Kevin Fall and Priya Mahadevan. Their work appears in journals such as ACM SIGMETRICS Performance Evaluation Review and Physical Review E.
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.