S. Havlin
- Statistical and Nonlinear Physics top 2%
- Computer Networks and Communications top 10%
- Civil and Structural Engineering
- Sociology and Political Science
- Modeling and Simulation top 5%
- Co-authors
- H. Eugene StanleyMark E. DickisonDaniele IetriCéline RozenblatCésar DucruetReuven CohenRoni ParshaniSergey V. Buldyrev
- Topics
- Complex Network Analysis Techniques (4 papers)Opinion Dynamics and Social Influence (4 papers)Polynomial and algebraic computation (1 paper)
- Cited by
- Statistical and Nonlinear PhysicsModeling and SimulationComputer Networks and Communications
- Journals
- Journal of Mathematical Analysis and ApplicationsEurophysics Letters (EPL)Journal of Mathematical Physics
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
S. Havlin
8 papers receiving 439 citations
Peers
Comparison fields: 5 of 69
- Statistical and Nonlinear Physics 349
- Computer Networks and Communications 84
- Civil and Structural Engineering 54
- Sociology and Political Science 51
- Modeling and Simulation 48
Countries citing papers authored by S. Havlin
This map shows the geographic impact of S. Havlin'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 S. Havlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Havlin more than expected).
Fields of papers citing papers by S. Havlin
This network shows the impact of papers produced by S. Havlin. 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 S. Havlin. The network helps show where S. Havlin may publish in the future.
Co-authorship network of co-authors of S. Havlin
This figure shows the co-authorship network connecting the top 25 collaborators of S. Havlin. A scholar is included among the top collaborators of S. Havlin 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 S. Havlin. S. Havlin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Inter-similarity between coupled networks | 201 |
| 2 | 196 | |
| 3 | 1 | |
| 4 | 29 | |
| 5 | Prediction of Oil Production Conditioned on the Breakthrough Time | 2 |
| 6 | 17 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 4 |
About S. Havlin
S. Havlin is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation and Mathematical Physics, having authored 9 papers that have together received 451 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (4 papers), Opinion Dynamics and Social Influence (4 papers) and Polynomial and algebraic computation (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (349 citations), Modeling and Simulation (48 citations) and Computer Networks and Communications (84 citations). S. Havlin has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include H. Eugene Stanley, Mark E. Dickison, Daniele Ietri, Céline Rozenblat, César Ducruet, Reuven Cohen, Roni Parshani, Sergey V. Buldyrev, Ascânio D. Araújo and José S. Andrade. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Europhysics Letters (EPL) and Journal of Mathematical Physics.
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.