Shlomo Havlin
- Statistical and Nonlinear Physics top 0.01%
- Economics and Econometrics top 0.02%
- Molecular Biology top 0.5%
- Condensed Matter Physics top 0.05%
- Computer Networks and Communications top 0.05%
- Co-authors
- H. Eugene StanleySergey V. BuldyrevDaniel ben‐AvrahamReuven CohenAry L. GoldbergerChung‐Kang PengHernán A. MakseArmin Bunde
- Topics
- Complex Network Analysis Techniques (264 papers)Theoretical and Computational Physics (261 papers)Stochastic processes and statistical mechanics (178 papers)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Shlomo Havlin
689 papers receiving 55.1k citations
Hit Papers
Peers
Comparison fields: 5 of 228
- Statistical and Nonlinear Physics 27.3k
- Economics and Econometrics 11.6k
- Molecular Biology 9.6k
- Condensed Matter Physics 8.6k
- Computer Networks and Communications 7.5k
Countries citing papers authored by Shlomo Havlin
This map shows the geographic impact of Shlomo 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 Shlomo Havlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shlomo Havlin more than expected).
Fields of papers citing papers by Shlomo Havlin
This network shows the impact of papers produced by Shlomo 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 Shlomo Havlin. The network helps show where Shlomo Havlin may publish in the future.
Co-authorship network of co-authors of Shlomo Havlin
This figure shows the co-authorship network connecting the top 25 collaborators of Shlomo Havlin. A scholar is included among the top collaborators of Shlomo 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 Shlomo Havlin. Shlomo 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 | 1 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 15 | |
| 5 | 10 | |
| 6 | 10 | |
| 7 | 6 | |
| 8 | 27 | |
| 9 | 47 | |
| 10 | 18 | |
| 11 | 9 | |
| 12 | 6 | |
| 13 | 20 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 7 | |
| 17 | Assortativity and leadership emerge from anti-preferential attachment in heterogeneous networks | 13 |
| 18 | Communication activity: temporal correlations, clustering, and growth | 2 |
| 19 | Power-law persistence in the atmosphere: A detailed study of long temperature records | 7 |
| 20 | Ultra Small World in Scale-Free Networks | 5 |
About Shlomo Havlin
Shlomo Havlin is a scholar working on Statistical and Nonlinear Physics, Condensed Matter Physics and Mathematical Physics, having authored 704 papers that have together received 57.1k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (264 papers), Theoretical and Computational Physics (261 papers) and Stochastic processes and statistical mechanics (178 papers). The work is most often cited by research in Statistical and Nonlinear Physics (27.3k citations), Condensed Matter Physics (8.6k citations) and Mathematical Physics (5.0k citations). Shlomo Havlin has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include H. Eugene Stanley, Sergey V. Buldyrev, Daniel ben‐Avraham, Reuven Cohen, Ary L. Goldberger, Chung‐Kang Peng, Hernán A. Makse, Armin Bunde, Michael Simons and Roni Parshani. Their work appears in journals such as Nature, 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.