Lidia A. Braunstein
- Statistical and Nonlinear Physics top 0.2%
- Computer Networks and Communications top 5%
- Modeling and Simulation top 1%
- Condensed Matter Physics top 5%
- Sociology and Political Science top 5%
- Co-authors
- H. Eugene StanleyShlomo HavlinSergey V. BuldyrevP. A. MacriMing TangWei WangCristian E. La RoccaL. D. Valdez
- Topics
- Complex Network Analysis Techniques (66 papers)Opinion Dynamics and Social Influence (49 papers)Theoretical and Computational Physics (35 papers)
- Partner nations
- ArgentinaUnited StatesIsrael
In The Last Decade
Lidia A. Braunstein
89 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Statistical and Nonlinear Physics 1.6k
- Computer Networks and Communications 338
- Modeling and Simulation 306
- Condensed Matter Physics 282
- Sociology and Political Science 269
Countries citing papers authored by Lidia A. Braunstein
This map shows the geographic impact of Lidia A. Braunstein'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 Lidia A. Braunstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lidia A. Braunstein more than expected).
Fields of papers citing papers by Lidia A. Braunstein
This network shows the impact of papers produced by Lidia A. Braunstein. 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 Lidia A. Braunstein. The network helps show where Lidia A. Braunstein may publish in the future.
Co-authorship network of co-authors of Lidia A. Braunstein
This figure shows the co-authorship network connecting the top 25 collaborators of Lidia A. Braunstein. A scholar is included among the top collaborators of Lidia A. Braunstein 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 Lidia A. Braunstein. Lidia A. Braunstein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 27 | |
| 3 | 26 | |
| 4 | 12 | |
| 5 | 27 | |
| 6 | 28 | |
| 7 | 8 | |
| 8 | 79 | |
| 9 | 7 | |
| 10 | Tricritical Point in Correlated Interdependent Networks. | 1 |
| 11 | 9 | |
| 12 | 39 | |
| 13 | 19 | |
| 14 | 26 | |
| 15 | 6 | |
| 16 | 9 | |
| 17 | 41 | |
| 18 | The Optimal Path in an Erd˝ os-Renyi Random Graph | 3 |
| 19 | 15 | |
| 20 | 146 |
About Lidia A. Braunstein
Lidia A. Braunstein is a scholar working on Statistical and Nonlinear Physics, Condensed Matter Physics and Mathematical Physics, having authored 90 papers that have together received 2.3k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (66 papers), Opinion Dynamics and Social Influence (49 papers) and Theoretical and Computational Physics (35 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.6k citations), Modeling and Simulation (306 citations) and Mathematical Physics (233 citations). Lidia A. Braunstein has collaborated with scholars based in Argentina, United States and Israel. Frequent co-authors include H. Eugene Stanley, Shlomo Havlin, Sergey V. Buldyrev, P. A. Macri, Ming Tang, Wei Wang, Cristian E. La Rocca, L. D. Valdez, Zhenhua Wu and Reuven Cohen. Their work appears in journals such as Physical Review Letters, Nature Communications and PLoS ONE.
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.