M. Ángeles Serrano
- Statistical and Nonlinear Physics top 0.1%
- Molecular Biology
- Cognitive Neuroscience top 5%
- Economics and Econometrics top 2%
- Computational Theory and Mathematics top 1%
- Co-authors
- Marián BoguñáAlessandro VespignaniAlessandro FlamminiDmitri KrioukovVittoria ColizzaFragkiskos PapadopoulosGuillermo García-PérezMaksim Kitsak
- Topics
- Complex Network Analysis Techniques (47 papers)Opinion Dynamics and Social Influence (30 papers)Topological and Geometric Data Analysis (14 papers)
- Cited by
- Statistical and Nonlinear PhysicsModeling and SimulationComputational Theory and Mathematics
- Partner nations
- SpainUnited StatesItaly
In The Last Decade
M. Ángeles Serrano
67 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Statistical and Nonlinear Physics 2.7k
- Molecular Biology 568
- Cognitive Neuroscience 492
- Economics and Econometrics 476
- Computational Theory and Mathematics 457
Countries citing papers authored by M. Ángeles Serrano
This map shows the geographic impact of M. Ángeles Serrano'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 M. Ángeles Serrano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Ángeles Serrano more than expected).
Fields of papers citing papers by M. Ángeles Serrano
This network shows the impact of papers produced by M. Ángeles Serrano. 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 M. Ángeles Serrano. The network helps show where M. Ángeles Serrano may publish in the future.
Co-authorship network of co-authors of M. Ángeles Serrano
This figure shows the co-authorship network connecting the top 25 collaborators of M. Ángeles Serrano. A scholar is included among the top collaborators of M. Ángeles Serrano 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 M. Ángeles Serrano. M. Ángeles Serrano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 13 | |
| 9 | 12 | |
| 10 | 31 | |
| 11 | 59 | |
| 12 | 17 | |
| 13 | Geometric origins of self-similarity in the evolution of real networks | 2 |
| 14 | Navigability of temporal networks in hyperbolic space | 15 |
| 15 | 40 | |
| 16 | 7 | |
| 17 | 5 | |
| 18 | 12 | |
| 19 | 86 | |
| 20 | 65 |
About M. Ángeles Serrano
M. Ángeles Serrano is a scholar working on Statistical and Nonlinear Physics, Computational Theory and Mathematics and Mathematical Physics, having authored 69 papers that have together received 4.2k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (47 papers), Opinion Dynamics and Social Influence (30 papers) and Topological and Geometric Data Analysis (14 papers). The work is most often cited by research in Statistical and Nonlinear Physics (2.7k citations), Modeling and Simulation (175 citations) and Computational Theory and Mathematics (457 citations). M. Ángeles Serrano has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Marián Boguñá, Alessandro Vespignani, Alessandro Flammini, Dmitri Krioukov, Vittoria Colizza, Fragkiskos Papadopoulos, Guillermo García-Pérez, Maksim Kitsak, Antoine Allard and Vı́ctor M. Eguı́luz. 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.