Ana P. Millán
- Statistical and Nonlinear Physics top 5%
- Cognitive Neuroscience top 10%
- Computer Networks and Communications top 10%
- Molecular Biology
- Biomedical Engineering
- Co-authors
- Joaquı́n J. TorresGinestra BianconiArjan HillebrandCornelis J. StamElisabeth C.W. van StraatenSander IdemaPiet Van MieghemJoaquín Marro
- Topics
- Neural dynamics and brain function (7 papers)Functional Brain Connectivity Studies (6 papers)Neural Networks and Applications (3 papers)
- Cited by
- Statistical and Nonlinear PhysicsCognitive NeuroscienceComputer Networks and Communications
- Partner nations
- SpainNetherlandsUnited Kingdom
In The Last Decade
Ana P. Millán
15 papers receiving 397 citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Statistical and Nonlinear Physics 168
- Cognitive Neuroscience 154
- Computer Networks and Communications 137
- Molecular Biology 50
- Biomedical Engineering 49
Countries citing papers authored by Ana P. Millán
This map shows the geographic impact of Ana P. Millán'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 Ana P. Millán with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ana P. Millán more than expected).
Fields of papers citing papers by Ana P. Millán
This network shows the impact of papers produced by Ana P. Millán. 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 Ana P. Millán. The network helps show where Ana P. Millán may publish in the future.
Co-authorship network of co-authors of Ana P. Millán
This figure shows the co-authorship network connecting the top 25 collaborators of Ana P. Millán. A scholar is included among the top collaborators of Ana P. Millán 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 Ana P. Millán. Ana P. Millán is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Topology shapes dynamics of higher-order networksbreakdown → | 19 |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 3 | |
| 5 | 33 | |
| 6 | 3 | |
| 7 | 15 | |
| 8 | 2 | |
| 9 | 15 | |
| 10 | 16 | |
| 11 | 7 | |
| 12 | 194 | |
| 13 | 42 | |
| 14 | 44 | |
| 15 | 8 |
About Ana P. Millán
Ana P. Millán is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Statistical and Nonlinear Physics, having authored 15 papers that have together received 409 indexed citations. Recurring topics across this work include Neural dynamics and brain function (7 papers), Functional Brain Connectivity Studies (6 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (168 citations), Cognitive Neuroscience (154 citations) and Computer Networks and Communications (137 citations). Ana P. Millán has collaborated with scholars based in Spain, Netherlands and United Kingdom. Frequent co-authors include Joaquı́n J. Torres, Ginestra Bianconi, Arjan Hillebrand, Cornelis J. Stam, Elisabeth C.W. van Straaten, Sander Idema, Piet Van Mieghem, Joaquín Marro, Ida A. Nissen and Sandeep S.V. Golla. Their work appears in journals such as Physical Review Letters, Brain and Scientific Reports.
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.