Ana P. Millán

37 total papers · 723 total citations
15 papers, 399 citations indexed

About

Ana P. Millán is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Computer Networks and Communications. According to data from OpenAlex, Ana P. Millán has authored 15 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 4 papers in Psychiatry and Mental health and 3 papers in Computer Networks and Communications. Recurrent topics in Ana P. Millán's work include Neural dynamics and brain function (7 papers), Functional Brain Connectivity Studies (6 papers) and Nonlinear Dynamics and Pattern Formation (3 papers). Ana P. Millán is often cited by papers focused on Neural dynamics and brain function (7 papers), Functional Brain Connectivity Studies (6 papers) and Nonlinear Dynamics and Pattern Formation (3 papers). Ana P. Millán collaborates with scholars based in Spain, Netherlands and United Kingdom. Ana P. Millán's co-authors include Joaquı́n J. Torres, Ginestra Bianconi, Cornelis J. Stam, Arjan Hillebrand, Elisabeth C.W. van Straaten, Ida A. Nissen, Joaquín Marro, Piet Van Mieghem, Sander Idema and Nicolò Defenu and has published in prestigious journals such as Physical Review Letters, Brain and Scientific Reports.

In The Last Decade

Ana P. Millán

15 papers receiving 388 citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ana P. Millán	165	149	137	49	48	15	399
Nikos E. Kouvaris	256 1.6×	74 0.5×	241 1.8×	28 0.6×	47 1.0×	19	441
Alice Patania	192 1.2×	115 0.8×	47 0.3×	64 1.3×	69 1.4×	13	406
Atiyeh Bayani	260 1.6×	68 0.5×	159 1.2×	12 0.2×	22 0.5×	18	358
Paul C. Gailey	175 1.1×	154 1.0×	85 0.6×	25 0.5×	87 1.8×	16	401
Francesco Alderisio	34 0.2×	140 0.9×	193 1.4×	20 0.4×	13 0.3×	17	395
Ivan Bonamassa	298 1.8×	79 0.5×	161 1.2×	21 0.4×	58 1.2×	18	437
Javier Baladron	88 0.5×	202 1.4×	47 0.3×	8 0.2×	19 0.4×	18	343
Takuma Tanaka	66 0.4×	150 1.0×	81 0.6×	32 0.7×	68 1.4×	49	432
Stefan Schinkel	101 0.6×	155 1.0×	67 0.5×	18 0.4×	47 1.0×	10	380
Heidi M. Rockwood	142 0.9×	67 0.4×	215 1.6×	35 0.7×	23 0.5×	9	344

Countries citing papers authored by Ana P. Millán

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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