Julia Makarova

49 total papers · 951 total citations
29 papers, 642 citations indexed

About

Julia Makarova is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Signal Processing. According to data from OpenAlex, Julia Makarova has authored 29 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cognitive Neuroscience, 22 papers in Cellular and Molecular Neuroscience and 5 papers in Signal Processing. Recurrent topics in Julia Makarova's work include Neural dynamics and brain function (24 papers), Neuroscience and Neuropharmacology Research (18 papers) and Neuroscience and Neural Engineering (14 papers). Julia Makarova is often cited by papers focused on Neural dynamics and brain function (24 papers), Neuroscience and Neuropharmacology Research (18 papers) and Neuroscience and Neural Engineering (14 papers). Julia Makarova collaborates with scholars based in Spain, Russia and France. Julia Makarova's co-authors include Óscar Herreras, Valeri A. Makarov, Nuria Benito, J. M. Ibarz, Gonzalo Martín-Vázquez, Santiago Canals, Antonio Fernández‐Ruiz, Fivos Panetsos, L. López-Aguado and А. Н. Павлов and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Julia Makarova

27 papers receiving 638 citations

Author Peers

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

Author Last Decade Papers Cites
Julia Makarova 500 417 75 53 47 29 642
H. Pockberger 435 0.9× 365 0.9× 115 1.5× 35 0.7× 92 2.0× 28 666
Avgis Hadjipapas 680 1.4× 229 0.5× 21 0.3× 58 1.1× 30 0.6× 29 750
Albert R. Haig 700 1.4× 210 0.5× 57 0.8× 21 0.4× 55 1.2× 21 757
Samuel P. Burns 561 1.1× 276 0.7× 25 0.3× 33 0.6× 64 1.4× 11 622
J. M. Ibarz 344 0.7× 456 1.1× 148 2.0× 13 0.2× 93 2.0× 15 580
Peter Van Hese 395 0.8× 150 0.4× 45 0.6× 101 1.9× 72 1.5× 48 613
R. H. Jindra 453 0.9× 164 0.4× 44 0.6× 30 0.6× 62 1.3× 14 742
James Kozloski 349 0.7× 322 0.8× 129 1.7× 13 0.2× 16 0.3× 43 743
Baktash Babadi 482 1.0× 356 0.9× 51 0.7× 19 0.4× 15 0.3× 16 679
Limin Sun 419 0.8× 139 0.3× 110 1.5× 17 0.3× 86 1.8× 35 695

Countries citing papers authored by Julia Makarova

Since Specialization
Citations

This map shows the geographic impact of Julia Makarova'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 Julia Makarova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Makarova more than expected).

Fields of papers citing papers by Julia Makarova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia Makarova. 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 Julia Makarova. The network helps show where Julia Makarova may publish in the future.

Co-authorship network of co-authors of Julia Makarova

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Makarova. A scholar is included among the top collaborators of Julia Makarova 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 Julia Makarova. Julia Makarova 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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