Julia Berzhanskaya

425 citations
12 papers · 313 indexed · h-index 8
Topics
Neural dynamics and brain function (5 papers)Visual perception and processing mechanisms (5 papers)Advanced Vision and Imaging (3 papers)
Partner nations
United States

In The Last Decade

Julia Berzhanskaya

12 papers receiving 313 citations

Peers

Julia Berzhanskaya
Comparison fields: 5 of 49
  • Cognitive Neuroscience 270
  • Cellular and Molecular Neuroscience 130
  • Genetics 53
  • Molecular Biology 42
  • Computer Vision and Pattern Recognition 42
Replace Claudio Moretti with:
Claudio Moretti Italy
Seymour Knowles-Barley United States
David G. Jones Canada
Samuel A. Ellias United States
Jacob Duijnhouwer Netherlands
Pablo Martínez‐Cañada Spain
Yasmine El-Shamayleh United States
Angus Chadwick United Kingdom
Maxwell H. Turner United States
Jonathan Cannon United States
Julia Berzhanskaya relative to Claudio Moretti Italy Claudio Moretti's profile →
Citations per field
00.5×
Claudio Moretti · 1×
Citations per year

Countries citing papers authored by Julia Berzhanskaya

Since Specialization
Citations

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

Fields of papers citing papers by Julia Berzhanskaya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Berzhanskaya

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Berzhanskaya. A scholar is included among the top collaborators of Julia Berzhanskaya 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 Berzhanskaya. Julia Berzhanskaya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 36
2 30
3 40
4 1
5 6
6 1
7 73
8 11
9 48
10 10
11 2
12 55

About Julia Berzhanskaya

Julia Berzhanskaya is a scholar working on Cognitive Neuroscience, Computer Graphics and Computer-Aided Design and Developmental Neuroscience, having authored 12 papers that have together received 313 indexed citations. Recurring topics across this work include Neural dynamics and brain function (5 papers), Visual perception and processing mechanisms (5 papers) and Advanced Vision and Imaging (3 papers). The work is most often cited by research in Cognitive Neuroscience (270 citations), Cellular and Molecular Neuroscience (130 citations) and Developmental Neuroscience (10 citations). Julia Berzhanskaya has collaborated with scholars based in United States. Frequent co-authors include Ennio Mingolla, Stephen Grossberg, Nathaniel N. Urban, Germán Barrionuevo, Marnie A. Phillips, Matthew T. Colonnese, Jacob Beck, Steven J. Schiff, Swaminathan Gurumurthy and Giorgio A. Ascoli. Their work appears in journals such as Journal of Neurophysiology, Scientific Reports and Cerebral Cortex.

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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