Neda Bernasconi

10.1k citations
101 papers · 5.9k indexed · 1 hit paper · h-index 45
Topics
Epilepsy research and treatment (62 papers)Functional Brain Connectivity Studies (43 papers)Neuroscience and Neuropharmacology Research (32 papers)

In The Last Decade

Neda Bernasconi

99 papers receiving 5.8k citations

Hit Papers

Recommendations for the use of structural magnetic resona...2019202620212023201950100150200250

Peers

Neda Bernasconi
Comparison fields: 5 of 117
  • Psychiatry and Mental health 3.3k
  • Cognitive Neuroscience 3.1k
  • Radiology, Nuclear Medicine and Imaging 2.1k
  • Cellular and Molecular Neuroscience 1.9k
  • Pediatrics, Perinatology and Child Health 1.3k
Replace Maxime Guye with:
Maxime Guye France
Eishi Asano United States
Kenneth D. Laxer United States
Jorge González-Martínez United States
Claude Adam France
Alois Ebner Germany
Andrew W. McEvoy United Kingdom
Beate Diehl United Kingdom
Luis Concha Mexico
Serge Vulliémoz Switzerland
Neda Bernasconi relative to Maxime Guye France Maxime Guye's profile →
Citations per field
00.5×1.5×1.9×
Maxime Guye · 1×
Citations per year

Countries citing papers authored by Neda Bernasconi

Since Specialization
Citations

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

Fields of papers citing papers by Neda Bernasconi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neda Bernasconi

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 6
3 1
4 6
5 20
6 1
7 8
8 49
9 14
10 6
11 35
12 165
13 68
14 5
15 197
16 133
17 32
18 36
19 58
20 110

About Neda Bernasconi

Neda Bernasconi is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 101 papers that have together received 5.9k indexed citations. Recurring topics across this work include Epilepsy research and treatment (62 papers), Functional Brain Connectivity Studies (43 papers) and Neuroscience and Neuropharmacology Research (32 papers). The work is most often cited by research in Psychiatry and Mental health (3.3k citations), Cognitive Neuroscience (3.1k citations) and Cellular and Molecular Neuroscience (1.9k citations). Neda Bernasconi has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Andrea Bernasconi, Boris C. Bernhardt, Alan C. Evans, Seok‐Jun Hong, Hosung Kim, Frédérick Andermann, Luis Concha, Dewi Schrader, François Dubeau and Keith J. Worsley. Their work appears in journals such as Proceedings of the National Academy of Sciences, NeuroImage and Brain.

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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