Sina Shirinpour

788 citations
24 papers · 430 indexed · h-index 12
Topics
Transcranial Magnetic Stimulation Studies (13 papers)Functional Brain Connectivity Studies (11 papers)EEG and Brain-Computer Interfaces (10 papers)

In The Last Decade

Sina Shirinpour

23 papers receiving 428 citations

Peers

Sina Shirinpour
Comparison fields: 5 of 63
  • Cognitive Neuroscience 287
  • Neurology 213
  • Cellular and Molecular Neuroscience 107
  • Biomedical Engineering 59
  • Physiology 37
Replace Paula Davila-Pérez with:
Paula Davila-Pérez Spain
Peter Höller Austria
Fabio Vallone Italy
Federica Giambattistelli Italy
P. Bocquillon France
Chloé Stengel France
Zeinab Esmaeilpour United States
Harleen Chhabra India
Mayank Jog United States
K. Torquati Italy
Sina Shirinpour relative to Paula Davila-Pérez Spain Paula Davila-Pérez's profile →
Citations per field
00.5×1.5×2.0×
Paula Davila-Pérez · 1×
Citations per year

Countries citing papers authored by Sina Shirinpour

Since Specialization
Citations

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

Fields of papers citing papers by Sina Shirinpour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sina Shirinpour

This figure shows the co-authorship network connecting the top 25 collaborators of Sina Shirinpour. A scholar is included among the top collaborators of Sina Shirinpour 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 Sina Shirinpour. Sina Shirinpour 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 1
2 1
3 1
4 23
5 18
6 4
7 3
8 7
9 5
10 1
11 55
12 18
13 27
14 29
15 18
16 2
17 32
18 78
19 13
20 19

About Sina Shirinpour

Sina Shirinpour is a scholar working on Neurology, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 24 papers that have together received 430 indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (13 papers), Functional Brain Connectivity Studies (11 papers) and EEG and Brain-Computer Interfaces (10 papers). The work is most often cited by research in Neurology (213 citations), Cognitive Neuroscience (287 citations) and Cellular and Molecular Neuroscience (107 citations). Sina Shirinpour has collaborated with scholars based in United States, Netherlands and Denmark. Frequent co-authors include Alexander Opitz, Ivan Alekseichuk, Miles Wischnewski, Bin He, Peter Jedlička, Andreas Vlachos, Stephen C. Nelson, Kalpna Gupta, Samuel T. Nemanich and Zsolt Turi. Their work appears in journals such as Nature Communications, Journal of Neuroscience and NeuroImage.

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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