Mathew Salvaris

31 total papers · 1.0k total citations
15 papers, 309 citations indexed

About

Mathew Salvaris is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Signal Processing. According to data from OpenAlex, Mathew Salvaris has authored 15 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Signal Processing. Recurrent topics in Mathew Salvaris's work include EEG and Brain-Computer Interfaces (12 papers), Neural dynamics and brain function (10 papers) and Neuroscience and Neural Engineering (4 papers). Mathew Salvaris is often cited by papers focused on EEG and Brain-Computer Interfaces (12 papers), Neural dynamics and brain function (10 papers) and Neuroscience and Neural Engineering (4 papers). Mathew Salvaris collaborates with scholars based in United Kingdom and United States. Mathew Salvaris's co-authors include Francisco Sepulveda, Riccardo Poli, Patrick Haggard, Caterina Cinel, Luca Citi, Wee Hyong Tok, Danielle Dean, Archna Bhatia and Sharat Chikkerur and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Neural Systems and Rehabilitation Engineering and Journal of Neural Engineering.

In The Last Decade

Mathew Salvaris

14 papers receiving 300 citations

Author Peers

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

Author Last Decade Papers Cites
Mathew Salvaris 272 137 74 65 43 15 309
Aravind Ravi 239 0.9× 152 1.1× 42 0.6× 80 1.2× 49 1.1× 24 306
Xuelin Ma 332 1.2× 122 0.9× 78 1.1× 96 1.5× 57 1.3× 13 362
Nupur Chugh 280 1.0× 120 0.9× 39 0.5× 71 1.1× 47 1.1× 8 321
David Achanccaray 236 0.9× 108 0.8× 83 1.1× 67 1.0× 24 0.6× 23 281
Jeroen Geuze 312 1.1× 140 1.0× 62 0.8× 49 0.8× 32 0.7× 6 328
Hongfei Ji 237 0.9× 118 0.9× 87 1.2× 41 0.6× 28 0.7× 22 309
Thorir Mar Ingolfsson 245 0.9× 84 0.6× 46 0.6× 93 1.4× 58 1.3× 19 326
Yar Muhammad 221 0.8× 89 0.6× 59 0.8× 65 1.0× 36 0.8× 13 320
Timothy Zeyl 284 1.0× 159 1.2× 75 1.0× 74 1.1× 40 0.9× 13 349
Yang Liu 246 0.9× 86 0.6× 51 0.7× 47 0.7× 56 1.3× 30 309

Countries citing papers authored by Mathew Salvaris

Since Specialization
Citations

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

Fields of papers citing papers by Mathew Salvaris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathew Salvaris

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