Yuri Antonacci

1.1k citations
50 papers · 533 · h-index 14

Impact in

Papers in

Yuri Antonacci

44 papers receiving 521 citations

Peers

Yuri Antonacci
Comparison fields: 5 of 70
  • Cognitive Neuroscience 305
  • Cardiology and Cardiovascular Medicine 122
  • Statistical and Nonlinear Physics 48
  • Experimental and Cognitive Psychology 34
  • Signal Processing 29
Replace Karin Schwab with:
Karin Schwab Germany
Alessandro Montalto Italy
Akinori Iyama Japan
Britta Pester Germany
Robert G. Turcott United States
T. Inouye Japan
Seigo Toi Japan
Laura Sparacino Italy
Сергей Борисов Finland
Tirdad Seifi United Kingdom
Yuri Antonacci relative to Karin Schwab Germany Karin Schwab's profile →
Citations per field
00.5×10×15×18.3×
Karin Schwab · 1×
Citations per year

Countries citing papers authored by Yuri Antonacci

Since Specialization
Citations

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

Fields of papers citing papers by Yuri Antonacci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yuri Antonacci, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yuri Antonacci Line = papers co-authored together Yuri Antonacci links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202383
2 202240
3 202036
4 202126
5 201926
6 202223
7 202121
8 202121
9 202120
10 202117
11 202317
12 202214
13 202314
14 202413
15 202313
16 202413
17 202212
18 201712
19 202311
20 202111

About Yuri Antonacci

Yuri Antonacci is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine, Artificial Intelligence, Biomedical Engineering and Experimental and Cognitive Psychology, having authored 50 papers that have together received 533 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (23 papers), Neural dynamics and brain function (20 papers), Heart Rate Variability and Autonomic Control (20 papers), EEG and Brain-Computer Interfaces (10 papers), Neural Networks and Applications (6 papers), Non-Invasive Vital Sign Monitoring (5 papers), Mental Health Research Topics (5 papers) and Complex Systems and Time Series Analysis (4 papers). The work is most often cited by research in Cognitive Neuroscience (305 citations), Cardiology and Cardiovascular Medicine (122 citations), Statistical and Nonlinear Physics (48 citations), Experimental and Cognitive Psychology (34 citations) and Signal Processing (29 citations). Yuri Antonacci has collaborated with scholars based in Italy, Serbia and Belgium. Frequent co-authors include Luca Faes, Laura Sparacino, Riccardo Pernice, Laura Astolfi, Gorana Mijatović, Chiara Barà, Luca Mesin, Jlenia Toppi, Giandomenico Nollo and Daniele Marinazzo. Their work appears in journals such as Physical review. E, IEEE Transactions on Biomedical Engineering, IEEE Access, IEEE Open Journal of Engineering in Medicine and Biology and PeerJ Computer Science.

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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