Chiara Barà

416 citations
34 papers · 219 · h-index 10

Impact in

Papers in

Chiara Barà

25 papers receiving 213 citations

Peers

Chiara Barà
Comparison fields: 5 of 51
  • Cognitive Neuroscience 89
  • Cardiology and Cardiovascular Medicine 83
  • Statistical and Nonlinear Physics 21
  • Experimental and Cognitive Psychology 18
  • Biomedical Engineering 45
Replace Laura Sparacino with:
Laura Sparacino Italy
Chang Yan China
Argentina Leite Portugal
Milena Čukić Serbia
Anton M. Unakafov Germany
Jakub Kopál Canada
Marta Żarczyńska-Buchowiecka Poland
Britta Pester Germany
David Mayor United Kingdom
Patrick A. Stokes United States
Chiara Barà relative to Laura Sparacino Italy Laura Sparacino's profile →
Citations per field
00.5×1.6×
Laura Sparacino · 1×
Citations per year

Countries citing papers authored by Chiara Barà

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Barà

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chiara Barà, 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 Chiara Barà Line = papers co-authored together Chiara Barà links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
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10 20239
11 20249
12 20227
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About Chiara Barà

Chiara Barà is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, Biomedical Engineering, Statistical and Nonlinear Physics and Economics and Econometrics, having authored 34 papers that have together received 219 indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (22 papers), Non-Invasive Vital Sign Monitoring (11 papers), EEG and Brain-Computer Interfaces (10 papers), Neural dynamics and brain function (8 papers), Functional Brain Connectivity Studies (7 papers), Chaos control and synchronization (4 papers), Complex Systems and Time Series Analysis (4 papers) and Cardiovascular Health and Disease Prevention (2 papers). The work is most often cited by research in Cognitive Neuroscience (89 citations), Cardiology and Cardiovascular Medicine (83 citations), Statistical and Nonlinear Physics (21 citations), Experimental and Cognitive Psychology (18 citations) and Biomedical Engineering (45 citations). Chiara Barà has collaborated with scholars based in Italy, Serbia and Slovakia. Frequent co-authors include Luca Faes, Riccardo Pernice, Yuri Antonacci, Laura Sparacino, Alberto Porta, Alfonso Mastropietro, Alessandro Busacca, Ileana Pirovano, Michal Javorka and Sebastiano Stramaglia. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Journal of Applied Biomedicine, The European Physical Journal Special Topics, IEEE Open Journal of Engineering in Medicine and Biology and IEEE Transactions on Neural Systems and Rehabilitation Engineering.

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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