Chiara Barà

416 citations
31 papers · 212 · h-index 10

Impact in

Papers in

Chiara Barà

24 papers receiving 206 citations

Peers

Chiara Barà
Comparison fields: 5 of 50
  • Cognitive Neuroscience 85
  • Cardiology and Cardiovascular Medicine 78
  • Statistical and Nonlinear Physics 21
  • Experimental and Cognitive Psychology 16
  • Economics and Econometrics 28
Replace Milena Čukić with:
Milena Čukić Serbia
Argentina Leite Portugal
Jakub Kopál Canada
Mayumi Oyama-Higa Japan
Martin Bachler Austria
Marta Żarczyńska-Buchowiecka Poland
Aviv A. Rosenberg Israel
Ninah Koolen Belgium
R.W.M. Keunen Netherlands
S. A. Tupputi Italy
Chiara Barà relative to Milena Čukić Serbia Milena Čukić's profile →
Citations per field
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Milena Čukić · 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 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202240
2 202223
3 202317
4 202216
5 202413
6 202313
7 202412
8 202412
9 202311
10 20239
11 20249
12 20227
13 20235
14 20234
15 20233
16 20243
17 20223
18 20252
19 20242
20 20252

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 31 papers that have together received 212 indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (20 papers), Non-Invasive Vital Sign Monitoring (10 papers), EEG and Brain-Computer Interfaces (8 papers), Neural dynamics and brain function (7 papers), Functional Brain Connectivity Studies (6 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 (85 citations), Cardiology and Cardiovascular Medicine (78 citations), Statistical and Nonlinear Physics (21 citations), Experimental and Cognitive Psychology (16 citations) and Economics and Econometrics (28 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, Ileana Pirovano, Alessandro Busacca, Gorana Mijatović and Andrea Zaccaro. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Frontiers in Physiology, Chaos An Interdisciplinary Journal of Nonlinear Science, Biosensors and Journal of Neural 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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