Daniela Cardone

2.5k citations
89 papers · 1.9k · h-index 27

Impact in

Papers in

Daniela Cardone

82 papers receiving 1.9k citations

Peers

Daniela Cardone
Comparison fields: 5 of 138
  • Radiology, Nuclear Medicine and Imaging 735
  • Sensory Systems 116
  • Experimental and Cognitive Psychology 320
  • Social Psychology 373
  • Cognitive Neuroscience 333
Replace Matthew P. Kirschen with:
Matthew P. Kirschen United States
Hiroki Nakata Japan
Antonio Maria Chiarelli Italy
David Perpetuini Italy
Ilias Tachtsidis United Kingdom
Chiara Filippini Italy
Juha‐Pekka Niskanen Finland
Craig A. Moodie United States
Dai-Seg Bai South Korea
Patrizia Bisiacchi Italy
Daniela Cardone relative to Matthew P. Kirschen United States Matthew P. Kirschen's profile →
Citations per field
00.5×3.6×
Matthew P. Kirschen · 1×
Citations per year

Countries citing papers authored by Daniela Cardone

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Cardone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011122
2 2014116
3 201394
4 201385
5 201783
6 202080
7 202152
8 202049
9 201548
10 201647
11 201545
12 202043
13 202142
14 201542
15 202041
16 202040
17 201939
18 202237
19 202132
20 201930

About Daniela Cardone

Daniela Cardone is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Cardiology and Cardiovascular Medicine, Social Psychology and Cognitive Neuroscience, having authored 89 papers that have together received 1.9k indexed citations. Recurring topics across this work include Infrared Thermography in Medicine (34 papers), Non-Invasive Vital Sign Monitoring (17 papers), Heart Rate Variability and Autonomic Control (17 papers), Thermoregulation and physiological responses (11 papers), Optical Imaging and Spectroscopy Techniques (8 papers), EEG and Brain-Computer Interfaces (6 papers), Stroke Rehabilitation and Recovery (6 papers) and Emotion and Mood Recognition (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (735 citations), Sensory Systems (116 citations), Experimental and Cognitive Psychology (320 citations), Social Psychology (373 citations) and Cognitive Neuroscience (333 citations). Daniela Cardone has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Arcangelo Merla, David Perpetuini, Chiara Filippini, Antonio Maria Chiarelli, Tiziana Aureli, D. Bafunno, Sjoerd Ebisch, Paola Pinti, Gian Luca Romani and Barbara Manini. Their work appears in journals such as Sensors, Applied Sciences, Scientific Reports, International Journal of Environmental Research and Public Health and PeerJ.

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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