Nicola Moccaldi

120 total papers · 1.4k total citations
74 papers, 820 citations indexed

About

Nicola Moccaldi is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Nicola Moccaldi has authored 74 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Cognitive Neuroscience, 22 papers in Biomedical Engineering and 20 papers in Electrical and Electronic Engineering. Recurrent topics in Nicola Moccaldi's work include EEG and Brain-Computer Interfaces (37 papers), Heart Rate Variability and Autonomic Control (12 papers) and Neuroscience and Neural Engineering (11 papers). Nicola Moccaldi is often cited by papers focused on EEG and Brain-Computer Interfaces (37 papers), Heart Rate Variability and Autonomic Control (12 papers) and Neuroscience and Neural Engineering (11 papers). Nicola Moccaldi collaborates with scholars based in Italy, Uzbekistan and United States. Nicola Moccaldi's co-authors include Pasquale Arpaïa, Andrea Apicella, Leopoldo Angrisani, Antonio Espósito, Roberto Prevete, Luigi Duraccio, Silvia Rossi, Annarita Tedesco, Giovanni D’Errico and Lucio Tommaso De Paolis and has published in prestigious journals such as Scientific Reports, IEEE Access and Sensors.

In The Last Decade

Nicola Moccaldi

63 papers receiving 804 citations

Author Peers

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

Author Last Decade Papers Cites
Nicola Moccaldi 418 152 139 125 116 74 820
Norizam Sulaiman 610 1.5× 103 0.7× 97 0.7× 90 0.7× 131 1.1× 70 892
Shi‐An Chen 324 0.8× 100 0.7× 189 1.4× 120 1.0× 90 0.8× 58 931
D. N. Tibarewala 505 1.2× 122 0.8× 92 0.7× 203 1.6× 176 1.5× 65 746
Jung‐Tai King 452 1.1× 88 0.6× 67 0.5× 115 0.9× 113 1.0× 39 746
José Manuel Ferrández 407 1.0× 114 0.8× 154 1.1× 70 0.6× 189 1.6× 105 1.0k
Qisong Wang 374 0.9× 178 1.2× 117 0.8× 80 0.6× 61 0.5× 80 834
Yuliang Ma 517 1.2× 135 0.9× 86 0.6× 84 0.7× 92 0.8× 51 817
Yodchanan Wongsawat 552 1.3× 125 0.8× 46 0.3× 121 1.0× 163 1.4× 108 887
Ding-Yu Fei 469 1.1× 194 1.3× 101 0.7× 150 1.2× 273 2.4× 44 944
Kiran George 285 0.7× 119 0.8× 165 1.2× 156 1.2× 80 0.7× 126 755

Countries citing papers authored by Nicola Moccaldi

Since Specialization
Citations

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

Fields of papers citing papers by Nicola Moccaldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicola Moccaldi

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