Francesco Di Gregorio

882 citations
28 papers · 495 indexed · h-index 12
Topics
EEG and Brain-Computer Interfaces (12 papers)Neural and Behavioral Psychology Studies (11 papers)Neural dynamics and brain function (9 papers)

In The Last Decade

Francesco Di Gregorio

25 papers receiving 490 citations

Peers

Francesco Di Gregorio
Comparison fields: 5 of 75
  • Cognitive Neuroscience 354
  • Experimental and Cognitive Psychology 61
  • Psychiatry and Mental health 50
  • Neurology 46
  • Social Psychology 40
Replace Jana Zweerings with:
Jana Zweerings Germany
Saskia Steinmann Germany
Paul D. Metzak Canada
Feng Zou China
Jeff MacInnes United States
Anna Manelis United States
Lena S. Geiger Germany
Melissa‐Ann Mackie United States
Saee Paliwal Switzerland
Francesco Di Gregorio relative to Jana Zweerings Germany Jana Zweerings's profile →
Citations per field
00.5×
Jana Zweerings · 1×
Citations per year

Countries citing papers authored by Francesco Di Gregorio

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Di Gregorio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francesco Di Gregorio. 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 Francesco Di Gregorio. The network helps show where Francesco Di Gregorio may publish in the future.

Co-authorship network of co-authors of Francesco Di Gregorio

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Di Gregorio. A scholar is included among the top collaborators of Francesco Di Gregorio 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 Francesco Di Gregorio. Francesco Di Gregorio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 2
3 1
4 0
5 20
6 11
7 3
8 10
9 71
10 51
11 78
12 11
13 6
14 31
15 6
16 11
17 7
18 61
19 25
20 1

About Francesco Di Gregorio

Francesco Di Gregorio is a scholar working on Cognitive Neuroscience, General Decision Sciences and Neurology, having authored 28 papers that have together received 495 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (12 papers), Neural and Behavioral Psychology Studies (11 papers) and Neural dynamics and brain function (9 papers). The work is most often cited by research in Cognitive Neuroscience (354 citations), Biological Psychiatry (22 citations) and General Decision Sciences (11 citations). Francesco Di Gregorio has collaborated with scholars based in Italy, Germany and United Kingdom. Frequent co-authors include Martin E. Maier, Vincenzo Romei, Marco Steinhauser, Jelena Trajkovic, Gregor Thut, Simone Battaglia, Alessio Avenanti, Luca Tarasi, Fabio La Porta and Roberto Piperno. Their work appears in journals such as Journal of Neuroscience, NeuroImage and Current Biology.

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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