Giulia Cisotto

749 citations
36 papers · 394 indexed · h-index 10

Impact in

Papers in

Giulia Cisotto

29 papers receiving 380 citations

Peers

Giulia Cisotto
Comparison fields: 5 of 72
  • Cognitive Neuroscience 193
  • Human-Computer Interaction 39
  • Cellular and Molecular Neuroscience 99
  • Computer Networks and Communications 97
  • Rehabilitation 27
Replace Antonio Díaz Estrella with:
Antonio Díaz Estrella Spain
Schekeb Fateh Switzerland
Vaibhav Gandhi United Kingdom
Bouraoui Ouni Tunisia
Fakhreddine Ghaffari France
Eduardo Parente Ribeiro Brazil
Paul McIsaac Australia
Michał Podpora Poland
Sarah N. Abdulkader Egypt
Yaoru Sun China
Giulia Cisotto relative to Antonio Díaz Estrella Spain Antonio Díaz Estrella's profile →
Citations per field
00.5×4.1×
Antonio Díaz Estrella · 1×
Citations per year

Countries citing papers authored by Giulia Cisotto

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Cisotto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20244
2 20240
3 20240
4 20241
5 20244
6 20235
7 20229
8 20224
9 20219
10
NoBis: A Crowd Monitoring Service Against COVID-19.
20210
11 202112
12 20204
13 20202
14 20193
15 201823
16
Abnormal electroencephalographic oscillations in β and low γ bands in patients with writer’s cramp
20170
17 20143
18 20135
19 20133
20 2011153

About Giulia Cisotto

Giulia Cisotto is a scholar working on Human-Computer Interaction, Cognitive Neuroscience, Computer Networks and Communications, Cellular and Molecular Neuroscience and Biomedical Engineering, having authored 36 papers that have together received 394 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (16 papers), Neuroscience and Neural Engineering (8 papers), Age of Information Optimization (7 papers), Muscle activation and electromyography studies (6 papers), Neural dynamics and brain function (5 papers), Gaze Tracking and Assistive Technology (5 papers), IoT Networks and Protocols (5 papers) and Wireless Body Area Networks (4 papers). The work is most often cited by research in Cognitive Neuroscience (193 citations), Human-Computer Interaction (39 citations), Cellular and Molecular Neuroscience (99 citations), Computer Networks and Communications (97 citations) and Rehabilitation (27 citations). Giulia Cisotto has collaborated with scholars based in Italy, Japan and Germany. Frequent co-authors include Leonardo Badia, Marianna Cavinato, Francesco Piccione, Ander Ramos‐Murguialday, Chiara Volpato, Andrea Turolla, Stefano Silvoni, Niels Birbaumer, Stefano Tomasin and Silvano Pupolin. Their work appears in journals such as Ad Hoc Networks, Scientific Reports, IEEE Wireless Communications, Computer Communications and PeerJ Computer Science.

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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