Sergio Mascetti

1.9k citations
82 papers · 1.1k · h-index 20

Impact in

Papers in

Sergio Mascetti

78 papers receiving 1.1k citations

Peers

Sergio Mascetti
Comparison fields: 5 of 93
  • Human-Computer Interaction 288
  • Human Factors and Ergonomics 96
  • Cognitive Neuroscience 483
  • Computer Science Applications 121
  • Transportation 116
Replace Dragan Ahmetovic with:
Dragan Ahmetovic Italy
João Guerreiro Portugal
Anhong Guo United States
Hugo Paredes Portugal
Hironobu Takagi Japan
Uran Oh South Korea
Cristian Bernareggi Italy
Kent Lyons United States
Koichi Kise Japan
Justin Matejka Canada
Sergio Mascetti relative to Dragan Ahmetovic Italy Dragan Ahmetovic's profile →
Citations per field
00.5×2.7×
Dragan Ahmetovic · 1×
Citations per year

Countries citing papers authored by Sergio Mascetti

Since Specialization
Citations

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

Fields of papers citing papers by Sergio Mascetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010117
2 201953
3 200752
4 201649
5 200949
6 201546
7 201045
8 201544
9 201143
10 201739
11 201538
12 201635
13 201430
14 200730
15 201828
16 201925
17 200723
18 201123
19 200920
20 201819

About Sergio Mascetti

Sergio Mascetti is a scholar working on Cognitive Neuroscience, Human-Computer Interaction, Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Science Applications, having authored 82 papers that have together received 1.1k indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (38 papers), Interactive and Immersive Displays (18 papers), Privacy-Preserving Technologies in Data (16 papers), Gaze Tracking and Assistive Technology (10 papers), Cryptography and Data Security (8 papers), Digital Accessibility for Disabilities (7 papers), Privacy, Security, and Data Protection (7 papers) and Mobile Crowdsensing and Crowdsourcing (7 papers). The work is most often cited by research in Human-Computer Interaction (288 citations), Human Factors and Ergonomics (96 citations), Cognitive Neuroscience (483 citations), Computer Science Applications (121 citations) and Transportation (116 citations). Sergio Mascetti has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Dragan Ahmetovic, Cristian Bernareggi, Cláudio Bettini, X. Sean Wang, Dario Freni, Andrea Gerino, Sushil Jajodia, James M. Coughlan, Roberto Manduchi and Chieko Asakawa. Their work appears in journals such as Pervasive and Mobile Computing, International Journal of Human-Computer Studies, Artificial Intelligence and Law, Journal of Animal Science and Blood.

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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