Marco Porta

1.7k citations
74 papers · 1.1k · h-index 15

Impact in

Papers in

Marco Porta

68 papers receiving 986 citations

Peers

Marco Porta
Comparison fields: 5 of 108
  • Human-Computer Interaction 502
  • Computer Vision and Pattern Recognition 281
  • Cognitive Neuroscience 221
  • Computer Science Applications 58
  • Language and Linguistics 108
Replace Grace Ngai with:
Grace Ngai Hong Kong
Kimiko Ryokai United States
George Caridakis Greece
Tim Paek United States
Amy Pavel United States
Nitin Sawhney United States
Luis A. Leiva Spain
Mike Fraser United Kingdom
Leslie D. Setlock United States
Nils Dahlbäck Sweden
Marco Porta relative to Grace Ngai Hong Kong Grace Ngai's profile →
Citations per field
00.5×2.8×
Grace Ngai · 1×
Citations per year

Countries citing papers authored by Marco Porta

Since Specialization
Citations

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

Fields of papers citing papers by Marco Porta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004160
2 2010126
3 201473
4 200862
5 200259
6 200254
7 201248
8 200834
9 200329
10 201321
11 200920
12 201018
13 202117
14 200616
15 200015
16 201514
17 201214
18 200813
19 202112
20 201412

About Marco Porta

Marco Porta is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 74 papers that have together received 1.1k indexed citations. Recurring topics across this work include Gaze Tracking and Assistive Technology (46 papers), Hand Gesture Recognition Systems (16 papers), Tactile and Sensory Interactions (13 papers), Interactive and Immersive Displays (10 papers), Visual Attention and Saliency Detection (9 papers), Biometric Identification and Security (6 papers), Video Analysis and Summarization (5 papers) and Advanced Computing and Algorithms (4 papers). The work is most often cited by research in Human-Computer Interaction (502 citations), Computer Vision and Pattern Recognition (281 citations), Cognitive Neuroscience (221 citations), Computer Science Applications (58 citations) and Language and Linguistics (108 citations). Marco Porta has collaborated with scholars based in Italy, United States and Serbia. Frequent co-authors include Virginio Cantoni, Elisa Perego, Fabio Del Missier, Piercarlo Dondi, Michele Nappi, Chiara Galdi, Daniel Riccio, Lorenzo Lombardi, Luca Lombardi and Paolo Lombardi. Their work appears in journals such as Pattern Recognition Letters, International Journal of Human-Computer Studies, IEEE Transactions on Human-Machine Systems, Electronics and IEEE Transactions on Industrial Electronics.

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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