Samuel Silva

2.0k citations
116 papers · 1.1k indexed · h-index 17

Samuel Silva

104 papers receiving 1.1k citations

Peers

Samuel Silva
Comparison fields: 5 of 137
  • Human-Computer Interaction 429
  • Computer Vision and Pattern Recognition 515
  • Computer Graphics and Computer-Aided Design 69
  • Experimental and Cognitive Psychology 103
  • Cognitive Neuroscience 140
Replace Maic Masuch with:
Maic Masuch Germany
Fraser Anderson Canada
Paulo Dias Portugal
Alan B. Craig United States
Ismo Rakkolainen Finland
Frédéric Vexo Switzerland
Charles B. Owen United States
Florica Moldoveanu Romania
Philippe Coiffet France
Luciana Nedel Brazil
Samuel Silva relative to Maic Masuch Germany Maic Masuch's profile →
Citations per field
00.5×1.6×
Maic Masuch · 1×
Citations per year

Countries citing papers authored by Samuel Silva

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
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18 202170
19 20200
20 201731

About Samuel Silva

Samuel Silva is a scholar working on Human-Computer Interaction, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Signal Processing, having authored 116 papers that have together received 1.1k indexed citations. Recurring topics across this work include Augmented Reality Applications (28 papers), Virtual Reality Applications and Impacts (25 papers), Interactive and Immersive Displays (17 papers), Phonetics and Phonology Research (11 papers), Speech and Audio Processing (10 papers), Speech Recognition and Synthesis (10 papers), Speech and dialogue systems (8 papers) and Computer Graphics and Visualization Techniques (8 papers). The work is most often cited by research in Human-Computer Interaction (429 citations), Computer Vision and Pattern Recognition (515 citations), Computer Graphics and Computer-Aided Design (69 citations), Experimental and Cognitive Psychology (103 citations) and Cognitive Neuroscience (140 citations). Samuel Silva has collaborated with scholars based in Portugal, United States and Sweden. Frequent co-authors include Beatriz Sousa Santos, Joaquim Madeira, Paulo Dias, António Teixeira, Bernardo Marques, Carlos Ferreira, João Alves, Sandra C. Soares, Nuno Almeida and Carlos Fernandes da Silva. Their work appears in journals such as Computers & Graphics, IEEE Computer Graphics and Applications, Sensors, Computer Speech & Language and Emotion.

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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