Fernando Trinta

451 citations
53 papers · 238 indexed · h-index 9

Fernando Trinta

43 papers receiving 229 citations

Peers

Fernando Trinta
Comparison fields: 5 of 39
  • Human-Computer Interaction 25
  • Computer Vision and Pattern Recognition 92
  • Computer Networks and Communications 102
  • Computer Science Applications 22
  • Information Systems 85
Replace Leonel Merino with:
Leonel Merino Chile
Weijia He China
Guido Lemos de Souza Filho Brazil
Andreas Biørn-Hansen Norway
Sebastiano Pizzutilo Italy
Elke Michlmayr Austria
Nektarios Moumoutzis Greece
Cristina Frà Italy
Christoph Endres Germany
Sanjay Podder Switzerland
Fernando Trinta relative to Leonel Merino Chile Leonel Merino's profile →
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Citations per year

Countries citing papers authored by Fernando Trinta

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Trinta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20240
3 20232
4 20230
5 20231
6 20212
7 20201
8 202012
9 20191
10 201911
11 201810
12 20181
13
On the Evaluation of a Contextual Sensitive Data Offloading Service: the COP case
20170
14 20175
15 201514
16 201419
17 20133
18 20091
19 20082
20 20071

About Fernando Trinta

Fernando Trinta is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Signal Processing and Human-Computer Interaction, having authored 53 papers that have together received 238 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (23 papers), Context-Aware Activity Recognition Systems (16 papers), Cloud Computing and Resource Management (13 papers), Green IT and Sustainability (6 papers), Software System Performance and Reliability (5 papers), Caching and Content Delivery (4 papers), IoT Networks and Protocols (4 papers) and Cloud Data Security Solutions (4 papers). The work is most often cited by research in Human-Computer Interaction (25 citations), Computer Vision and Pattern Recognition (92 citations), Computer Networks and Communications (102 citations), Computer Science Applications (22 citations) and Information Systems (85 citations). Fernando Trinta has collaborated with scholars based in Brazil, United States and Portugal. Frequent co-authors include Windson Viana, Paulo A. L. Rêgo, José Neuman de Souza, Lincoln S. Rocha, Ricardo Borges Viana, Emanuel Ferreira Coutinho, Dário Vieira, Carlos Ferraz, Omar Andrés Carmona Cortes and Francisco Airton Silva. Their work appears in journals such as Informatics in Education, Pervasive and Mobile Computing, Computer Communications, Computing and Sensors.

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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