Arcelina Marques

969 citations
69 papers · 561 indexed · h-index 11
Topics
Experimental Learning in Engineering (35 papers)Biomedical and Engineering Education (16 papers)Advanced MEMS and NEMS Technologies (11 papers)
Partner nations
PortugalSpainBrazil

In The Last Decade

Arcelina Marques

66 papers receiving 526 citations

Peers

Arcelina Marques
Comparison fields: 5 of 82
  • Media Technology 376
  • Biomedical Engineering 197
  • Education 119
  • Electrical and Electronic Engineering 105
  • Computer Science Applications 89
Replace Clara Viegas with:
Clara Viegas Portugal
Euan Lindsay Australia
André Fidalgo Portugal
Zorica Nedic Australia
Jan Machotka Australia
Johan Zackrisson Sweden
Svana Esche United States
Juarez Bento da Silva Brazil
Olga Dziabenko Spain
Natércia Lima Portugal
Arcelina Marques relative to Clara Viegas Portugal Clara Viegas's profile →
Citations per field
00.5×2.9×
Clara Viegas · 1×
Citations per year

Countries citing papers authored by Arcelina Marques

Since Specialization
Citations

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

Fields of papers citing papers by Arcelina Marques

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arcelina Marques

This figure shows the co-authorship network connecting the top 25 collaborators of Arcelina Marques. A scholar is included among the top collaborators of Arcelina Marques based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Arcelina Marques. Arcelina Marques is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 9
4 1
5 9
6 11
7 1
8 0
9 1
10 84
11 3
12 6
13 5
14 3
15 7
16 29
17 2
18
On the use of VISIR under different course implementations
4
19 15
20 5

About Arcelina Marques

Arcelina Marques is a scholar working on Architecture, Media Technology and Computer Science Applications, having authored 69 papers that have together received 561 indexed citations. Recurring topics across this work include Experimental Learning in Engineering (35 papers), Biomedical and Engineering Education (16 papers) and Advanced MEMS and NEMS Technologies (11 papers). The work is most often cited by research in Media Technology (376 citations), Architecture (56 citations) and Computer Science Applications (89 citations). Arcelina Marques has collaborated with scholars based in Portugal, Spain and Brazil. Frequent co-authors include Gustavo R. Alves, Clara Viegas, Cristina Costa-Lobo, André Fidalgo, Ingvar Gustavsson, João Rocha, Natércia Lima, Javier García-Zubía, Mário Vaz and Delberis A. Lima. Their work appears in journals such as Journal of Biomechanics, Computers & Education 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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