Natércia Lima

458 citations
24 papers · 234 indexed · h-index 9
Topics
Experimental Learning in Engineering (17 papers)Biomedical and Engineering Education (9 papers)Engineering Education and Pedagogy (6 papers)
Partner nations
PortugalSpainArgentina

In The Last Decade

Natércia Lima

24 papers receiving 215 citations

Peers

Natércia Lima
Comparison fields: 5 of 38
  • Media Technology 181
  • Biomedical Engineering 74
  • Education 57
  • Computer Science Applications 50
  • Information Systems 40
Replace Juarez Bento da Silva with:
Juarez Bento da Silva Brazil
Andreas Pester Austria
Andrew Maxwell Australia
Danilo Garbi Zutin Austria
Christian Pleul Germany
Olga Dziabenko Spain
Antonio Vallejo Guevara Mexico
K. Nilsson Sweden
Claudius Terkowsky Germany
Svana Esche United States
Natércia Lima relative to Juarez Bento da Silva Brazil Juarez Bento da Silva's profile →
Citations per field
00.5×1.5×1.8×
Juarez Bento da Silva · 1×
Citations per year

Countries citing papers authored by Natércia Lima

Since Specialization
Citations

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

Fields of papers citing papers by Natércia Lima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natércia Lima

This figure shows the co-authorship network connecting the top 25 collaborators of Natércia Lima. A scholar is included among the top collaborators of Natércia Lima 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 Natércia Lima. Natércia Lima 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 1
2 2
3 4
4 1
5 1
6 1
7 15
8 8
9 84
10 3
11 4
12 2
13 6
14 4
15 6
16 14
17 7
18 9
19 1
20 16

About Natércia Lima

Natércia Lima is a scholar working on Architecture, Media Technology and Computer Science Applications, having authored 24 papers that have together received 234 indexed citations. Recurring topics across this work include Experimental Learning in Engineering (17 papers), Biomedical and Engineering Education (9 papers) and Engineering Education and Pedagogy (6 papers). The work is most often cited by research in Media Technology (181 citations), Architecture (21 citations) and Computer Science Applications (50 citations). Natércia Lima has collaborated with scholars based in Portugal, Spain and Argentina. Frequent co-authors include Clara Viegas, Gustavo R. Alves, Francisco José García‐Peñalvo, Ingvar Gustavsson, Arcelina Marques, André Fidalgo, Delberis A. Lima, Guilherme P. Temporão, Manuel Castro and Juarez Bento da Silva. Their work appears in journals such as Computers & Education, Sustainability and Education Sciences.

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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