Benedita Malheiro

927 citations
69 papers · 415 indexed · h-index 11
Topics
Recommender Systems and Techniques (14 papers)Digital Marketing and Social Media (8 papers)Problem and Project Based Learning (7 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsMachine Learning
Partner nations
PortugalSpainIreland

In The Last Decade

Benedita Malheiro

60 papers receiving 384 citations

Peers

Benedita Malheiro
Comparison fields: 5 of 90
  • Information Systems 107
  • Education 92
  • Sociology and Political Science 80
  • Artificial Intelligence 74
  • Media Technology 56
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Miguel Torres-Ruiz Mexico
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Silvana Aciar Argentina
Colin Pattinson United Kingdom
Alexey Finogeev Russia
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Citations per field
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Citations per year

Countries citing papers authored by Benedita Malheiro

Since Specialization
Citations

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

Fields of papers citing papers by Benedita Malheiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benedita Malheiro

This figure shows the co-authorship network connecting the top 25 collaborators of Benedita Malheiro. A scholar is included among the top collaborators of Benedita Malheiro 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 Benedita Malheiro. Benedita Malheiro 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 2
2 1
3 1
4 26
5 9
6 1
7 1
8 16
9 12
10 1
11 1
12 3
13 8
14 2
15 4
16
Support system for rational use of electric energy
1
17 5
18
Multi-agent system for personalization of location-based services
2
19
Improving Assumption based Distributed Belief Revision
0
20
Belief revision in multi-agent systems
16

About Benedita Malheiro

Benedita Malheiro is a scholar working on Computer Science Applications, Information Systems and Media Technology, having authored 69 papers that have together received 415 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (14 papers), Digital Marketing and Social Media (8 papers) and Problem and Project Based Learning (7 papers). The work is most often cited by research in Media Technology (56 citations), Computer Science Applications (28 citations) and Information Systems (107 citations). Benedita Malheiro has collaborated with scholars based in Portugal, Spain and Ireland. Frequent co-authors include Manuel F. Silva, Bruno Veloso, Paulo Ferreira, Fátima Leal, Juan C. Burguillo, Cristina Ribeiro, Abel J. Duarte, Horacio González–Vélez, Matias Waller and Eugénio Oliveira. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Machine Learning.

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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