Mónica Costa

12 papers receiving 2.4k citations

Hit Papers

Writing on dirty paper (Corresp.)1983202619972011198350010001.5k2.0k

Peers

Mónica Costa
Comparison fields: 5 of 58
  • Electrical and Electronic Engineering 2.1k
  • Computer Networks and Communications 1.7k
  • Computer Vision and Pattern Recognition 432
  • Computational Theory and Mathematics 171
  • Aerospace Engineering 156
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E. Offer Germany
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Mónica Costa relative to Rajiv Laroia United States Rajiv Laroia's profile →
Citations per field
00.5×1.5×2.3×
Rajiv Laroia · 1×
Citations per year

Countries citing papers authored by Mónica Costa

Since Specialization
Citations

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

Fields of papers citing papers by Mónica Costa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mónica Costa

This figure shows the co-authorship network connecting the top 25 collaborators of Mónica Costa. A scholar is included among the top collaborators of Mónica Costa 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 Mónica Costa. Mónica Costa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 0
2 7
3 12
4 2
5 3
6
Platform to approach employer-graduate in higher education Portuguese institution
0
7
Informing and socializing in interactive spaces: delivering the right information to the right users
0
8
A bluetooth-based Interactive system to improve relationships between actors in educational environments
2
9 3
10 1
11 0
12 2
13 1
14 2
15 0
16 2
17
Writing on dirty paper (Corresp.)breakdown →
2495

About Mónica Costa

Mónica Costa is a scholar working on Occupational Therapy, Applied Mathematics and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 2.5k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (3 papers), Diabetic Foot Ulcer Assessment and Management (3 papers) and Pressure Ulcer Prevention and Management (3 papers). The work is most often cited by research in Computer Networks and Communications (1.7k citations), Electrical and Electronic Engineering (2.1k citations) and Computer Vision and Pattern Recognition (432 citations). Mónica Costa has collaborated with scholars based in Portugal, Slovenia and United Kingdom. Frequent co-authors include Ivan Miguel Pires, Martin Mihajlov, Vasco Ponciano, Filipe Ferreira, Eftim Zdravevski, Nuno M. García, Ivan Chorbev, Salviano Soares, João Barroso and Fernando Ribeiro. Their work appears in journals such as IEEE Transactions on Information Theory, Sensors and Computer Applications in Engineering Education.

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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