João Oliveira

1.0k citations
19 papers · 678 indexed · h-index 8
Topics
Image and Signal Denoising Methods (5 papers)Advanced Image Processing Techniques (4 papers)Sparse and Compressive Sensing Techniques (3 papers)
Partner nations
PortugalUnited States

In The Last Decade

João Oliveira

15 papers receiving 653 citations

Peers

João Oliveira
Comparison fields: 5 of 80
  • Computer Vision and Pattern Recognition 468
  • Computational Mechanics 242
  • Media Technology 191
  • Biomedical Engineering 111
  • Radiology, Nuclear Medicine and Imaging 51
Replace Francis Schmitt with:
Francis Schmitt France
Stamatios Lefkimmiatis Switzerland
Nhat Nguyen United States
Doron Shaked United States
Vardan Papyan United States
Tanja Teuber Germany
Mehrdad Yaghoobi United Kingdom
Kunal N. Chaudhury India
Amel Benazza‐Benyahia Tunisia
João Oliveira relative to Francis Schmitt France Francis Schmitt's profile →
Citations per field
00.5×2.6×
Francis Schmitt · 1×
Citations per year

Countries citing papers authored by João Oliveira

Since Specialization
Citations

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

Fields of papers citing papers by João Oliveira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of João Oliveira

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 0
2 5
3 4
4 1
5 3
6 2
7 12
8 0
9 0
10 19
11 0
12 3
13 12
14 4
15 77
16 269
17
Adaptive total variation image deconvolution: A majorization-minimization approach
40
18 140
19 87

About João Oliveira

João Oliveira is a scholar working on Space and Planetary Science, Software and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 678 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (5 papers), Advanced Image Processing Techniques (4 papers) and Sparse and Compressive Sensing Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (468 citations), Media Technology (191 citations) and Computational Mechanics (242 citations). João Oliveira has collaborated with scholars based in Portugal and United States. Frequent co-authors include José M. Bioucas‐Dias, Mário A. T. Figueiredo, Robert D. Nowak, Ana de Almeida, Carlos Serrão, Luís Nunes, Ana Almeida, João Peças Lopes, Pedro Alves and Hugo Gambôa. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Access and Signal Processing.

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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