João Oliveira

1.0k total citations
19 papers, 678 citations indexed

About

João Oliveira is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Computer Networks and Communications. According to data from OpenAlex, João Oliveira has authored 19 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Information Systems and 3 papers in Computer Networks and Communications. Recurrent topics in João Oliveira's work include Image and Signal Denoising Methods (5 papers), Advanced Image Processing Techniques (4 papers) and Sparse and Compressive Sensing Techniques (3 papers). João Oliveira is often cited by papers focused on Image and Signal Denoising Methods (5 papers), Advanced Image Processing Techniques (4 papers) and Sparse and Compressive Sensing Techniques (3 papers). João Oliveira collaborates with scholars based in Portugal and United States. João Oliveira's co-authors include Mário A. T. Figueiredo, José M. Bioucas‐Dias, Robert D. Nowak, Ana de Almeida, Carlos Serrão, Luís Nunes, Hugo Gambôa, Ana Almeida, Marília Barandas and Pedro Alves and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and Signal Processing.

In The Last Decade

João Oliveira

15 papers receiving 653 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
João Oliveira Portugal	8	468	242	191	111	51	19	678
Xiao-Guang Lv China	17	522 1.1×	314 1.3×	190 1.0×	130 1.2×	46 0.9×	52	769
Stamatios Lefkimmiatis Switzerland	11	410 0.9×	260 1.1×	199 1.0×	174 1.6×	133 2.6×	27	693
Amel Benazza‐Benyahia Tunisia	12	407 0.9×	132 0.5×	110 0.6×	57 0.5×	86 1.7×	79	629
Kunal N. Chaudhury India	20	892 1.9×	153 0.6×	320 1.7×	71 0.6×	52 1.0×	63	1.1k
Tomer Peleg Israel	7	627 1.3×	313 1.3×	330 1.7×	132 1.2×	42 0.8×	10	849
Yongli Wang China	13	277 0.6×	210 0.9×	178 0.9×	62 0.6×	25 0.5×	41	549
Doron Shaked United States	14	1.1k 2.4×	166 0.7×	306 1.6×	63 0.6×	43 0.8×	40	1.4k
Wenli Xu China	6	465 1.0×	347 1.4×	76 0.4×	60 0.5×	36 0.7×	14	708
Tanja Teuber Germany	10	492 1.1×	404 1.7×	146 0.8×	91 0.8×	117 2.3×	17	762
Vardan Papyan United States	8	365 0.8×	158 0.7×	143 0.7×	85 0.8×	50 1.0×	12	600

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

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19 of 19 papers shown

Levin, Tim, et al.. (2024). Image and Command Transmission Over the 5G Network for Teleoperation of Mobile Robots. 1–8.

Coelho, J. A. B., et al.. (2023). Semantic similarity for mobile application recommendation under scarce user data. Engineering Applications of Artificial Intelligence. 121. 105974–105974. 4 indexed citations

Oliveira, João, et al.. (2023). Autonomous and intelligent optical tweezers for improving the reliability and throughput of single particle analysis. Measurement Science and Technology. 35(2). 25208–25208. 5 indexed citations

Elvas, Luís B., et al.. (2023). AI-Based Aortic Stenosis Classification in MRI Scans. Electronics. 12(23). 4835–4835. 1 indexed citations

Oliveira, João, Dibet Garcia Gonzalez, Miguel Guevara, et al.. (2023). Footwear segmentation and recommendation supported by deep learning: an exploratory proposal. Procedia Computer Science. 219. 724–735. 3 indexed citations

Adão, Telmo, João Oliveira, Marco Fernandes, et al.. (2023). Empowering Deaf-Hearing Communication: Exploring Synergies between Predictive and Generative AI-Based Strategies towards (Portuguese) Sign Language Interpretation. Journal of Imaging. 9(11). 235–235. 2 indexed citations

Almeida, Ana de, et al.. (2022). Automated methods for image detection of cultural heritage: Overviews and perspectives. Archaeological Prospection. 30(2). 153–169. 12 indexed citations

Coelho, J. A. B., et al.. (2022). Collaborative Filtering for Mobile Application Recommendation with Implicit Feedback. 1–9.

Lopes, Adriano, et al.. (2021). A Modular Web-Based Software Solution for Mobile Networks Planning, Operation and Optimization. Applied Sciences. 11(16). 7686–7686.

10.

Barandas, Marília, et al.. (2021). Crowdsourcing-Based Fingerprinting for Indoor Location in Multi-Storey Buildings. IEEE Access. 9. 31143–31160. 19 indexed citations

11.

Oliveira, João, et al.. (2021). Transformer-based Language Models for Semantic Search and Mobile Applications Retrieval. Repositório Institucional do ISCTE-IUL (ISCTE-IUL). 225–232.

12.

Serrão, Carlos, et al.. (2020). Automated security testing of Android applications for secure mobile development. 8. 222–231. 3 indexed citations

13.

Lopes, João Peças, Carlos Serrão, Luís Nunes, Ana Almeida, & João Oliveira. (2019). Overview of machine learning methods for Android malware identification. Repositório Institucional do ISCTE-IUL (ISCTE-IUL). 1–6. 12 indexed citations

14.

Oliveira, João, Luís Alcácer, Jorge Morgado, et al.. (2018). Sparse‐coding denoising applied to reversible conformational switching of a porphyrin self‐assembled monolayer induced by scanning tunnelling microscopy. Journal of Microscopy. 271(1). 98–108. 4 indexed citations

15.

Oliveira, João, Mário A. T. Figueiredo, & José M. Bioucas‐Dias. (2013). Parametric Blur Estimation for Blind Restoration of Natural Images: Linear Motion and Out-of-Focus. IEEE Transactions on Image Processing. 23(1). 466–477. 77 indexed citations

16.

Oliveira, João, José M. Bioucas‐Dias, & Mário A. T. Figueiredo. (2009). Adaptive total variation image deblurring: A majorization–minimization approach. Signal Processing. 89(9). 1683–1693. 269 indexed citations

17.

Bioucas‐Dias, José M., Mário A. T. Figueiredo, & João Oliveira. (2006). Adaptive total variation image deconvolution: A majorization-minimization approach. European Signal Processing Conference. 1–4. 40 indexed citations

18.

Bioucas‐Dias, José M., Mário A. T. Figueiredo, & João Oliveira. (2006). Total Variation-Based Image Deconvolution: a Majorization-Minimization Approach. 2. II–861. 140 indexed citations

19.

Figueiredo, Mário A. T., José M. Bioucas‐Dias, João Oliveira, & Robert D. Nowak. (2006). On Total Variation Denoising: A New Majorization-Minimization Algorithm and an Experimental Comparisonwith Wavalet Denoising. 2633–2636. 87 indexed citations

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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