João Ascenso

3.6k total citations
127 papers, 2.5k citations indexed

About

João Ascenso is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Signal Processing. According to data from OpenAlex, João Ascenso has authored 127 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Computer Vision and Pattern Recognition, 47 papers in Electrical and Electronic Engineering and 29 papers in Signal Processing. Recurrent topics in João Ascenso's work include Wireless Communication Security Techniques (45 papers), Advanced Vision and Imaging (33 papers) and Video Coding and Compression Technologies (26 papers). João Ascenso is often cited by papers focused on Wireless Communication Security Techniques (45 papers), Advanced Vision and Imaging (33 papers) and Video Coding and Compression Technologies (26 papers). João Ascenso collaborates with scholars based in Portugal, Italy and Switzerland. João Ascenso's co-authors include Fernando Pereira, Catarina Brites, Alireza Javaheri, Sven Klomp, Mourad Ouaret, Marco Dalai, Denis Kubasov, Marco Tagliasacchi, Touradj Ebrahimi and R.C. Martins and has published in prestigious journals such as IEEE Access, IEEE Transactions on Circuits and Systems for Video Technology and Electronics Letters.

In The Last Decade

João Ascenso

117 papers receiving 2.4k citations

Peers

João Ascenso

CVPR

EEE

CNC

Catarina Brites Portugal

Raouf Hamzaoui United Kingdom

Fréderic Dufaux France

A. Tabatabai United States

Xiaopeng Fan China

Ricardo L. de Queiroz Brazil

Michael McCool Canada

Lifeng Wang China

Chun-Shien Lu Taiwan

Jens-Rainer Ohm Germany

Catarina Brites Portugal

João Ascenso

1.3k ×0.7

CVPR

1.2k ×0.9

EEE

502 ×0.9

486 ×0.9

CNC

334 ×0.7

Citations per year, relative to João Ascenso João Ascenso (= 1×) peers Catarina Brites

Countries citing papers authored by João Ascenso

Since Specialization

Citations

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

Fields of papers citing papers by João Ascenso

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of João Ascenso

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

All Works

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20 of 20 papers shown

Leonardi, Riccardo, et al.. (2025). JPEG AI Compressed Domain Face Detection: A Multi-Scale Bridging Perspective. IEEE Transactions on Multimedia. 28. 2059–2068.

Ascenso, João, et al.. (2024). Subjective performance assessment protocol for visual explanations-based face verification explainability. EURASIP Journal on Image and Video Processing. 2024(1).

Brites, Catarina, et al.. (2024). Low Complexity Learning-based Lossless Event-based Compression. 85–92.

Alshina, Elena, João Ascenso, & Touradj Ebrahimi. (2024). JPEG AI: The First International Standard for Image Coding Based on an End-to-End Learning-Based Approach. IEEE Multimedia. 31(4). 60–69. 4 indexed citations

Javaheri, Alireza, Catarina Brites, Fernando Pereira, & João Ascenso. (2022). Joint Geometry and Color Projection-Based Point Cloud Quality Metric. IEEE Access. 10. 90481–90497. 19 indexed citations

Javaheri, Alireza, Catarina Brites, Fernando Pereira, & João Ascenso. (2020). Point Cloud Rendering After Coding: Impacts on Subjective and Objective Quality. IEEE Transactions on Multimedia. 23. 4049–4064. 81 indexed citations

Brites, Catarina, João Ascenso, & Fernando Pereira. (2020). Lenslet Light Field Image Coding: Classifying, Reviewing and Evaluating. IEEE Transactions on Circuits and Systems for Video Technology. 31(1). 339–354. 19 indexed citations

Javaheri, Alireza, Catarina Brites, Fernando Pereira, & João Ascenso. (2020). Mahalanobis Based Point to Distribution Metric for Point Cloud Geometry Quality Evaluation. IEEE Signal Processing Letters. 27. 1350–1354. 48 indexed citations

Brites, Catarina, et al.. (2018). Graph-Based Static 3D Point Clouds Geometry Coding. IEEE Transactions on Multimedia. 21(2). 284–299. 97 indexed citations

10.

Jakubowski, Mariusz, João Ascenso, & Grzegorz Pastuszak. (2018). CONSTANT BITRATE CONTROL FOR A DISTRIBUTED VIDEO CODING SYSTEM. 131–138.

11.

Pereira, Fernando, et al.. (2018). Rate-Distortion Driven Adaptive Partitioning for Octree-Based Point Cloud Geometry Coding. 2969–2973. 16 indexed citations

12.

Ascenso, João, et al.. (2017). Perceptual Analysis of Perspective Projection for Viewport Rendering in 360° Images. 53–60. 14 indexed citations

13.

Rakêt, Lars Lau, et al.. (2014). Joint disparity and motion estimation using optical flow for multiview Distributed Video Coding. Research at the University of Copenhagen (University of Copenhagen). 286–290. 1 indexed citations

14.

Monteiro, Pedro & João Ascenso. (2014). Coding mode decision algorithm for binary descriptor coding. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 541–545. 3 indexed citations

15.

Ascenso, João, et al.. (2014). Correlation modeling for a distributed scalable video codec based on the HEVC standard. 1–6. 4 indexed citations

16.

Ascenso, João, et al.. (2012). Impact of the IEEE 802.11n frame aggregation mechanisms on video streaming quality. International Conference on Software, Telecommunications and Computer Networks. 1–5. 2 indexed citations

17.

Soares, Luís Ducla, Catarina Brites, João Ascenso, et al.. (2007). Studying Error Resilience Performance for a Feedback Channel Based Transform Domain Wyner-Ziv Video Codec. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 20 indexed citations

18.

Ascenso, João, et al.. (2007). The DISCOVER codec: Architecture, Techniques and Evaluation. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 312 indexed citations

19.

Brites, Catarina, João Ascenso, & Fernando Pereira. (2006). Feedback channel in pixel domain Wyner-Ziv video coding: Myths and realities. European Signal Processing Conference. 1–5. 18 indexed citations

20.

Ascenso, João & Alberto Rodrigues da Silva. (2001). Software Agents for Digital Television.. International Conference on Enterprise Information Systems. 1139–1146. 2 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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