Edgar Riba

932 total citations · 1 hit paper
3 papers, 484 citations indexed

About

Edgar Riba is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Edgar Riba has authored 3 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 1 paper in Signal Processing and 1 paper in Artificial Intelligence. Recurrent topics in Edgar Riba's work include Advanced Image and Video Retrieval Techniques (2 papers), Image Retrieval and Classification Techniques (2 papers) and Advanced Neural Network Applications (1 paper). Edgar Riba is often cited by papers focused on Advanced Image and Video Retrieval Techniques (2 papers), Image Retrieval and Classification Techniques (2 papers) and Advanced Neural Network Applications (1 paper). Edgar Riba collaborates with scholars based in Austria, Germany and United Kingdom. Edgar Riba's co-authors include Krystian Mikolajczyk, Daniel Ponsa, Vassileios Balntas, Jian Shi, Anguelos Nicolaou, Vincent Christlein and Mathias Seuret and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

In The Last Decade

Edgar Riba

3 papers receiving 476 citations

Hit Papers

Learning local feature descriptors with triplets and shal... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edgar Riba Austria 3 402 240 88 34 23 3 484
Vassileios Balntas United Kingdom 7 436 1.1× 240 1.0× 97 1.1× 44 1.3× 19 0.8× 10 514
Julio H. Zaragoza Australia 4 633 1.6× 315 1.3× 136 1.5× 38 1.1× 22 1.0× 5 759
Shiming Lai China 8 313 0.8× 129 0.5× 41 0.5× 67 2.0× 9 0.4× 25 395
Yingze Bao China 7 206 0.5× 109 0.5× 116 1.3× 19 0.6× 29 1.3× 9 289
In-So Kweon South Korea 5 267 0.7× 104 0.4× 60 0.7× 20 0.6× 22 1.0× 7 315
Chanop Silpa-Anan Australia 5 450 1.1× 183 0.8× 82 0.9× 46 1.4× 18 0.8× 6 533
Thomas Skordas France 5 247 0.6× 117 0.5× 57 0.6× 20 0.6× 13 0.6× 11 312
Ignas Budvytis United Kingdom 13 382 1.0× 55 0.2× 45 0.5× 20 0.6× 31 1.3× 26 444
Minwoo Park United States 9 317 0.8× 69 0.3× 23 0.3× 62 1.8× 16 0.7× 34 396
Kevin Lin Taiwan 6 599 1.5× 59 0.2× 121 1.4× 43 1.3× 6 0.3× 12 655

Countries citing papers authored by Edgar Riba

Since Specialization
Citations

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

Fields of papers citing papers by Edgar Riba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edgar Riba

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

All Works

3 of 3 papers shown
1.
Nicolaou, Anguelos, et al.. (2022). TorMentor: Deterministic dynamic-path, data augmentations with fractals. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 2706–2710. 6 indexed citations
2.
Riba, Edgar, et al.. (2019). Key.Net: Keypoint Detection by Handcrafted and Learned CNN Filters. 5835–5843. 157 indexed citations
3.
Balntas, Vassileios, Edgar Riba, Daniel Ponsa, & Krystian Mikolajczyk. (2016). Learning local feature descriptors with triplets and shallow convolutional neural networks. 119.1–119.11. 321 indexed citations breakdown →

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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