Míriam Bellver

2.0k total citations
6 papers, 191 citations indexed

About

Míriam Bellver is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Míriam Bellver has authored 6 papers receiving a total of 191 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Computational Mechanics. Recurrent topics in Míriam Bellver's work include Advanced Image and Video Retrieval Techniques (3 papers), Advanced Neural Network Applications (3 papers) and Human Pose and Action Recognition (2 papers). Míriam Bellver is often cited by papers focused on Advanced Image and Video Retrieval Techniques (3 papers), Advanced Neural Network Applications (3 papers) and Human Pose and Action Recognition (2 papers). Míriam Bellver collaborates with scholars based in Spain, Germany and Greece. Míriam Bellver's co-authors include Xavier Giró-i-Nieto, Amaia Salvador, Carles Ventura, Ferran Marqués, Jordi Torres, Víctor Campos, Carina Silberer, Nataniel Ruiz, Timo Bolkart and Ming C. Lin and has published in prestigious journals such as Multimedia Tools and Applications, arXiv (Cornell University) and Procedia Computer Science.

In The Last Decade

Míriam Bellver

6 papers receiving 189 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Míriam Bellver Spain	5	159	32	9	9	7	6	191
Ho Kei Cheng United States	3	175 1.1×	13 0.4×	4 0.4×	8 0.9×	12 1.7×	4	212
Yunzhong Hou Australia	7	126 0.8×	68 2.1×	11 1.2×	7 0.8×	5 0.7×	10	182
Jianyang Gu China	8	127 0.8×	59 1.8×	23 2.6×	21 2.3×	3 0.4×	20	192
Chao Yao China	9	226 1.4×	13 0.4×	3 0.3×	6 0.7×	4 0.6×	39	258
Junhyuk Hyun South Korea	10	165 1.0×	70 2.2×	12 1.3×	6 0.7×	2 0.3×	18	211
Kangkai Zhang China	5	83 0.5×	41 1.3×	7 0.8×	18 2.0×	4 0.6×	6	124
Chris Tensmeyer United States	7	205 1.3×	56 1.8×	2 0.2×	4 0.4×	8 1.1×	13	256
Hangjie Yuan China	7	140 0.9×	91 2.8×	2 0.2×	9 1.0×	3 0.4×	12	175

Countries citing papers authored by Míriam Bellver

Since Specialization

Citations

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

Fields of papers citing papers by Míriam Bellver

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Míriam Bellver

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

All Works

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6 of 6 papers shown

1.

Bellver, Míriam, et al.. (2022). A closer look at referring expressions for video object segmentation. Multimedia Tools and Applications. 82(3). 4419–4438. 12 indexed citations

2.

Ruiz, Nataniel, Míriam Bellver, Timo Bolkart, et al.. (2022). Human Body Measurement Estimation with Adversarial Augmentation. 219–230. 3 indexed citations

3.

Bellver, Míriam, Amaia Salvador, Jordi Torres, & Xavier Giró-i-Nieto. (2020). Mask-guided sample selection for semi-supervised instance segmentation. Multimedia Tools and Applications. 79(35-36). 25551–25569. 5 indexed citations

4.

Ventura, Carles, et al.. (2019). RVOS: End-To-End Recurrent Network for Video Object Segmentation. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 5272–5281. 140 indexed citations

5.

Bellver, Míriam, et al.. (2019). Budget-aware semi-supervised semantic and instance segmentation. arXiv (Cornell University). 93–102. 4 indexed citations

6.

Campos, Víctor, et al.. (2017). Distributed training strategies for a computer vision deep learning algorithm on a distributed GPU cluster. Procedia Computer Science. 108. 315–324. 27 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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