Míriam Bellver

21 total papers · 1.9k total citations
6 papers, 188 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 188 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 United States. Míriam Bellver's co-authors include Xavier Giró-i-Nieto, Amaia Salvador, Carles Ventura, Ferran Marqués, Jordi Torres, Víctor Campos, Carina Silberer, Nataniel Ruiz, Ming C. Lin and Javier Romero and has published in prestigious journals such as Multimedia Tools and Applications, arXiv (Cornell University) and QRU Quaderns de Recerca en Urbanisme.

In The Last Decade

Míriam Bellver

6 papers receiving 186 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Míriam Bellver	156	32	9	9	7	6	188
Chaochao Lu	181 1.2×	52 1.6×	4 0.4×	13 1.4×	5 0.7×	7	244
T. Mita	256 1.6×	29 0.9×	8 0.9×	10 1.1×	3 0.4×	5	286
Minguk Kang	157 1.0×	73 2.3×	5 0.6×	10 1.1×	9 1.3×	7	237
Brandon Yang	94 0.6×	61 1.9×	3 0.3×	18 2.0×	6 0.9×	5	158
Oren Rippel	93 0.6×	83 2.6×	4 0.4×	6 0.7×	8 1.1×	4	163
Yingxue Pang	149 1.0×	37 1.2×	6 0.7×	20 2.2×	4 0.6×	8	235
Wenchi Ma	144 0.9×	80 2.5×	3 0.3×	7 0.8×	5 0.7×	9	201
Hong Mo	207 1.3×	61 1.9×	6 0.7×	9 1.0×	28 4.0×	7	245
Yu Liu	72 0.5×	38 1.2×	5 0.6×	13 1.4×	5 0.7×	7	124
Tingfa Xu	205 1.3×	63 2.0×	12 1.3×	8 0.9×	3 0.4×	6	237

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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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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