Miquel Ferrer

44 total papers · 535 total citations
18 papers, 190 citations indexed

About

Miquel Ferrer is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Miquel Ferrer has authored 18 papers receiving a total of 190 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 6 papers in Signal Processing. Recurrent topics in Miquel Ferrer's work include Graph Theory and Algorithms (12 papers), Advanced Graph Neural Networks (8 papers) and Data Management and Algorithms (6 papers). Miquel Ferrer is often cited by papers focused on Graph Theory and Algorithms (12 papers), Advanced Graph Neural Networks (8 papers) and Data Management and Algorithms (6 papers). Miquel Ferrer collaborates with scholars based in Spain, Switzerland and Germany. Miquel Ferrer's co-authors include Francesc Serratosa, Ernest Valveny, Kaspar Riesen, Horst Bunke, Xiaoyi Jiang, Dìmosthenis Karatzas, Andrea Torsello, Alberto Sanfeliu, Àgata Lapedriza and Gemma Sánchez and has published in prestigious journals such as Pattern Recognition, Pattern Recognition Letters and Computer Vision and Image Understanding.

In The Last Decade

Miquel Ferrer

18 papers receiving 182 citations

Author Peers

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

Author Last Decade Papers Cites
Miquel Ferrer 139 109 48 31 22 18 190
G. Phanendra Babu 116 0.8× 184 1.7× 42 0.9× 25 0.8× 12 0.5× 13 291
Shenghui Cheng 133 1.0× 45 0.4× 26 0.5× 12 0.4× 22 1.0× 24 218
Mukund Narasimhan 85 0.6× 159 1.5× 40 0.8× 40 1.3× 36 1.6× 14 271
Jiajun Liu 166 1.2× 81 0.7× 20 0.4× 16 0.5× 16 0.7× 18 243
Alexander Ponomarenko 134 1.0× 75 0.7× 88 1.8× 12 0.4× 30 1.4× 16 248
Andrés Gago-Alonso 100 0.7× 55 0.5× 92 1.9× 20 0.6× 13 0.6× 21 201
Rupkumar Mahapatra 32 0.2× 58 0.5× 41 0.9× 59 1.9× 23 1.0× 17 201
Damian Merrick 80 0.6× 34 0.3× 88 1.8× 15 0.5× 21 1.0× 12 203
Mohammed Bakiri 90 0.6× 56 0.5× 32 0.7× 58 1.9× 25 1.1× 12 185
Geonmo Gu 197 1.4× 156 1.4× 38 0.8× 10 0.3× 32 1.5× 10 251

Countries citing papers authored by Miquel Ferrer

Since Specialization
Citations

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

Fields of papers citing papers by Miquel Ferrer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miquel Ferrer

This figure shows the co-authorship network connecting the top 25 collaborators of Miquel Ferrer. A scholar is included among the top collaborators of Miquel Ferrer 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 Miquel Ferrer. Miquel Ferrer 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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