Pau Bofill

1.5k total citations
9 papers, 638 citations indexed

About

Pau Bofill is a scholar working on Artificial Intelligence, Signal Processing and Industrial and Manufacturing Engineering. According to data from OpenAlex, Pau Bofill has authored 9 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Signal Processing and 3 papers in Industrial and Manufacturing Engineering. Recurrent topics in Pau Bofill's work include Neural Networks and Applications (3 papers), Speech and Audio Processing (3 papers) and Manufacturing Process and Optimization (2 papers). Pau Bofill is often cited by papers focused on Neural Networks and Applications (3 papers), Speech and Audio Processing (3 papers) and Manufacturing Process and Optimization (2 papers). Pau Bofill collaborates with scholars based in Spain, United States and Japan. Pau Bofill's co-authors include Michael Zibulevsky, Hiroshi Sawada, Dominik Lutter, Ngoc Q. K. Duong, Alexey Ozerov, Fabian J. Theis, Shoko Araki, Emmanuel Vincent, Carme Torras and Roger Guimerà and has published in prestigious journals such as Neurocomputing, Neural Networks and Signal Processing.

In The Last Decade

Pau Bofill

8 papers receiving 586 citations

Peers

Pau Bofill

SP

CM

AC

CVPR

AI

M. Novey United States

Alper T. Erdoğan Türkiye

Zbyněk Koldovský Czechia

Anne Ferréol France

K. Nayebi United States

Sze Fong Yau Hong Kong

Junmei Yang China

Dimitri Nion Belgium

H Mathis Switzerland

Xie Sheng-li China

M. Novey United States

Pau Bofill

393 ×0.7

SP

140 ×0.6

CM

85 ×0.6

AC

76 ×0.8

CVPR

150 ×2.2

AI

Citations per year, relative to Pau Bofill Pau Bofill (= 1×) peers M. Novey

Countries citing papers authored by Pau Bofill

Since Specialization

Citations

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

Fields of papers citing papers by Pau Bofill

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pau Bofill

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

All Works

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9 of 9 papers shown

1.

Vincent, Emmanuel, Shoko Araki, Fabian J. Theis, et al.. (2011). The signal separation evaluation campaign (2007–2010): Achievements and remaining challenges. Signal Processing. 92(8). 1928–1936. 105 indexed citations

2.

Bofill, Pau, et al.. (2005). Áncora: Aprendizaje Organizado por Tareas. ABACUS. Repositorio de Producción Científica (Universidad Europea).

3.

Bofill, Pau, Roger Guimerà, & Carme Torras. (2003). Comparison of simulated annealing and mean field annealing as applied to the generation of block designs. Neural Networks. 16(10). 1421–1428. 12 indexed citations

4.

Bofill, Pau & Carme Torras. (2003). MBMUDs: a combinatorial extension of BIBDs showing good optimality behaviour. Journal of Statistical Planning and Inference. 124(1). 185–204. 3 indexed citations

5.

Bofill, Pau. (2002). Underdetermined blind separation of delayed sound sources in the frequency domain. Neurocomputing. 55(3-4). 627–641. 43 indexed citations

6.

Bofill, Pau & Michael Zibulevsky. (2001). Underdetermined blind source separation using sparse representations. Signal Processing. 81(11). 2353–2362. 461 indexed citations

7.

Bofill, Pau & Carme Torras. (2001). NEURAL COST FUNCTIONS AND SEARCH STRATEGIES FOR THE GENERATION OF BLOCK DESIGNS: AN EXPERIMENTAL EVALUATION. International Journal of Neural Systems. 11(2). 187–202. 3 indexed citations

8.

Bofill, Pau, et al.. (1996). Optimization networks for the generation of block designs. 2(4). 303–312. 2 indexed citations

9.

Bofill, Pau, et al.. (1989). Learning by Back-Propagation: a systolic algorithm and its transputer implementation. 9 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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