Alicia d’Anjou

47 papers receiving 704 citations

Peers

Alicia d’Anjou
Comparison fields: 5 of 90
  • Statistical and Nonlinear Physics 400
  • Cognitive Neuroscience 320
  • Computer Networks and Communications 260
  • Cellular and Molecular Neuroscience 128
  • Electrical and Electronic Engineering 125
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Alicia d’Anjou relative to Juan Hugo García-López Mexico Juan Hugo García-López's profile →
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Citations per year

Countries citing papers authored by Alicia d’Anjou

Since Specialization
Citations

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

Fields of papers citing papers by Alicia d’Anjou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alicia d’Anjou. 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 Alicia d’Anjou. The network helps show where Alicia d’Anjou may publish in the future.

Co-authorship network of co-authors of Alicia d’Anjou

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 13
2 93
3 2
4 43
5
On the ability of Swarms to compute the 3-coloring of graphs
7
6 63
7
Information Processing With Evolutionary Algorithms: From Industrial Applications To Academic Speculations (Advanced Information and Knowledge Processing)
0
8
Morphological memories for feature extraction in hyperspectral images.
3
9 8
10 107
11 13
12 2
13 3
14
Self organizing map for adaptive non-stationary clustering: some experimental results on color quantization of image sequences.
1
15 2
16 3
17 11
18 21
19
High-order Boltzmann machines applied to the Monk's problems.
1
20
Máquinas de Boltzmann para la resolución del problema de la satisfacibilidad
1

About Alicia d’Anjou

Alicia d’Anjou is a scholar working on Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 48 papers that have together received 749 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (12 papers), Neural dynamics and brain function (9 papers) and Neural Networks and Applications (9 papers). The work is most often cited by research in Statistical and Nonlinear Physics (400 citations), Cognitive Neuroscience (320 citations) and Computer Networks and Communications (260 citations). Alicia d’Anjou has collaborated with scholars based in Spain, France and United Kingdom. Frequent co-authors include Francisco Torrealdea, Abdelmalik Moujahid, Manuel Graña, C. Sarasola, F. Sanz, Carmen Hernández, Nieves Vélez de Mendizábal, Ramón Moreno, Raúl Orduna-Urrutia and José M. Asúa. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Information Sciences and Journal of Non-Crystalline Solids.

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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