Javier Alonso

1.5k total citations
63 papers, 911 citations indexed

About

Javier Alonso is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Javier Alonso has authored 63 papers receiving a total of 911 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Networks and Communications, 16 papers in Information Systems and 14 papers in Artificial Intelligence. Recurrent topics in Javier Alonso's work include Distributed systems and fault tolerance (16 papers), Software Reliability and Analysis Research (11 papers) and Software System Performance and Reliability (10 papers). Javier Alonso is often cited by papers focused on Distributed systems and fault tolerance (16 papers), Software Reliability and Analysis Research (11 papers) and Software System Performance and Reliability (10 papers). Javier Alonso collaborates with scholars based in Spain, United States and Mexico. Javier Alonso's co-authors include Jordi Torres, Kishor S. Trivedi, Ulises Cortés, Ricard Gavaldà, Josep M. Pujol, Jordi Delgado, Josep Ll. Berral, Luís Moura Silva, Jordi Guitart and Rivalino Matias and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and Frontiers in Psychology.

In The Last Decade

Javier Alonso

62 papers receiving 861 citations

Peers

Javier Alonso
Comparison fields: 5 of 114
  • Computer Networks and Communications 480
  • Information Systems 326
  • Artificial Intelligence 201
  • Software 172
  • Electrical and Electronic Engineering 151
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Citations per field, relative to Javier Alonso
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Citations per year, relative to Javier Alonso
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Countries citing papers authored by Javier Alonso

Since Specialization
Citations

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

Fields of papers citing papers by Javier Alonso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Alonso

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Alonso. A scholar is included among the top collaborators of Javier Alonso 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 Javier Alonso. Javier Alonso 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
# Work Indexed citations
1 1
2 1
3 10
4 2
5 4
6 1
7 4
8 5
9 17
10
Extracting Visual Patterns from Deep Learning Representations.
3
11 5
12
Strategies and algorithms for clustering large datasets: a review
4
13
K-means vs Mini Batch K-means: a comparison
23
14 12
15
Small UAV radiocommunication channel characterization
12
16 5
17
Break point analysis and modelling in subway tunnels
11
18 77
19 8
20
Experiments with Domain Knowledge in Unsupervised Learning: Using and Revising Theories
2

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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