Mauricio Marı́n

79 papers receiving 648 citations

Peers

Mauricio Marı́n
Comparison fields: 5 of 89
  • Computer Networks and Communications 331
  • Information Systems 242
  • Artificial Intelligence 166
  • Signal Processing 140
  • Computer Vision and Pattern Recognition 89
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Terrence J. Moore United States
Lu Zhou China
Lie‐Quan Lee United States
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H. Marten Germany
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Daeyoung Park South Korea
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Countries citing papers authored by Mauricio Marı́n

Since Specialization
Citations

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

Fields of papers citing papers by Mauricio Marı́n

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mauricio Marı́n

This figure shows the co-authorship network connecting the top 25 collaborators of Mauricio Marı́n. A scholar is included among the top collaborators of Mauricio Marı́n 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 Mauricio Marı́n. Mauricio Marı́n 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 6
2 1
3 13
4 1
5 1
6 1
7 4
8 7
9 10
10 1
11 20
12
Algoritmos para listas invertidas paralelas
0
13
Modelización BSP de listas invertidas paralelas
2
14
Administrador visual de entornos BSP
0
15
Un enfoque paralelo para el procesamiento de consultas sobre base de datos textuales
0
16
Representación visual para la administración del procesamiento paralelo de consultas SQL
2
17
Servidor paralelo SQL-BSP para aplicaciones web
1
18
Un modelo de predicción de desempeño para bases de datos relacionales paralelas sobre BSP
3
19
An evaluation of conservative protocols for Bulk-Synchronous parallel discrete-event simulation
0
20
Time Warp on BSP Computers
4

About Mauricio Marı́n

Mauricio Marı́n is a scholar working on Signal Processing, Computer Networks and Communications and Information Systems, having authored 95 papers that have together received 698 indexed citations. Recurring topics across this work include Data Management and Algorithms (28 papers), Algorithms and Data Compression (25 papers) and Caching and Content Delivery (16 papers). The work is most often cited by research in Computer Networks and Communications (331 citations), Signal Processing (140 citations) and Information Systems (242 citations). Mauricio Marı́n has collaborated with scholars based in Chile, Argentina and United Kingdom. Frequent co-authors include Verónica Gil-Costa, Patricio Cordero, M. Andrea Rodríguez, Carlos Castillo, Dino Risso, Ricardo Baeza‐Yates, Nora Susana Reyes, Diego Arroyuelo, Gabriel Wainer and César Marcondes. Their work appears in journals such as Bioinformatics, Journal of Computational Physics and Computer Physics Communications.

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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