Carlos Molina

615 total citations
52 papers, 343 citations indexed

About

Carlos Molina is a scholar working on Computer Networks and Communications, Hardware and Architecture and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Carlos Molina has authored 52 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Networks and Communications, 16 papers in Hardware and Architecture and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Carlos Molina's work include Parallel Computing and Optimization Techniques (16 papers), Advanced Data Storage Technologies (15 papers) and Interconnection Networks and Systems (10 papers). Carlos Molina is often cited by papers focused on Parallel Computing and Optimization Techniques (16 papers), Advanced Data Storage Technologies (15 papers) and Interconnection Networks and Systems (10 papers). Carlos Molina collaborates with scholars based in Spain, Mexico and Chile. Carlos Molina's co-authors include Antonio González, Jordi Tubella, Roc Meseguer, Alec Irwin, Jim Yong Kim, Sergio F. Ochoa, Rodrigo Santos, D. Muñoz-Rodríguez, Bart Braem and Chris Blondia and has published in prestigious journals such as Sensors, Computer Networks and Electronics.

In The Last Decade

Carlos Molina

43 papers receiving 323 citations

Peers

Carlos Molina
Comparison fields: 5 of 81
  • Computer Networks and Communications 168
  • Hardware and Architecture 131
  • Electrical and Electronic Engineering 90
  • General Health Professions 39
  • Sociology and Political Science 26
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Citations per field, relative to Carlos Molina
Carlos Molina · 1×
Citations per year, relative to Carlos Molina
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Countries citing papers authored by Carlos Molina

Since Specialization
Citations

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

Fields of papers citing papers by Carlos Molina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlos Molina

This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Molina. A scholar is included among the top collaborators of Carlos Molina 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 Carlos Molina. Carlos Molina 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 2
2 4
3 5
4 13
5 11
6 11
7
OLSRp: Predicting Control Information to Achieve Scalability in OLSR Ad Hoc Networks
4
8 9
9
Poder cardiaco como marcador pronóstico en choque cardiogénico en infarto agudo de miocardio
0
10
Perfil microbiológico en infección urinaria asociada a catéter vesicouretral
3
11 20
12 2
13 0
14 1
15 1
16 5
17 3
18
Servicios de salud en América Latina y Asia
1
19
The Performance Potential of Data Value Reuse
5
20
Gasto público en educación y distribución de subsidios en Colombia
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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