Mónica Pinto

1.5k total citations
75 papers, 649 citations indexed

About

Mónica Pinto is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Mónica Pinto has authored 75 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Artificial Intelligence, 52 papers in Information Systems and 27 papers in Computer Networks and Communications. Recurrent topics in Mónica Pinto's work include Advanced Software Engineering Methodologies (60 papers), Service-Oriented Architecture and Web Services (42 papers) and Software System Performance and Reliability (20 papers). Mónica Pinto is often cited by papers focused on Advanced Software Engineering Methodologies (60 papers), Service-Oriented Architecture and Web Services (42 papers) and Software System Performance and Reliability (20 papers). Mónica Pinto collaborates with scholars based in Spain, United Kingdom and Brazil. Mónica Pinto's co-authors include Lidia Fuentes, José-Miguel Horcas, José M. Troya, Roberto E. Lopez-Herrejon, Alexander Egyed, Don Batory, Mohamed E. Fayad, Mercedes Amor, Jeho Oh and Daniel Jiménez and has published in prestigious journals such as IEEE Access, Sensors and Knowledge-Based Systems.

In The Last Decade

Mónica Pinto

68 papers receiving 607 citations

Peers

Mónica Pinto
Comparison fields: 5 of 59
  • Artificial Intelligence 496
  • Information Systems 453
  • Computer Networks and Communications 263
  • Software 101
  • Computer Vision and Pattern Recognition 62
Replace Massimo Tivoli with:
Massimo Tivoli Italy
Naeem Esfahani United States
Mehdi Mirakhorli United States
Vander Alves Brazil
Sam Guinea Italy
Robert B. France United States
Carlos Cetina Spain
Ömer Aslan Türkiye
Elsa L. Gunter United States
Claudia Raibulet Italy
Massimo Tivoli Italy View profile →
Citations per field, relative to Mónica Pinto
Mónica Pinto · 1×
Citations per year, relative to Mónica Pinto
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Countries citing papers authored by Mónica Pinto

Since Specialization
Citations

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

Fields of papers citing papers by Mónica Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mónica Pinto

This figure shows the co-authorship network connecting the top 25 collaborators of Mónica Pinto. A scholar is included among the top collaborators of Mónica Pinto 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 Mónica Pinto. Mónica Pinto 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 0
2 0
3 6
4 1
5 1
6 0
7 6
8 4
9 16
10 3
11 12
12 1
13 5
14 2
15 3
16
Proceedings of the 13th international workshop on Early Aspects
1
17
Experiences Refactoring Ambient Intelligence Applications with Aspects
0
18 13
19 3
20 63

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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