Lina Garcés

463 total citations
29 papers, 221 citations indexed

About

Lina Garcés is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Lina Garcés has authored 29 papers receiving a total of 221 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 16 papers in Information Systems and 9 papers in Computer Networks and Communications. Recurrent topics in Lina Garcés's work include Advanced Software Engineering Methodologies (19 papers), Service-Oriented Architecture and Web Services (7 papers) and Software System Performance and Reliability (7 papers). Lina Garcés is often cited by papers focused on Advanced Software Engineering Methodologies (19 papers), Service-Oriented Architecture and Web Services (7 papers) and Software System Performance and Reliability (7 papers). Lina Garcés collaborates with scholars based in Brazil, France and Spain. Lina Garcés's co-authors include Elisa Yumi Nakagawa, Paris Avgeriou, Apostolos Ampatzoglou, Flávio Oquendo, Pedro Henrique Dias Valle, Valdemar Vicente Graciano Neto, Milena Guessi, Silverio Martínez‐Fernández, Antonia Bertolino and Katia Romero Felizardo and has published in prestigious journals such as ACM Computing Surveys, Computer and Journal of Systems and Software.

In The Last Decade

Lina Garcés

26 papers receiving 211 citations

Peers

Lina Garcés
Comparison fields: 5 of 62
  • Information Systems 91
  • Artificial Intelligence 78
  • Computer Networks and Communications 72
  • Control and Systems Engineering 64
  • Computer Vision and Pattern Recognition 26
Alexandra Mazak Austria
Mohamad Gharib Italy
Sofia Anna Menesidou Greece
Jean Marcelo Simão Brazil
Luca Berardinelli Austria
Philipp Reinecke United Kingdom
Jennifer Brings Germany
Pedro Maló Portugal
Jörn Trefke Germany
Rebekka Wohlrab Sweden
Alexandra Mazak Austria View profile →
Citations per field, relative to Lina Garcés
Lina Garcés · 1×
Citations per year, relative to Lina Garcés
Lina Garcés · 1×

Countries citing papers authored by Lina Garcés

Since Specialization
Citations

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

Fields of papers citing papers by Lina Garcés

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lina Garcés

This figure shows the co-authorship network connecting the top 25 collaborators of Lina Garcés. A scholar is included among the top collaborators of Lina Garcés 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 Lina Garcés. Lina Garcés 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 1
4 6
5 6
6 11
7 0
8 8
9 4
10
Approaches for describing reference architectures: A systematic mapping study
2
11 2
12 13
13 2
14 16
15
ASAS: An Approach to Support Simulation of Smart Systems
11
16 12
17 21
18 9
19 5
20 7

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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