Verónica Gil-Costa

768 citations
71 papers · 354 indexed · h-index 10
Topics
Data Management and Algorithms (22 papers)Algorithms and Data Compression (17 papers)Cloud Computing and Resource Management (14 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE AccessFuture Generation Computer Systems
Partner nations
ArgentinaChileBrazil

In The Last Decade

Verónica Gil-Costa

62 papers receiving 333 citations

Peers

Verónica Gil-Costa
Comparison fields: 5 of 57
  • Computer Networks and Communications 191
  • Information Systems 109
  • Artificial Intelligence 103
  • Signal Processing 100
  • Computer Vision and Pattern Recognition 89
Replace Kee Siong Ng with:
Kee Siong Ng Australia
Christos Papadopoulos United States
Vasiliki Kalavri Sweden
Lorie M. Liebrock United States
Soon J. Hyun South Korea
Myungcheol Doo United States
Jinqiao Shi China
Chunbin Lin United States
Elankayer Sithirasenan Australia
Verónica Gil-Costa relative to Kee Siong Ng Australia Kee Siong Ng's profile →
Citations per field
00.5×1.5×2.2×
Kee Siong Ng · 1×
Citations per year

Countries citing papers authored by Verónica Gil-Costa

Since Specialization
Citations

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

Fields of papers citing papers by Verónica Gil-Costa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Verónica Gil-Costa. 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 Verónica Gil-Costa. The network helps show where Verónica Gil-Costa may publish in the future.

Co-authorship network of co-authors of Verónica Gil-Costa

This figure shows the co-authorship network connecting the top 25 collaborators of Verónica Gil-Costa. A scholar is included among the top collaborators of Verónica Gil-Costa 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 Verónica Gil-Costa. Verónica Gil-Costa 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
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3 5
4 1
5
Aspectos de Seguridad en Internet de las Cosas
0
6 1
7
Simulación aplicada al cálculo de capacidades de almacenamiento y stock piles
0
8 1
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10 7
11 0
12 7
13 10
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17 6
18 0
19 11
20 4

About Verónica Gil-Costa

Verónica Gil-Costa is a scholar working on Signal Processing, Computer Networks and Communications and Information Systems, having authored 71 papers that have together received 354 indexed citations. Recurring topics across this work include Data Management and Algorithms (22 papers), Algorithms and Data Compression (17 papers) and Cloud Computing and Resource Management (14 papers). The work is most often cited by research in Signal Processing (100 citations), Computer Networks and Communications (191 citations) and Information Systems (109 citations). Verónica Gil-Costa has collaborated with scholars based in Argentina, Chile and Brazil. Frequent co-authors include Mauricio Marı́n, Gabriel Wainer, Nora Susana Reyes, César Marcondes, Giovanni Ramponi, M.L. Crespo, Luciana Arantes, Diego Arroyuelo, Marcelo Mendoza and Ricardo J. Barrientos. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Future Generation Computer Systems.

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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