Aurora Pozo

2.2k citations
136 papers · 1.5k indexed · h-index 21
Topics
Metaheuristic Optimization Algorithms Research (74 papers)Advanced Multi-Objective Optimization Algorithms (57 papers)Evolutionary Algorithms and Applications (53 papers)
Journals
SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsBMC Bioinformatics
Partner nations
BrazilSpainFrance

In The Last Decade

Aurora Pozo

130 papers receiving 1.3k citations

Peers

Aurora Pozo
Comparison fields: 5 of 101
  • Artificial Intelligence 673
  • Information Systems 474
  • Software 461
  • Computational Theory and Mathematics 433
  • Industrial and Manufacturing Engineering 147
Replace Vahid Khatibi Bardsiri with:
Vahid Khatibi Bardsiri Iran
Zuohua Ding China
Francisco Chicano Spain
Amrit Lal Sangal India
David Broman Sweden
Peijun Ma China
Mariëlle Stoelinga Netherlands
Enrico Vicario Italy
Mohammed Alweshah Jordan
Jitender Kumar Chhabra India
Aurora Pozo relative to Vahid Khatibi Bardsiri Iran Vahid Khatibi Bardsiri's profile →
Citations per field
00.5×10×15×
Vahid Khatibi Bardsiri · 1×
Citations per year

Countries citing papers authored by Aurora Pozo

Since Specialization
Citations

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

Fields of papers citing papers by Aurora Pozo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aurora Pozo

This figure shows the co-authorship network connecting the top 25 collaborators of Aurora Pozo. A scholar is included among the top collaborators of Aurora Pozo 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 Aurora Pozo. Aurora Pozo 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 3
2 0
3 1
4 14
5 9
6 2
7 5
8 16
9 3
10 40
11 8
12 4
13 33
14 3
15 4
16 5
17
XML Schema Evolution by Context Free Grammar Inference.
0
18 3
19 16
20
Using phenotypic sharing in a classifier tool
1

About Aurora Pozo

Aurora Pozo is a scholar working on Software, Computational Theory and Mathematics and Artificial Intelligence, having authored 136 papers that have together received 1.5k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (74 papers), Advanced Multi-Objective Optimization Algorithms (57 papers) and Evolutionary Algorithms and Applications (53 papers). The work is most often cited by research in Software (461 citations), Computational Theory and Mathematics (433 citations) and Information Systems (474 citations). Aurora Pozo has collaborated with scholars based in Brazil, Spain and France. Frequent co-authors include Sílvia Regina Vergílio, Roberto Santana, Wesley K. G. Assunção, Thelma Elita Colanzi, Elias P. Duarte, Richard A. Gonçalves, Jackson Prado Lima, Alexander Mendiburu, Bruno H. Meyer and Carolina P. Almeida. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and BMC Bioinformatics.

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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