Eva Balsa‐Canto

4.4k citations
99 papers · 3.0k indexed · h-index 31
Topics
Gene Regulatory Network Analysis (33 papers)Advanced Control Systems Optimization (32 papers)Microbial Metabolic Engineering and Bioproduction (30 papers)

In The Last Decade

Eva Balsa‐Canto

95 papers receiving 2.9k citations

Peers

Eva Balsa‐Canto
Comparison fields: 5 of 160
  • Molecular Biology 1.4k
  • Control and Systems Engineering 714
  • Food Science 358
  • Computational Theory and Mathematics 334
  • Biomedical Engineering 234
Replace Antonio A. Alonso with:
Antonio A. Alonso Spain
Denis Dochain Belgium
Julio R. Banga Spain
José A. Egea Spain
Lin Huang China
Donghui Li China
Vincent Fromion France
Roberto Kawakami Harrop Galvão Brazil
Gregor Kosec Slovenia
Carmen G. Moles Spain
Eva Balsa‐Canto relative to Antonio A. Alonso Spain Antonio A. Alonso's profile →
Citations per field
00.5×1.5×
Antonio A. Alonso · 1×
Citations per year

Countries citing papers authored by Eva Balsa‐Canto

Since Specialization
Citations

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

Fields of papers citing papers by Eva Balsa‐Canto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva Balsa‐Canto. 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 Eva Balsa‐Canto. The network helps show where Eva Balsa‐Canto may publish in the future.

Co-authorship network of co-authors of Eva Balsa‐Canto

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Balsa‐Canto. A scholar is included among the top collaborators of Eva Balsa‐Canto 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 Eva Balsa‐Canto. Eva Balsa‐Canto 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
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Application of a control vector parameterization method using an interior point algorithm
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About Eva Balsa‐Canto

Eva Balsa‐Canto is a scholar working on Numerical Analysis, Control and Systems Engineering and Food Science, having authored 99 papers that have together received 3.0k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (33 papers), Advanced Control Systems Optimization (32 papers) and Microbial Metabolic Engineering and Bioproduction (30 papers). The work is most often cited by research in Control and Systems Engineering (714 citations), Modeling and Simulation (129 citations) and Biotechnology (209 citations). Eva Balsa‐Canto has collaborated with scholars based in Spain, United Kingdom and Germany. Frequent co-authors include Julio R. Banga, Antonio A. Alonso, Carmen G. Moles, Vassilios S. Vassiliadis, David Henriques, Alejandro F. Villaverde, Míriam R. García, José A. Egea, Carlos Vilas and Attila Gábor. Their work appears in journals such as Environmental Science & Technology, Bioinformatics and PLoS ONE.

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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