Alejandro Vignoni
Impact in
- Control and Systems Engineering top 10%
- Advanced Control Systems Optimization
- Adaptive Control of Nonlinear Systems
- Fault Detection and Control Systems
- Stability and Control of Uncertain Systems
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- Gene Regulatory Network Analysis
- Viral Infectious Diseases and Gene Expression in Insects
- Microbial Metabolic Engineering and Bioproduction
- CRISPR and Genetic Engineering
Papers in
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- Gene Regulatory Network Analysis 28
- Viral Infectious Diseases and Gene Expression in Insects 17
- Microbial Metabolic Engineering and Bioproduction 13
- Single-cell and spatial transcriptomics 5
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- Molecular Communication and Nanonetworks 4
- Co-authors
- Jesús Picó (35 shared papers)Yadira Boada (28 shared papers)Hernán De Battista (8 shared papers)Fabricio Garelli (8 shared papers)Gilberto Reynoso-Meza (4 shared papers)Pablo Carbonell (1 shared paper)Guy‐Bart Stan (1 shared paper)Diego A. Oyarzún (2 shared papers)
In The Last Decade
Alejandro Vignoni
39 papers receiving 334 citations
Peers
Comparison fields: 5 of 70
- Control and Systems Engineering 103
- Molecular Biology 217
- Biophysics 14
- Biomedical Engineering 59
- Biotechnology 11
Countries citing papers authored by Alejandro Vignoni
This map shows the geographic impact of Alejandro Vignoni'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 Alejandro Vignoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alejandro Vignoni more than expected).
Fields of papers citing papers by Alejandro Vignoni
This network shows the impact of papers produced by Alejandro Vignoni. 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 Alejandro Vignoni. The network helps show where Alejandro Vignoni may publish in the future.
Co-authors
The 25 scholars most cited alongside Alejandro Vignoni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 46 | |
| 2 | 2020 | 41 | |
| 3 | 2016 | 33 | |
| 4 | 2011 | 26 | |
| 5 | 2013 | 23 | |
| 6 | 2021 | 16 | |
| 7 | 2017 | 15 | |
| 8 | 2013 | 15 | |
| 9 | 2019 | 13 | |
| 10 | 2019 | 12 | |
| 11 | 2023 | 10 | |
| 12 | 2021 | 10 | |
| 13 | 2023 | 7 | |
| 14 | 2012 | 6 | |
| 15 | 2015 | 6 | |
| 16 | 2015 | 5 | |
| 17 | 2021 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2021 | 4 |
About Alejandro Vignoni
Alejandro Vignoni is a scholar working on Molecular Biology, Biomedical Engineering, Control and Systems Engineering, Computer Networks and Communications and Artificial Intelligence, having authored 44 papers that have together received 339 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (28 papers), Viral Infectious Diseases and Gene Expression in Insects (17 papers), Microbial Metabolic Engineering and Bioproduction (13 papers), Single-cell and spatial transcriptomics (5 papers), Distributed Control Multi-Agent Systems (5 papers), Advanced Control Systems Optimization (4 papers), Evolutionary Algorithms and Applications (4 papers) and Molecular Communication and Nanonetworks (4 papers). The work is most often cited by research in Control and Systems Engineering (103 citations), Molecular Biology (217 citations), Biophysics (14 citations), Biomedical Engineering (59 citations) and Biotechnology (11 citations). Alejandro Vignoni has collaborated with scholars based in Spain, Argentina and Germany. Frequent co-authors include Jesús Picó, Yadira Boada, Hernán De Battista, Fabricio Garelli, Gilberto Reynoso-Meza, Pablo Carbonell, Guy‐Bart Stan, Diego A. Oyarzún, Eloísa Jantus‐Lewintre and J.L. Navarro. Their work appears in journals such as ACS Synthetic Biology, IFAC-PapersOnLine, iScience, Dyes and Pigments and BMC Systems Biology.
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.