Rui Oliveira

6.1k total citations · 1 hit paper
116 papers, 4.0k citations indexed

About

Rui Oliveira is a scholar working on Molecular Biology, Control and Systems Engineering and Biomedical Engineering. According to data from OpenAlex, Rui Oliveira has authored 116 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Molecular Biology, 26 papers in Control and Systems Engineering and 24 papers in Biomedical Engineering. Recurrent topics in Rui Oliveira's work include Microbial Metabolic Engineering and Bioproduction (43 papers), Viral Infectious Diseases and Gene Expression in Insects (41 papers) and Advanced Control Systems Optimization (25 papers). Rui Oliveira is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (43 papers), Viral Infectious Diseases and Gene Expression in Insects (41 papers) and Advanced Control Systems Optimization (25 papers). Rui Oliveira collaborates with scholars based in Portugal, United Kingdom and Belgium. Rui Oliveira's co-authors include Maria A.M. Reis, Moritz von Stosch, Manuel J.T. Carrondo, S. Feyo de Azevedo, Paula M. Alves, Paulo C. Lemos, Luísa S. Serafim, J. Peres, Ana P. Teixeira and João M.L. Dias and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Rui Oliveira

105 papers receiving 3.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Hybrid semi-parametric modeling in process systems engineering: Past, present and future

2013 317 citations Moritz von Stosch, Rui Oliveira et al. Computers & Chemical Engineering profile →

Peers

Rui Oliveira

BIOMA

CSE

POLLU

Eugénio C. Ferreira Portugal

Christoph Herwig Austria

Giuseppe Olivieri Italy

Kazuyuki Shimizu Japan

Maria Alice Zarur Coelho Brazil

Andrew J. Daugulis Canada

Maria Regina Wolf Maciel Brazil

Jong‐In Han South Korea

W.‐D. Deckwer Germany

М. Мота Portugal

Eugénio C. Ferreira Portugal

Rui Oliveira

2.0k ×1.1

1.1k ×1.3

162 ×0.2

BIOMA

448 ×0.7

CSE

1.0k ×1.6

POLLU

Citations per year, relative to Rui Oliveira Rui Oliveira (= 1×) peers Eugénio C. Ferreira

Countries citing papers authored by Rui Oliveira

Since Specialization

Citations

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

Fields of papers citing papers by Rui Oliveira

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rui Oliveira

This figure shows the co-authorship network connecting the top 25 collaborators of Rui Oliveira. A scholar is included among the top collaborators of Rui Oliveira 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 Rui Oliveira. Rui Oliveira is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Serafim, Luísa S., Paulo C. Lemos, Rui Oliveira, A.M. Ramos, & Maria A.M. Reis. (2026). High storage of PHB by mixed microbial cultures under aerobic dynamic feeding conditions. 479–482.

Badenes, Sara M., et al.. (2025). A Review of Intelligent Modeling for Microalgae Systems: Integrating Data Mining, Machine Learning, and Hybrid Approaches. Processes. 13(9). 2956–2956.

Kröger, Andrea, et al.. (2025). Proteomic Analysis of Plants with Binding Immunoglobulin Protein Overexpression Reveals Mechanisms Related to Defense Against Moniliophthora perniciosa. Plants. 14(4). 503–503.

Pinto, José M., Cristiana A.V. Torres, Filomena Freitas, et al.. (2025). Bioprocess model-predictive control with physics-informed neural networks: Driving microbiome evolution toward high polyhydroxyalkanoates production capacity. Journal of Process Control. 156. 103594–103594.

Oliveira, Rui, et al.. (2025). As condições do nascer: perfil da saúde materno infantil em indígenas no Amazonas. OBSERVATÓRIO DE LA ECONOMÍA LATINOAMERICANA. 23(1). e8607–e8607.

Cosme, Fernanda, Rui Oliveira, Luı́s Filipe-Ribeiro, & Fernando M. Nunes. (2024). Wine Volatilome as Affected by Tartaric Stabilization Treatments: Cold Stabilization, Carboxymethylcellulose and Metatartaric Acid. Foods. 13(17). 2734–2734. 3 indexed citations

Pinto, José M., et al.. (2023). SBML2HYB: a Python interface for SBML compatible hybrid modeling. Bioinformatics. 39(1). 5 indexed citations

Pinto, José M., et al.. (2023). Hybrid Deep Modeling of a GS115 (Mut+) Pichia pastoris Culture with State–Space Reduction. Fermentation. 9(7). 643–643. 6 indexed citations

Bogojević, Sanja Škaro, Sandra Vojnović, Rui Oliveira, et al.. (2023). Upcycling of food waste streams to valuable biopigments pyocyanin and 1-hydroxyphenazine. Enzyme and Microbial Technology. 171. 110322–110322. 7 indexed citations

10.

Pinto, José M., et al.. (2023). A General Hybrid Modeling Framework for Systems Biology Applications: Combining Mechanistic Knowledge with Deep Neural Networks under the SBML Standard. SHILAP Revista de lepidopterología. 4(1). 303–318. 15 indexed citations

11.

Pinto, José M., et al.. (2023). Hybrid deep modeling of a CHO-K1 fed-batch process: combining first-principles with deep neural networks. Frontiers in Bioengineering and Biotechnology. 11. 1237963–1237963. 14 indexed citations

12.

Mendes, Jorge M., et al.. (2023). From Shallow to Deep Bioprocess Hybrid Modeling: Advances and Future Perspectives. Fermentation. 9(10). 922–922. 14 indexed citations

13.

Pinto, José M., et al.. (2022). A general deep hybrid model for bioreactor systems: Combining first principles with deep neural networks. Computers & Chemical Engineering. 165. 107952–107952. 38 indexed citations

14.

Stosch, Moritz von, A.M. Ramos, M. Margarida Cardoso, et al.. (2017). Modeling of the burst release from PLGA micro- and nanoparticles as function of physicochemical parameters and formulation characteristics. International Journal of Pharmaceutics. 532(1). 229–240. 96 indexed citations

15.

Portela, Rui M. C., et al.. (2016). Hybrid metabolic flux analysis and recombinant protein prediction in Pichia pastoris X-33 cultures expressing a single-chain antibody fragment. Bioprocess and Biosystems Engineering. 39(9). 1351–1363. 16 indexed citations

16.

Carinhas, Nuno, Rui Oliveira, Paula M. Alves, Manuel J.T. Carrondo, & Ana P. Teixeira. (2012). Systems biotechnology of animal cells: the road to prediction. Trends in biotechnology. 30(7). 377–385. 30 indexed citations

17.

Albuquerque, M.G.E., et al.. (2012). Flux balance analysis of mixed microbial cultures: Application to the production of polyhydroxyalkanoates from complex mixtures of volatile fatty acids. Journal of Biotechnology. 162(2-3). 336–345. 55 indexed citations

18.

Carinhas, Nuno, Aaron M. Robitaille, Suzette Moes, et al.. (2011). Quantitative Proteomics of Spodoptera frugiperda Cells during Growth and Baculovirus Infection. PLoS ONE. 6(10). e26444–e26444. 29 indexed citations

19.

Freitas, Filomena, Vítor D. Alves, Joana Pais, et al.. (2009). Production of a new exopolysaccharide (EPS) by Pseudomonas oleovorans NRRL B-14682 grown on glycerol. Process Biochemistry. 45(3). 297–305. 35 indexed citations

20.

Oliveira, Rui. (2004). Combining first principles modelling and artificial neural networks: a general framework. Computers & Chemical Engineering. 28(5). 755–766. 121 indexed citations

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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