José P. S. Aniceto

472 total citations
21 papers, 366 citations indexed

About

José P. S. Aniceto is a scholar working on Biomedical Engineering, Molecular Biology and Spectroscopy. According to data from OpenAlex, José P. S. Aniceto has authored 21 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Biomedical Engineering, 7 papers in Molecular Biology and 6 papers in Spectroscopy. Recurrent topics in José P. S. Aniceto's work include Chemical and Physical Properties in Aqueous Solutions (5 papers), Analytical Chemistry and Chromatography (4 papers) and Phase Equilibria and Thermodynamics (4 papers). José P. S. Aniceto is often cited by papers focused on Chemical and Physical Properties in Aqueous Solutions (5 papers), Analytical Chemistry and Chromatography (4 papers) and Phase Equilibria and Thermodynamics (4 papers). José P. S. Aniceto collaborates with scholars based in Portugal, Italy and Palestinian Territory. José P. S. Aniceto's co-authors include Carlos M. Silva, Patrícia F. Lito, Inês Portugal, Simão P. Cardoso, Adélio Mendes, Fernando M. J. Domingues, Luísa S. Serafim, Dmitry V. Evtuguin, Myriam Lopes and Rita Marques and has published in prestigious journals such as Chemical Engineering Journal, Sensors and Desalination.

In The Last Decade

José P. S. Aniceto

21 papers receiving 358 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
José P. S. Aniceto Portugal 10 158 80 72 57 51 21 366
Pengfei Jiao China 12 114 0.7× 117 1.5× 63 0.9× 61 1.1× 43 0.8× 39 390
Mélanie Mignot France 14 171 1.1× 48 0.6× 68 0.9× 95 1.7× 130 2.5× 45 488
Yingbo Xu China 14 176 1.1× 42 0.5× 27 0.4× 66 1.2× 34 0.7× 28 425
Xinhao Yang China 12 104 0.7× 133 1.7× 43 0.6× 31 0.5× 75 1.5× 36 774
Mohammad Norazmi Ahmad Malaysia 13 57 0.4× 52 0.7× 55 0.8× 109 1.9× 28 0.5× 47 439
Hamed Sahebi Iran 11 70 0.4× 43 0.5× 33 0.5× 66 1.2× 65 1.3× 23 424
Marcela Zanetti Corazza Brazil 14 69 0.4× 43 0.5× 98 1.4× 88 1.5× 160 3.1× 32 630
Yingmin Liao China 13 150 0.9× 42 0.5× 101 1.4× 83 1.5× 34 0.7× 26 483
Md. Fazlul Bari Malaysia 7 138 0.9× 26 0.3× 68 0.9× 46 0.8× 18 0.4× 11 405

Countries citing papers authored by José P. S. Aniceto

Since Specialization
Citations

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

Fields of papers citing papers by José P. S. Aniceto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José P. S. Aniceto. 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 José P. S. Aniceto. The network helps show where José P. S. Aniceto may publish in the future.

Co-authorship network of co-authors of José P. S. Aniceto

This figure shows the co-authorship network connecting the top 25 collaborators of José P. S. Aniceto. A scholar is included among the top collaborators of José P. S. Aniceto 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 José P. S. Aniceto. José P. S. Aniceto 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
1.
Lise, Federica De, Oliviero Sacco, Rachele Isticato, et al.. (2025). Carbohydrate conversion in spent coffee grounds: pretreatment strategies and novel enzymatic cocktail to produce value-added saccharides and prebiotic mannooligosaccharides. Biotechnology for Biofuels and Bioproducts. 18(1). 2–2. 4 indexed citations
2.
Portugal, Inês, et al.. (2024). Machine Learning model for the prediction of self-diffusion coefficients in liquids, compressed gases and supercritical fluids. Chemical Engineering Journal. 495. 153274–153274. 5 indexed citations
3.
Aniceto, José P. S., et al.. (2024). Low-Cost Sensor Network for Air Quality Assessment in Cabo Verde Islands. Sensors. 24(23). 7656–7656. 2 indexed citations
4.
Aniceto, José P. S., et al.. (2024). Prediction of diffusion coefficients in aqueous systems by machine learning models. Journal of Molecular Liquids. 405. 125009–125009. 6 indexed citations
5.
Evtuguin, Dmitry V., José P. S. Aniceto, Rita Marques, et al.. (2023). Obtaining Value from Wine Wastes: Paving the Way for Sustainable Development. Fermentation. 10(1). 24–24. 6 indexed citations
6.
Aniceto, José P. S., et al.. (2021). Valorization of Tomato Residues by Supercritical Fluid Extraction. Processes. 10(1). 28–28. 25 indexed citations
7.
Aniceto, José P. S., et al.. (2021). Predictive Models for the Binary Diffusion Coefficient at Infinite Dilution in Polar and Nonpolar Fluids. Materials. 14(3). 542–542. 15 indexed citations
8.
Aniceto, José P. S., et al.. (2021). Machine learning models for the prediction of diffusivities in supercritical CO2 systems. Journal of Molecular Liquids. 326. 115281–115281. 30 indexed citations
9.
Aniceto, José P. S., et al.. (2020). Enhanced separation of bioactive triterpenic acids with a triacontylsilyl silica gel adsorbent: From impulse and breakthrough experiments to the design of a simulated moving bed unit. Separation and Purification Technology. 248. 116991–116991. 7 indexed citations
10.
Aniceto, José P. S., et al.. (2020). Reversed-phase chromatographic separation and downstream precipitation of lupane- and oleanane-type triterpenoids: Experiments and modeling based on the method of moments. Separation and Purification Technology. 260. 118208–118208. 1 indexed citations
11.
Aniceto, José P. S., et al.. (2019). Chromatographic separation of betulinic and oleanolic acids. Separation and Purification Technology. 235. 116129–116129. 6 indexed citations
12.
Aniceto, José P. S., et al.. (2017). Design and optimization of a simulated moving bed unit for the separation of betulinic, oleanolic and ursolic acids mixtures: Experimental and modeling studies. Separation and Purification Technology. 192. 401–411. 19 indexed citations
13.
Aniceto, José P. S., Simão P. Cardoso, & Carlos M. Silva. (2016). General optimization strategy of simulated moving bed units through design of experiments and response surface methodologies. Computers & Chemical Engineering. 90. 161–170. 28 indexed citations
14.
Aniceto, José P. S. & Carlos M. Silva. (2013). Simulated Moving Bed Strategies and Designs: From Established Systems to the Latest Developments. Separation and Purification Reviews. 44(1). 41–73. 37 indexed citations
15.
Lito, Patrícia F., José P. S. Aniceto, & Carlos M. Silva. (2013). Modelling ion exchange kinetics in zeolyte-type materials using Maxwell-Stefan approach. Desalination and Water Treatment. 52(28-30). 5333–5342. 8 indexed citations
16.
Lito, Patrícia F., José P. S. Aniceto, & Carlos M. Silva. (2013). Maxwell–Stefan based modelling of ion exchange systems containing common species (Cd2+, Na+) and distinct sorbents (ETS-4, ETS-10). International Journal of Environmental Science and Technology. 12(1). 183–192. 9 indexed citations
17.
Aniceto, José P. S., Inês Portugal, & Carlos M. Silva. (2012). Biomass‐Based Polyols through Oxypropylation Reaction. ChemSusChem. 5(8). 1358–1368. 64 indexed citations
18.
Lito, Patrícia F., José P. S. Aniceto, & Carlos M. Silva. (2012). Removal of Anionic Pollutants from Waters and Wastewaters and Materials Perspective for Their Selective Sorption. Water Air & Soil Pollution. 223(9). 6133–6155. 68 indexed citations
19.
Aniceto, José P. S., et al.. (2012). Modeling ion exchange equilibrium of ternary systems using neural networks. Desalination. 309. 267–274. 6 indexed citations
20.
Aniceto, José P. S., et al.. (2012). Modeling ion exchange equilibrium: Analysis of exchanger phase non-ideality. Desalination. 290. 43–53. 16 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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