Prı́amo A. Melo

987 total citations
79 papers, 744 citations indexed

About

Prı́amo A. Melo is a scholar working on Biomedical Engineering, Organic Chemistry and Polymers and Plastics. According to data from OpenAlex, Prı́amo A. Melo has authored 79 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Biomedical Engineering, 23 papers in Organic Chemistry and 19 papers in Polymers and Plastics. Recurrent topics in Prı́amo A. Melo's work include Advanced Polymer Synthesis and Characterization (16 papers), Advanced Control Systems Optimization (11 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (10 papers). Prı́amo A. Melo is often cited by papers focused on Advanced Polymer Synthesis and Characterization (16 papers), Advanced Control Systems Optimization (11 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (10 papers). Prı́amo A. Melo collaborates with scholars based in Brazil, United States and Portugal. Prı́amo A. Melo's co-authors include José Carlos Pinto, Márcio Nele, Evaristo C. Biscaia, Argimiro R. Secchi, Manuel Matos, José Carlos Pinto, Fabricio Machado, Fernando Gomes de Souza, Elba P. S. Bon and C. C. Coleman and has published in prestigious journals such as Polymer, Industrial & Engineering Chemistry Research and Chemical Engineering Science.

In The Last Decade

Prı́amo A. Melo

74 papers receiving 719 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prı́amo A. Melo Brazil 16 247 183 150 140 119 79 744
Saptarshi Majumdar India 21 404 1.6× 99 0.5× 96 0.6× 157 1.1× 345 2.9× 66 1.2k
Mary T. am Ende United States 13 229 0.9× 148 0.8× 98 0.7× 80 0.6× 116 1.0× 20 959
István Csontos Hungary 19 168 0.7× 153 0.8× 326 2.2× 199 1.4× 226 1.9× 50 1.0k
Dimitrios Meimaroglou France 15 138 0.6× 216 1.2× 204 1.4× 104 0.7× 55 0.5× 33 588
Xiaoqian Chen China 17 454 1.8× 67 0.4× 126 0.8× 222 1.6× 144 1.2× 56 994
Shanshan Wang China 18 201 0.8× 189 1.0× 136 0.9× 370 2.6× 70 0.6× 51 1.4k
Qiang Tang China 18 389 1.6× 86 0.5× 58 0.4× 188 1.3× 69 0.6× 59 859
Enrique Saldívar‐Guerra Mexico 18 157 0.6× 606 3.3× 340 2.3× 231 1.6× 209 1.8× 90 1.1k
Gibaek Lee South Korea 21 510 2.1× 67 0.4× 123 0.8× 433 3.1× 147 1.2× 53 1.2k
José Carlos Pinto Brazil 16 270 1.1× 77 0.4× 156 1.0× 116 0.8× 169 1.4× 53 743

Countries citing papers authored by Prı́amo A. Melo

Since Specialization
Citations

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

Fields of papers citing papers by Prı́amo A. Melo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prı́amo A. Melo. 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 Prı́amo A. Melo. The network helps show where Prı́amo A. Melo may publish in the future.

Co-authorship network of co-authors of Prı́amo A. Melo

This figure shows the co-authorship network connecting the top 25 collaborators of Prı́amo A. Melo. A scholar is included among the top collaborators of Prı́amo A. Melo 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 Prı́amo A. Melo. Prı́amo A. Melo 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.
Melo, Prı́amo A., et al.. (2024). Synergizing Phenomenological and AI-Based Models with Industrial Data to Develop Soft Sensors for a Sour Water Treatment Unit. Processes. 12(9). 1900–1900. 1 indexed citations
2.
3.
Melo, Prı́amo A., et al.. (2024). Modeling of suspension polymerizations in continuous oscillatory baffled reactors (COBR) - Part I: Vinyl acetate polymerization. Chemical Engineering Science. 288. 119845–119845. 4 indexed citations
4.
Melo, Prı́amo A., et al.. (2023). Prediction of yield stress of waxy gels in pipelines using scaling theory and crystallization kinetics. Geoenergy Science and Engineering. 226. 211791–211791. 3 indexed citations
5.
Melo, Prı́amo A., et al.. (2023). Modeling of Particle Size Distributions in Industrial Poly(vinyl chloride) Suspension Polymerization Reactors. Processes. 11(5). 1440–1440. 6 indexed citations
6.
Melo, Prı́amo A., et al.. (2023). Multiphase flow simulation in offshore pipelines: An accurate and fast algorithm applied to real-field data. Chemical Engineering Science. 268. 118438–118438. 2 indexed citations
7.
Melo, Prı́amo A., et al.. (2023). Optimization of Grade Transitions in Bulk Poly(propylene) Polymerizations. Macromolecular Reaction Engineering. 17(4). 2 indexed citations
8.
Secchi, Argimiro R., et al.. (2022). Nonlinear dynamic analysis and numerical continuation of periodic orbits in high-index differential–algebraic equation systems. Nonlinear Dynamics. 108(2). 1495–1507. 2 indexed citations
9.
Melo, Prı́amo A., et al.. (2022). Chaotic dynamics induced by anti-slug control in offshore oil production plants. Journal of Petroleum Science and Engineering. 215. 110716–110716. 1 indexed citations
10.
Melo, Prı́amo A., et al.. (2022). Tuning of Model Predictive Controllers Based on Hybrid Optimization. Processes. 10(2). 351–351. 6 indexed citations
11.
Melo, Prı́amo A., et al.. (2019). Tuning of Model Predictive Control Based on Hybrid Optimization. IFAC-PapersOnLine. 52(1). 136–141. 2 indexed citations
12.
Melo, Prı́amo A., et al.. (2019). Development of Smart Polymer Microparticles through Suspension Polymerization for Treatment of Schistosomiasis. Macromolecular Reaction Engineering. 13(6). 4 indexed citations
13.
Melo, Prı́amo A., et al.. (2016). Comparative Analysis of Sunscreen Nanoencapsulation Processes. Macromolecular Symposia. 368(1). 60–69. 5 indexed citations
14.
Melo, Prı́amo A., et al.. (2016). Micromixing effects on the dynamic behavior of continuous free-radical solution polymerization tank reactors. Applied Mathematical Modelling. 42. 346–362. 4 indexed citations
15.
Melo, Prı́amo A., et al.. (2015). Micromixing effects on the dynamic behavior of continuous stirred tank reactors. Applied Mathematical Modelling. 40(7-8). 4778–4794. 5 indexed citations
16.
Melo, Prı́amo A., et al.. (2010). Oscillatory behaviour of an industrial slurry polyethylene reactor. The Canadian Journal of Chemical Engineering. 89(3). 582–592. 4 indexed citations
17.
Souza, Fernando Gomes de, José Carlos Pinto, Prı́amo A. Melo, et al.. (2008). New polyaniline/polycardanol conductive blends characterized by FTIR, NIR, and XPS. Polymer Engineering and Science. 48(10). 1947–1952. 23 indexed citations
18.
Nele, Márcio, et al.. (2006). Theoretical and Experimental Investigation of the Production of PMMA‐Based Bone Cement. Macromolecular Symposia. 243(1). 1–12. 21 indexed citations
19.
Machado, Fabricio, Prı́amo A. Melo, Márcio Nele, Enrique Luis Lima, & José Carlos Pinto. (2006). Liquid Pool Copolymerization of Propylene/1‐Butene with a MgCl2‐Supported Ziegler‐Natta Catalyst. Macromolecular Materials and Engineering. 291(5). 540–551. 8 indexed citations
20.
Fortuny, Montserrat, Márcio Nele, Prı́amo A. Melo, & José Carlos Pinto. (2004). Deconvolution of Molecular Weight Distributions Using Dynamic Flory‐Schulz Distributions. Macromolecular Theory and Simulations. 13(4). 355–364. 10 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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