Marcio Schwaab

2.2k total citations
54 papers, 1.7k citations indexed

About

Marcio Schwaab is a scholar working on Materials Chemistry, Biomedical Engineering and Catalysis. According to data from OpenAlex, Marcio Schwaab has authored 54 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Materials Chemistry, 13 papers in Biomedical Engineering and 12 papers in Catalysis. Recurrent topics in Marcio Schwaab's work include Catalytic Processes in Materials Science (11 papers), Catalysis and Oxidation Reactions (10 papers) and Catalysts for Methane Reforming (7 papers). Marcio Schwaab is often cited by papers focused on Catalytic Processes in Materials Science (11 papers), Catalysis and Oxidation Reactions (10 papers) and Catalysts for Methane Reforming (7 papers). Marcio Schwaab collaborates with scholars based in Brazil, United Kingdom and Spain. Marcio Schwaab's co-authors include José Carlos Pinto, José Luiz Fontes Monteiro, Evaristo C. Biscaia, Elisa Barbosa-Coutinho, Enrique Luis Lima, Diego Martinez Prata, Simoní Da Ros, André L. Alberton, Márcio A. Mazutti and Matthew D. Jones and has published in prestigious journals such as Chemical Engineering Journal, International Journal of Hydrogen Energy and Journal of Materials Science.

In The Last Decade

Marcio Schwaab

49 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcio Schwaab Brazil 22 477 447 353 282 240 54 1.7k
Sandra Luz Martínez Vargas Mexico 13 422 0.9× 673 1.5× 441 1.2× 161 0.6× 108 0.5× 22 1.8k
S. Pushpavanam India 24 444 0.9× 921 2.1× 516 1.5× 170 0.6× 198 0.8× 176 2.1k
José Carlos López Spain 4 358 0.8× 435 1.0× 250 0.7× 138 0.5× 103 0.4× 8 1.3k
Reginaldo Guirardello Brazil 24 333 0.7× 809 1.8× 387 1.1× 140 0.5× 468 1.9× 99 1.8k
Hao Wen China 26 737 1.5× 673 1.5× 319 0.9× 98 0.3× 88 0.4× 154 2.5k
Saimeng Jin China 22 435 0.9× 603 1.3× 500 1.4× 860 3.0× 323 1.3× 43 2.6k
Xingang Li China 32 418 0.9× 766 1.7× 675 1.9× 1.1k 3.8× 208 0.9× 167 3.0k
Argimiro R. Secchi Brazil 25 340 0.7× 683 1.5× 300 0.8× 579 2.1× 95 0.4× 220 2.3k
Ying Xu China 31 494 1.0× 500 1.1× 468 1.3× 179 0.6× 211 0.9× 162 2.6k
Jens Abildskov Denmark 26 518 1.1× 820 1.8× 498 1.4× 539 1.9× 191 0.8× 139 2.3k

Countries citing papers authored by Marcio Schwaab

Since Specialization
Citations

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

Fields of papers citing papers by Marcio Schwaab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcio Schwaab

This figure shows the co-authorship network connecting the top 25 collaborators of Marcio Schwaab. A scholar is included among the top collaborators of Marcio Schwaab 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 Marcio Schwaab. Marcio Schwaab 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.
Concepción, Patricia, et al.. (2025). Ethane ODH with CO2 over alumina-supported Fe-Ni-O mixed oxides catalysts. Catalysis Today. 455. 115317–115317.
2.
Schwaab, Marcio, et al.. (2024). Cyclohexane dehydrogenation: Critical evaluation of parameter estimation procedures for kinetic modeling. Catalysis Today. 444. 114993–114993. 1 indexed citations
3.
Schwaab, Marcio, et al.. (2023). Generalization and Evaluation of the Analytical Solution of Intraparticle Diffusion Models in Finite Batch Adsorption. Macromolecular Reaction Engineering. 17(4). 4 indexed citations
4.
Barbosa-Coutinho, Elisa, et al.. (2022). Analysis of commonly used batch adsorption kinetic models derived from mass transfer-based modelling. Environmental Science and Pollution Research. 29(53). 79875–79889. 9 indexed citations
5.
Schwaab, Marcio, et al.. (2022). Are Empirical Models Based on the Response Surface Methodology Suitable for Biodiesel Production Optimization?. Industrial & Engineering Chemistry Research. 61(34). 12458–12472.
6.
Ros, Simoní Da, et al.. (2021). Oxidative Coupling of Methane for Ethylene Production: Reviewing Kinetic Modelling Approaches, Thermodynamics and Catalysts. Processes. 9(12). 2196–2196. 9 indexed citations
7.
Schwaab, Marcio, et al.. (2021). Sequential experimental designs for discrimination among adsorption equilibrium models. Process Safety and Environmental Protection. 170. 434–443. 7 indexed citations
8.
Ros, Simoní Da, et al.. (2020). Phenomenological approaches for quantitative temperature-programmed reduction (TPR) and desorption (TPD) analysis. Journal of Industrial and Engineering Chemistry. 94. 425–434. 9 indexed citations
9.
Kuhn, Raquel C., et al.. (2014). Avaliação da produção biotecnológica de butanol a partir de sorgo sacaríneo. 16706.
10.
Olíveira, Débora de, et al.. (2014). Mathematical Modeling of Thin Layer Drying of Papaya Seeds in a Tunnel Dryer Using Particle Swarm Optimization Method. Particulate Science And Technology. 32(2). 123–130. 9 indexed citations
11.
Mello, Josiane Maria Muneron de, Selene Maria de Arruda Guelli Ulson de Souza, Antônio Augusto Ulson de Souza, et al.. (2014). Statistical Evaluation of Biochemical Kinetic Models for BTX Degradation. Industrial & Engineering Chemistry Research. 53(50). 19416–19425. 8 indexed citations
12.
Schwaab, Marcio, et al.. (2013). Comparison between Linear and Nonlinear Regression in a Laboratory Heat Transfer Experiment.. Chemical Engineering Education. 47(3). 161–169.
13.
Kuhn, Raquel C., et al.. (2013). Technological Prospection for Biobutanol Production. Recent Patents on Engineering. 7(2). 115–124.
14.
Schwaab, Marcio, Márcio A. Mazutti, Mariana M. Bassaco, et al.. (2013). Use of papaya seeds as a biosorbent of methylene blue from aqueous solution. Water Science & Technology. 68(2). 441–447. 39 indexed citations
15.
Alberton, André L., et al.. (2012). Design of experiments for discrimination of rival models based on the expected number of eliminated models. Chemical Engineering Science. 75. 120–131. 7 indexed citations
16.
Alberton, André L., et al.. (2011). Critical Analysis of Kinetic Modeling Procedures. International Journal of Chemical Reactor Engineering. 9(1). 5 indexed citations
17.
Schwaab, Marcio, et al.. (2008). Optimum reference temperature for reparameterization of the Arrhenius equation. Part 2: Problems involving multiple reparameterizations. Chemical Engineering Science. 63(11). 2895–2906. 99 indexed citations
18.
Toniolo, Fabio Souza, et al.. (2008). Kinetics of the catalytic combustion of diesel soot with MoO3/Al2O3 catalyst from thermogravimetric analyses. Applied Catalysis A General. 342(1-2). 87–92. 22 indexed citations
19.
Schwaab, Marcio, José Luiz Fontes Monteiro, & José Carlos Pinto. (2008). Sequential experimental design for model discrimination. Chemical Engineering Science. 63(9). 2408–2419. 30 indexed citations
20.
Schwaab, Marcio, et al.. (2006). A new approach for sequential experimental design for model discrimination. Chemical Engineering Science. 61(17). 5791–5806. 49 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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