Débora A.S. Maia

29 total papers · 481 total citations
24 papers, 389 citations indexed

About

Débora A.S. Maia is a scholar working on Mechanical Engineering, Inorganic Chemistry and Biomedical Engineering. According to data from OpenAlex, Débora A.S. Maia has authored 24 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Mechanical Engineering, 11 papers in Inorganic Chemistry and 9 papers in Biomedical Engineering. Recurrent topics in Débora A.S. Maia's work include Carbon Dioxide Capture Technologies (11 papers), Membrane Separation and Gas Transport (11 papers) and Zeolite Catalysis and Synthesis (10 papers). Débora A.S. Maia is often cited by papers focused on Carbon Dioxide Capture Technologies (11 papers), Membrane Separation and Gas Transport (11 papers) and Zeolite Catalysis and Synthesis (10 papers). Débora A.S. Maia collaborates with scholars based in Brazil, Argentina and Spain. Débora A.S. Maia's co-authors include Diana C. S. Azevedo, Moisés Bastos-Neto, Enrique Vilarrasa‐García, Raúl H. López, G. Zgrablich, Enrique Rodrı́guez-Castellón, Célio L. Cavalcante, Karim Sapag, José Carlos Alexandre de Oliveira and Ebenézer de Oliveira Silva and has published in prestigious journals such as Chemical Engineering Science, Applied Surface Science and Catalysis Today.

In The Last Decade

Débora A.S. Maia

23 papers receiving 383 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Débora A.S. Maia 208 136 107 105 52 24 389
Patcharin Worathanakul 203 1.0× 110 0.8× 99 0.9× 113 1.1× 25 0.5× 25 378
Serguei Alejandro-Martín 107 0.5× 124 0.9× 157 1.5× 80 0.8× 74 1.4× 30 391
Zhengfei Ma 145 0.7× 81 0.6× 139 1.3× 154 1.5× 23 0.4× 19 405
Mansour Bazmi 216 1.0× 93 0.7× 212 2.0× 138 1.3× 23 0.4× 23 432
Shaojiang Chen 110 0.5× 93 0.7× 190 1.8× 92 0.9× 31 0.6× 21 409
Eleonora Stefanelli 187 0.9× 208 1.5× 76 0.7× 49 0.5× 58 1.1× 28 392
Elia G. Palacios 112 0.5× 142 1.0× 105 1.0× 71 0.7× 24 0.5× 30 408
Karina Rodrı́guez 81 0.4× 101 0.7× 131 1.2× 99 0.9× 27 0.5× 16 342
Wanying Han 127 0.6× 229 1.7× 76 0.7× 41 0.4× 31 0.6× 22 395
Santiago Arias 145 0.7× 205 1.5× 235 2.2× 41 0.4× 25 0.5× 31 439

Countries citing papers authored by Débora A.S. Maia

Since Specialization
Citations

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

Fields of papers citing papers by Débora A.S. Maia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Débora A.S. Maia. 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 Débora A.S. Maia. The network helps show where Débora A.S. Maia may publish in the future.

Co-authorship network of co-authors of Débora A.S. Maia

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

All Works

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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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