Ángela Millera

99 total papers · 2.3k total citations
68 papers, 1.9k citations indexed

About

Ángela Millera is a scholar working on Materials Chemistry, Fluid Flow and Transfer Processes and Biomedical Engineering. According to data from OpenAlex, Ángela Millera has authored 68 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Materials Chemistry, 38 papers in Fluid Flow and Transfer Processes and 26 papers in Biomedical Engineering. Recurrent topics in Ángela Millera's work include Catalytic Processes in Materials Science (46 papers), Advanced Combustion Engine Technologies (38 papers) and Catalysis and Oxidation Reactions (24 papers). Ángela Millera is often cited by papers focused on Catalytic Processes in Materials Science (46 papers), Advanced Combustion Engine Technologies (38 papers) and Catalysis and Oxidation Reactions (24 papers). Ángela Millera collaborates with scholars based in Spain, Ecuador and United States. Ángela Millera's co-authors include Rafael Bilbao, María U. Alzueta, María Abián, J. Arauzo, M. Pilar Ruiz, Katiuska Alexandrino, Marta Guerrero, Nazly E. Sánchez, Lorena Marrodán and Alicia Callejas and has published in prestigious journals such as Fuel, Energy and Industrial & Engineering Chemistry Research.

In The Last Decade

Ángela Millera

68 papers receiving 1.9k citations

Author Peers

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

Author Last Decade Papers Cites
Ángela Millera 991 947 924 444 233 68 1.9k
Carmela Russo 793 0.8× 642 0.7× 879 1.0× 354 0.8× 123 0.5× 82 1.9k
Henning Richter 941 0.9× 438 0.5× 717 0.8× 631 1.4× 150 0.6× 45 2.0k
Lei Zhou 1.1k 1.1× 514 0.5× 1.2k 1.3× 759 1.7× 194 0.8× 105 2.7k
Shiyan Li 708 0.7× 351 0.4× 732 0.8× 440 1.0× 90 0.4× 101 1.8k
Panayotis Dimopoulos Eggenschwiler 422 0.4× 305 0.3× 786 0.9× 485 1.1× 220 0.9× 65 1.7k
Raffaele Ragucci 1.6k 1.6× 1.2k 1.3× 711 0.8× 1.7k 3.9× 147 0.6× 114 3.1k
Yishu Xu 366 0.4× 473 0.5× 570 0.6× 353 0.8× 126 0.5× 61 1.6k
Mingyan Gu 974 1.0× 755 0.8× 1.1k 1.2× 1.1k 2.5× 303 1.3× 123 2.7k
Chonglin Song 791 0.8× 505 0.5× 1.1k 1.2× 169 0.4× 374 1.6× 68 1.9k
Reginald E. Mitchell 411 0.4× 1.1k 1.2× 721 0.8× 950 2.1× 156 0.7× 63 2.2k

Countries citing papers authored by Ángela Millera

Since Specialization
Citations

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

Fields of papers citing papers by Ángela Millera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ángela Millera

This figure shows the co-authorship network connecting the top 25 collaborators of Ángela Millera. A scholar is included among the top collaborators of Ángela Millera 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 Ángela Millera. Ángela Millera 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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