Maria Bevilacqua

31 total papers · 1.2k total citations
24 papers, 995 citations indexed

About

Maria Bevilacqua is a scholar working on Materials Chemistry, Inorganic Chemistry and Biomedical Engineering. According to data from OpenAlex, Maria Bevilacqua has authored 24 papers receiving a total of 995 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Materials Chemistry, 11 papers in Inorganic Chemistry and 7 papers in Biomedical Engineering. Recurrent topics in Maria Bevilacqua's work include Zeolite Catalysis and Synthesis (11 papers), Mesoporous Materials and Catalysis (10 papers) and Catalysis and Oxidation Reactions (6 papers). Maria Bevilacqua is often cited by papers focused on Zeolite Catalysis and Synthesis (11 papers), Mesoporous Materials and Catalysis (10 papers) and Catalysis and Oxidation Reactions (6 papers). Maria Bevilacqua collaborates with scholars based in Italy, Mexico and United States. Maria Bevilacqua's co-authors include Guido Busca, Tania Montanari, Tiziana Armaroli, Andrea Di Matteo, Luca De Stefano, Principia Dardano, T. Montanari, Elisabetta Finocchio, Valentin Valtchev and Mathieu Digne and has published in prestigious journals such as Physical review. B, Condensed matter, The Journal of Physical Chemistry B and The Journal of Physical Chemistry C.

In The Last Decade

Maria Bevilacqua

24 papers receiving 984 citations

Author Peers

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

Author Last Decade Papers Cites
Maria Bevilacqua 594 450 303 166 164 24 995
Li-Qiong Wang 721 1.2× 217 0.5× 53 0.2× 167 1.0× 44 0.3× 15 1.1k
Juan M. Asensio 405 0.7× 150 0.3× 225 0.7× 235 1.4× 174 1.1× 30 898
Alwin Friedrich 369 0.6× 226 0.5× 207 0.7× 155 0.9× 93 0.6× 31 804
Daravong Soulivong 658 1.1× 386 0.9× 204 0.7× 50 0.3× 166 1.0× 27 1.2k
Sajo P. Naik 711 1.2× 283 0.6× 183 0.6× 130 0.8× 108 0.7× 35 999
A. I. Rebrov 427 0.7× 404 0.9× 158 0.5× 172 1.0× 436 2.7× 28 1.0k
Zakariae Amghouz 821 1.4× 229 0.5× 245 0.8× 156 0.9× 76 0.5× 30 1.2k
G.A. Martin 846 1.4× 233 0.5× 641 2.1× 104 0.6× 215 1.3× 32 1.0k
Pierre‐Yves Dugas 462 0.8× 85 0.2× 36 0.1× 132 0.8× 53 0.3× 44 1.0k
Ángel M. Martínez-Villacorta 518 0.9× 133 0.3× 192 0.6× 262 1.6× 58 0.4× 23 959

Countries citing papers authored by Maria Bevilacqua

Since Specialization
Citations

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

Fields of papers citing papers by Maria Bevilacqua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Bevilacqua

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