Alberto Fabrizio

1.4k total citations
27 papers, 1.0k citations indexed

About

Alberto Fabrizio is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Physical and Theoretical Chemistry. According to data from OpenAlex, Alberto Fabrizio has authored 27 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Materials Chemistry, 10 papers in Atomic and Molecular Physics, and Optics and 8 papers in Physical and Theoretical Chemistry. Recurrent topics in Alberto Fabrizio's work include Machine Learning in Materials Science (15 papers), Advanced Chemical Physics Studies (8 papers) and Computational Drug Discovery Methods (7 papers). Alberto Fabrizio is often cited by papers focused on Machine Learning in Materials Science (15 papers), Advanced Chemical Physics Studies (8 papers) and Computational Drug Discovery Methods (7 papers). Alberto Fabrizio collaborates with scholars based in Switzerland, France and Spain. Alberto Fabrizio's co-authors include Clémence Corminbœuf, Benjamin Meyer, Michele Ceriotti, Andrea Grisafi, David M. Wilkins, Antonio Prlj, Ivica Živković, Luciano Barluzzi, Farzaneh Fadaei‐Tirani and Marinella Mazzanti and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Chemical Physics and The Journal of Physical Chemistry C.

In The Last Decade

Alberto Fabrizio

27 papers receiving 1000 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alberto Fabrizio Switzerland 16 650 251 232 181 159 27 1.0k
Jonny Proppe Germany 15 585 0.9× 182 0.7× 223 1.0× 151 0.8× 158 1.0× 33 1.0k
Kjell Jorner Sweden 21 935 1.4× 919 3.7× 243 1.0× 144 0.8× 370 2.3× 44 1.8k
François Gilardoni Switzerland 16 343 0.5× 348 1.4× 119 0.5× 95 0.5× 125 0.8× 23 943
Detlef W. M. Hofmann Germany 14 676 1.0× 235 0.9× 153 0.7× 154 0.9× 146 0.9× 26 1.2k
Maksim Kulichenko United States 17 458 0.7× 149 0.6× 101 0.4× 101 0.6× 75 0.5× 28 689
Fu Kit Sheong Hong Kong 21 363 0.6× 533 2.1× 72 0.3× 95 0.5× 148 0.9× 54 1.3k
Makito Takagi Japan 11 362 0.6× 153 0.6× 54 0.2× 120 0.7× 103 0.6× 28 613
Tomomi Shimazaki Japan 20 709 1.1× 67 0.3× 147 0.6× 423 2.3× 391 2.5× 63 1.4k
Thomas Cauchy France 24 917 1.4× 425 1.7× 97 0.4× 119 0.7× 366 2.3× 69 1.8k

Countries citing papers authored by Alberto Fabrizio

Since Specialization
Citations

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

Fields of papers citing papers by Alberto Fabrizio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alberto Fabrizio

This figure shows the co-authorship network connecting the top 25 collaborators of Alberto Fabrizio. A scholar is included among the top collaborators of Alberto Fabrizio 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 Alberto Fabrizio. Alberto Fabrizio 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.
Fabrizio, Alberto, et al.. (2024). SPAHM(a,b): Encoding the Density Information from Guess Hamiltonian in Quantum Machine Learning Representations. Journal of Chemical Theory and Computation. 20(3). 1108–1117. 6 indexed citations
2.
Fabrizio, Alberto, et al.. (2022). Physics-based representations for machine learning properties of chemical reactions. Machine Learning Science and Technology. 3(4). 45005–45005. 21 indexed citations
3.
Laplaza, Rubén, et al.. (2022). OSCAR: an extensive repository of chemically and functionally diverse organocatalysts. Chemical Science. 13(46). 13782–13794. 23 indexed citations
4.
Wodrich, Matthew D., Alberto Fabrizio, Benjamin Meyer, & Clémence Corminbœuf. (2020). Data-powered augmented volcano plots for homogeneous catalysis. Chemical Science. 11(44). 12070–12080. 28 indexed citations
5.
Fabrizio, Alberto, et al.. (2020). Learning (from) the Electron Density: Transferability, Conformational and Chemical Diversity. CHIMIA International Journal for Chemistry. 74(4). 232–232. 7 indexed citations
6.
Fabrizio, Alberto, et al.. (2020). Hamiltonian-Reservoir Replica Exchange and Machine Learning Potentials for Computational Organic Chemistry. Journal of Chemical Theory and Computation. 16(5). 3084–3094. 15 indexed citations
7.
Palumbo, Chad T., Luciano Barluzzi, Rosario Scopelliti, et al.. (2019). Tuning the structure, reactivity and magnetic communication of nitride-bridged uranium complexes with the ancillary ligands. Chemical Science. 10(38). 8840–8849. 33 indexed citations
8.
Sawatlon, Boodsarin, Matthew D. Wodrich, Benjamin Meyer, Alberto Fabrizio, & Clémence Corminbœuf. (2019). Data Mining the C−C Cross‐Coupling Genome. ChemCatChem. 11(16). 4096–4107. 21 indexed citations
9.
Fabrizio, Alberto, et al.. (2019). Quantum Chemistry Meets Machine Learning. CHIMIA International Journal for Chemistry. 73(12). 983–983. 8 indexed citations
10.
Liu, Junzhi, Shantanu Mishra, Carlo A. Pignedoli, et al.. (2019). Open-Shell Nonbenzenoid Nanographenes Containing Two Pairs of Pentagonal and Heptagonal Rings. Journal of the American Chemical Society. 141(30). 12011–12020. 147 indexed citations
11.
Ruggi, Albert, Anne‐Sophie Chauvin, Rosario Scopelliti, et al.. (2019). Highly Substituted Δ3‐1,2,3‐Triazolines: Solid‐State Emitters with Electrofluorochromic Behavior. Chemistry - A European Journal. 25(27). 6718–6721. 10 indexed citations
12.
Fabrizio, Alberto, Andrea Grisafi, Benjamin Meyer, Michele Ceriotti, & Clémence Corminbœuf. (2019). Electron density learning of non-covalent systems. Chemical Science. 10(41). 9424–9432. 101 indexed citations
13.
Liu, Yizhu, Alberto Fabrizio, Alexander G. Tskhovrebov, et al.. (2019). Synthesis of aminyl biradicals by base-induced Csp3–Csp3 coupling of cationic azo dyes. Chemical Science. 10(22). 5719–5724. 30 indexed citations
14.
Falcone, Marta, Luciano Barluzzi, Julie Andrez, et al.. (2018). The role of bridging ligands in dinitrogen reduction and functionalization by uranium multimetallic complexes. Nature Chemistry. 11(2). 154–160. 119 indexed citations
15.
Busch, Michael, Alberto Fabrizio, Sandra Luber, Jürg Hutter, & Clémence Corminbœuf. (2018). Exploring the Limitation of Molecular Water Oxidation Catalysts. The Journal of Physical Chemistry C. 122(23). 12404–12412. 43 indexed citations
16.
Grisafi, Andrea, Alberto Fabrizio, Benjamin Meyer, et al.. (2018). Transferable Machine-Learning Model of the Electron Density. ACS Central Science. 5(1). 57–64. 187 indexed citations
17.
Schmaltz, Thomas, Daniel Görl, Alberto Fabrizio, et al.. (2017). Synthesis and characterization of semiaromatic polyamides comprising benzofurobenzofuran repeating units. Polymer Chemistry. 8(14). 2197–2209. 15 indexed citations
18.
Prlj, Antonio, Alberto Fabrizio, & Clémence Corminbœuf. (2016). Rationalizing fluorescence quenching in meso-BODIPY dyes. Physical Chemistry Chemical Physics. 18(48). 32668–32672. 50 indexed citations
19.
Fabrizio, Alberto & François P. Rotzinger. (2016). Quantum Chemical Study of the Water Exchange Mechanism of the Americyl(VI) Aqua Ion. Inorganic Chemistry. 55(21). 11147–11152. 4 indexed citations
20.
Prlj, Antonio, et al.. (2014). Qualitatively Incorrect Features in the TDDFT Spectrum of Thiophene-Based Compounds. The Journal of Physical Chemistry Letters. 6(1). 13–21. 67 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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