Federico Zipoli

1.2k total citations
38 papers, 817 citations indexed

About

Federico Zipoli is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Federico Zipoli has authored 38 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Materials Chemistry, 13 papers in Electrical and Electronic Engineering and 6 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Federico Zipoli's work include Machine Learning in Materials Science (7 papers), Diamond and Carbon-based Materials Research (6 papers) and Electrocatalysts for Energy Conversion (6 papers). Federico Zipoli is often cited by papers focused on Machine Learning in Materials Science (7 papers), Diamond and Carbon-based Materials Research (6 papers) and Electrocatalysts for Energy Conversion (6 papers). Federico Zipoli collaborates with scholars based in Switzerland, United States and Italy. Federico Zipoli's co-authors include Marco Bernasconi, Daniel Krebs, Teodoro Laino, Alessandro Curioni, Philippe Schwaller, Alain C. Vaucher, Vishnu H Nair, Morrel H. Cohen, Roberto Car and Roman Martoňák and has published in prestigious journals such as Journal of the American Chemical Society, Physical Review Letters and Nature Communications.

In The Last Decade

Federico Zipoli

38 papers receiving 798 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Federico Zipoli Switzerland 14 459 354 98 89 88 38 817
David P. Nackashi United States 12 403 0.9× 532 1.5× 175 1.8× 61 0.7× 222 2.5× 30 996
David Gao United Kingdom 16 857 1.9× 759 2.1× 275 2.8× 99 1.1× 233 2.6× 35 1.5k
Samuel M. Blau United States 16 338 0.7× 399 1.1× 103 1.1× 18 0.2× 49 0.6× 30 897
Liqi Wang China 13 407 0.9× 391 1.1× 60 0.6× 44 0.5× 28 0.3× 29 672
Deping Hu China 21 1.0k 2.3× 1.0k 2.9× 394 4.0× 96 1.1× 46 0.5× 47 1.8k
Nicola Molinari United States 14 1.0k 2.3× 653 1.8× 151 1.5× 147 1.7× 140 1.6× 23 1.8k
Tohru Higuchi Japan 21 938 2.0× 728 2.1× 105 1.1× 140 1.6× 112 1.3× 126 1.6k
Cyrille Lavigne Canada 9 377 0.8× 222 0.6× 86 0.9× 23 0.3× 80 0.9× 15 680
Mon‐Shu Ho Taiwan 20 354 0.8× 983 2.8× 272 2.8× 133 1.5× 264 3.0× 81 1.5k
Haoyang Zhang China 14 578 1.3× 289 0.8× 80 0.8× 82 0.9× 178 2.0× 29 991

Countries citing papers authored by Federico Zipoli

Since Specialization
Citations

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

Fields of papers citing papers by Federico Zipoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Zipoli

This figure shows the co-authorship network connecting the top 25 collaborators of Federico Zipoli. A scholar is included among the top collaborators of Federico Zipoli 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 Federico Zipoli. Federico Zipoli 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.
Zipoli, Federico, et al.. (2025). IR-NMR multimodal computational spectra dataset for 177K patent-extracted organic molecules. Scientific Data. 12(1). 1375–1375. 1 indexed citations
2.
Zipoli, Federico, et al.. (2025). Setting new benchmarks in AI-driven infrared structure elucidation. Digital Discovery. 4(7). 1936–1943. 1 indexed citations
3.
Zipoli, Federico, et al.. (2024). Integrating genetic algorithms and language models for enhanced enzyme design. Briefings in Bioinformatics. 26(1). 2 indexed citations
4.
Zipoli, Federico, Carlo Baldassari, Matteo Manica, Jannis Born, & Teodoro Laino. (2024). Growing strings in a chemical reaction space for searching retrosynthesis pathways. npj Computational Materials. 10(1). 5 indexed citations
5.
Zipoli, Federico, et al.. (2024). Activity recognition in scientific experimentation using multimodal visual encoding. Digital Discovery. 4(2). 393–402. 1 indexed citations
6.
Dürholt, Johannes P., et al.. (2024). Learning a reactive potential for silica-water through uncertainty attribution. Nature Communications. 15(1). 6030–6030. 12 indexed citations
7.
Zipoli, Federico, et al.. (2024). Completion of partial chemical equations. Machine Learning Science and Technology. 5(2). 25071–25071. 3 indexed citations
8.
Schilter, Oliver, Alessandro Castrogiovanni, Alberto García-Durán, et al.. (2024). Combining Bayesian optimization and automation to simultaneously optimize reaction conditions and routes. Chemical Science. 15(20). 7732–7741. 13 indexed citations
9.
Laino, Teodoro, et al.. (2024). Unraveling Molecular Structure: A Multimodal Spectroscopic Dataset for Chemistry. 125780–125808. 2 indexed citations
10.
Castrogiovanni, Alessandro, Théophile Gaudin, Teodoro Laino, et al.. (2023). Fuelling the Digital Chemistry Revolution with Language Models. CHIMIA International Journal for Chemistry. 77(7/8). 484–484. 1 indexed citations
11.
Gaudin, Théophile, Oliver Schilter, Federico Zipoli, & Teodoro Laino. (2020). Advanced Data-Driven Manufacturing.. ERCIM news/ERCIM news online edition. 2020. 1 indexed citations
12.
Cheng, Xi, Tobias Binninger, Steven D. Lacey, et al.. (2020). The solid-state Li-ion conductor Li<sub>7</sub>TaO<sub>6</sub>: a combined computational and experimental study. DORA PSI (Paul Scherrer Institute). 6 indexed citations
13.
Vaucher, Alain C., et al.. (2020). Automated extraction of chemical synthesis actions from experimental procedures. Nature Communications. 11(1). 3601–3601. 132 indexed citations
14.
Gallo, Manuel Le, Daniel Krebs, Federico Zipoli, Martin Salinga, & Abu Sebastian. (2018). Collective Structural Relaxation in Phase‐Change Memory Devices. Advanced Electronic Materials. 4(9). 69 indexed citations
15.
Zipoli, Federico, Daniel Krebs, & Alessandro Curioni. (2016). Structural origin of resistance drift in amorphous GeTe. Physical review. B.. 93(11). 60 indexed citations
16.
Zipoli, Federico & Alessandro Curioni. (2013). Reactive potential for the study of phase-change materials: GeTe. New Journal of Physics. 15(12). 123006–123006. 13 indexed citations
17.
Zipoli, Federico, et al.. (2013). Improved coarse-grained model for molecular-dynamics simulations of water nucleation. The Journal of Chemical Physics. 139(9). 94501–94501. 12 indexed citations
18.
Sit, Patrick H.‐L., Federico Zipoli, Jia Chen, et al.. (2011). Oxidation State Changes and Electron Flow in Enzymatic Catalysis and Electrocatalysis through Wannier‐Function Analysis. Chemistry - A European Journal. 17(43). 12136–12143. 32 indexed citations
19.
Zipoli, Federico, et al.. (2008). Thermal-Hydrogen Promoted Selective Desorption and Enhanced Mobility of Adsorbed Radicals in Silicon Film Growth. Physical Review Letters. 100(4). 46105–46105. 14 indexed citations
20.
Martoňák, Roman, Alessandro Laio, Marco Bernasconi, et al.. (2005). Simulation of structural phase transitions by metadynamics. Zeitschrift für Kristallographie - Crystalline Materials. 220(5-6). 489–498. 93 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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