Andrea Martini

2.8k total citations · 1 hit paper
56 papers, 2.2k citations indexed

About

Andrea Martini is a scholar working on Materials Chemistry, Catalysis and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Andrea Martini has authored 56 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Materials Chemistry, 16 papers in Catalysis and 15 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Andrea Martini's work include Catalytic Processes in Materials Science (25 papers), Machine Learning in Materials Science (18 papers) and Catalysis and Oxidation Reactions (10 papers). Andrea Martini is often cited by papers focused on Catalytic Processes in Materials Science (25 papers), Machine Learning in Materials Science (18 papers) and Catalysis and Oxidation Reactions (10 papers). Andrea Martini collaborates with scholars based in Italy, Russia and France. Andrea Martini's co-authors include Elisa Borfecchia, Kirill A. Lomachenko, Silvia Bordiga, Gloria Berlier, Carlo Lamberti, И. А. Панкин, Pablo Beato, А. В. Солдатов, Chiara Negri and Stian Svelle and has published in prestigious journals such as Journal of the American Chemical Society, Physical Review Letters and Advanced Materials.

In The Last Decade

Andrea Martini

54 papers receiving 2.2k citations

Hit Papers

1 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Elucidating electrochemical nitrate and nitrite reduction over atomically-dispersed transition metal sites

2023 175 citations Eamonn Murphy, Yuanchao Liu et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andrea Martini Italy	26	1.6k	1.0k	637	582	312	56	2.2k
Yasuo Izumi Japan	27	2.0k 1.2×	513 0.5×	234 0.4×	2.0k 3.4×	241 0.8×	122	3.0k
Charlotte Vogt Netherlands	17	1.8k 1.1×	1.5k 1.4×	323 0.5×	836 1.4×	209 0.7×	32	2.6k
Christopher Paolucci United States	19	2.9k 1.8×	2.0k 1.9×	865 1.4×	635 1.1×	710 2.3×	34	3.1k
Peng He China	21	869 0.5×	601 0.6×	319 0.5×	450 0.8×	363 1.2×	95	1.8k
Satoru Takakusagi Japan	28	1.9k 1.2×	770 0.7×	243 0.4×	1.1k 2.0×	331 1.1×	110	3.2k
Frank Rosowski Germany	31	1.9k 1.2×	1.6k 1.5×	263 0.4×	402 0.7×	496 1.6×	96	2.5k
Stephan A. Schunk Germany	27	1.6k 1.0×	1.0k 1.0×	499 0.8×	505 0.9×	323 1.0×	94	2.4k
Yifeng Yun Sweden	19	1.4k 0.9×	335 0.3×	1.3k 2.0×	188 0.3×	155 0.5×	43	2.0k
Ewa Nowicka Poland	23	1.3k 0.8×	589 0.6×	221 0.3×	264 0.5×	611 2.0×	79	1.8k
G. Schulz‐Ekloff Germany	29	1.6k 1.0×	437 0.4×	760 1.2×	272 0.5×	282 0.9×	91	2.1k

Countries citing papers authored by Andrea Martini

Since Specialization

Citations

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

Fields of papers citing papers by Andrea Martini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Martini

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Tănase, Liviu C., Maurício J. Prieto, Aarti Tiwari, et al.. (2025). Morphological and chemical state effects in pulsed CO2 electroreduction on Cu(100) unveiled by correlated spectro-microscopy. Nature Catalysis. 8(9). 881–890. 2 indexed citations

Rüscher, Martina, Joonbaek Jang, Andrea Martini, et al.. (2025). Laboratory‐Based Time‐Resolved In Situ X‐Ray Absorption Spectroscopy for Tracking Transformations of Working Electrocatalysts. Chemistry - Methods. 5(10).

Hursán, Dorottya, Janis Timoshenko, Andrea Martini, et al.. (2025). CO ₂ Reduction on Copper‐Nitrogen‐Doped Carbon Catalysts Tuned by Pulsed Potential Electrolysis: Effect of Pulse Potential. Advanced Functional Materials. 36(21). 1 indexed citations

Yang, Jingyi, Eduardo Ortega, Joonbaek Jang, et al.. (2025). Plasma Pretreatment of Pt Single-Atom Precursors Supported on Mechanically Activated Al ₂ O ₃ : Enhanced Performance in Propane Dehydrogenation. Journal of the American Chemical Society. 147(44). 40481–40495.

Martini, Andrea, Janis Timoshenko, Philipp Grosse, et al.. (2024). Adsorbate Configurations in Ni Single-Atom Catalysts during CO2 Electrocatalytic Reduction Unveiled by Operando XAS, XES, and Machine Learning. Physical Review Letters. 133(22). 228001–228001. 7 indexed citations

Haase, Felix T., Eduardo Ortega, Sascha Saddeler, et al.. (2024). Role of Fe decoration on the oxygen evolving state of Co₃O₄ nanocatalysts. Energy & Environmental Science. 17(5). 2046–2058. 35 indexed citations

Timoshenko, Janis, Clara Rettenmaier, Dorottya Hursán, et al.. (2024). Reversible metal cluster formation on Nitrogen-doped carbon controlling electrocatalyst particle size with subnanometer accuracy. Nature Communications. 15(1). 6111–6111. 25 indexed citations

Luna, Mauricio López, Andrea Martini, Uta Hejral, et al.. (2024). Effect of Iron Doping in Ordered Nickel Oxide Thin Film Catalyst for the Oxygen Evolution Reaction. ACS Catalysis. 14(18). 14219–14232. 8 indexed citations

Murphy, Eamonn, Yuanchao Liu, Ivana Matanović, et al.. (2023). Elucidating electrochemical nitrate and nitrite reduction over atomically-dispersed transition metal sites. Nature Communications. 14(1). 4554–4554. 175 indexed citations breakdown →

10.

Martini, Andrea, Dorottya Hursán, Janis Timoshenko, et al.. (2023). Tracking the Evolution of Single-Atom Catalysts for the CO₂ Electrocatalytic Reduction Using Operando X-ray Absorption Spectroscopy and Machine Learning. Journal of the American Chemical Society. 145(31). 17351–17366. 60 indexed citations

11.

Hursán, Dorottya, Janis Timoshenko, Eduardo Ortega, et al.. (2023). Reversible Structural Evolution of Metal‐Nitrogen‐Doped Carbon Catalysts During CO₂ Electroreduction: An Operando X‐ray Absorption Spectroscopy Study. Advanced Materials. 36(4). e2307809–e2307809. 39 indexed citations

12.

Piovano, Alessandro, Matteo Signorile, Luca Braglia, et al.. (2021). Electronic Properties of Ti Sites in Ziegler–Natta Catalysts. ACS Catalysis. 11(15). 9949–9961. 43 indexed citations

13.

Martini, Andrea, Aram L. Bugaev, С. А. Гуда, et al.. (2021). Revisiting the Extended X-ray Absorption Fine Structure Fitting Procedure through a Machine Learning-Based Approach. The Journal of Physical Chemistry A. 125(32). 7080–7091. 16 indexed citations

14.

Negri, Chiara, Tommaso Selleri, Elisa Borfecchia, et al.. (2020). Structure and Reactivity of Oxygen-Bridged Diamino Dicopper(II) Complexes in Cu-Ion-Exchanged Chabazite Catalyst for NH₃-Mediated Selective Catalytic Reduction. Journal of the American Chemical Society. 142(37). 15884–15896. 143 indexed citations

15.

Martini, Andrea, Matteo Signorile, Alessandro Piovano, et al.. (2020). THORONDOR: a software for fast treatment and analysis of low-energy XAS data. Journal of Synchrotron Radiation. 27(6). 1741–1752. 12 indexed citations

16.

Pappas, Dimitrios K., Elisa Borfecchia, Kirill A. Lomachenko, et al.. (2019). Cu-Exchanged Ferrierite Zeolite for the Direct CH4 to CH3OH Conversion: Insights on Cu Speciation from X-Ray Absorption Spectroscopy. Topics in Catalysis. 62(7-11). 712–723. 11 indexed citations

17.

Lomachenko, Kirill A., Andrea Martini, Dimitrios K. Pappas, et al.. (2019). The impact of reaction conditions and material composition on the stepwise methane to methanol conversion over Cu-MOR: An operando XAS study. Catalysis Today. 336. 99–108. 27 indexed citations

18.

Pappas, Dimitrios K., Elisa Borfecchia, Michael Dyballa, et al.. (2018). Understanding and Optimizing the Performance of Cu‐FER for The Direct CH₄ to CH₃OH Conversion. ChemCatChem. 11(1). 621–627. 30 indexed citations

19.

Pappas, Dimitrios K., Andrea Martini, Michael Dyballa, et al.. (2018). The Nuclearity of the Active Site for Methane to Methanol Conversion in Cu-Mordenite: A Quantitative Assessment. Journal of the American Chemical Society. 140(45). 15270–15278. 193 indexed citations

20.

Pappas, Dimitrios K., Elisa Borfecchia, Michael Dyballa, et al.. (2017). Methane to Methanol: Structure–Activity Relationships for Cu-CHA. Journal of the American Chemical Society. 139(42). 14961–14975. 314 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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