Andrea Anelli

492 total citations
8 papers, 260 citations indexed

About

Andrea Anelli is a scholar working on Materials Chemistry, Computational Theory and Mathematics and Biomedical Engineering. According to data from OpenAlex, Andrea Anelli has authored 8 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Materials Chemistry, 4 papers in Computational Theory and Mathematics and 2 papers in Biomedical Engineering. Recurrent topics in Andrea Anelli's work include Machine Learning in Materials Science (7 papers), Computational Drug Discovery Methods (4 papers) and Electronic and Structural Properties of Oxides (2 papers). Andrea Anelli is often cited by papers focused on Machine Learning in Materials Science (7 papers), Computational Drug Discovery Methods (4 papers) and Electronic and Structural Properties of Oxides (2 papers). Andrea Anelli collaborates with scholars based in Switzerland, Italy and United Kingdom. Andrea Anelli's co-authors include Michele Ceriotti, Fabrizio Berra, Flavio Jadoul, Gábor Cśanyi, Chiheb Ben Mahmoud, Edgar A. Engel, Chris J. Pickard, R. J. Needs, Aldo Glielmo and Kevin Rossi and has published in prestigious journals such as Nature Communications, Palaeogeography Palaeoclimatology Palaeoecology and Physical review. B..

In The Last Decade

Andrea Anelli

8 papers receiving 253 citations

Peers

Andrea Anelli

MC

PALEO

GEOPH

AS

CTM

Xiaolong Chen China

Nilotpal Ghosh India

U. Schmidt Germany

Anastasia Rousaki Belgium

Daniel S. King United States

P. Munayco Brazil

R. Martino Argentina

Nicholas C. A. Seaton United States

M. J. Mendelssohn United Kingdom

Haijun Cao China

Xiaolong Chen China

Andrea Anelli

175 ×1.2

MC

41 ×0.7

PALEO

21 ×0.4

GEOPH

23 ×0.5

AS

2 ×0.0

CTM

Citations per year, relative to Andrea Anelli Andrea Anelli (= 1×) peers Xiaolong Chen

Countries citing papers authored by Andrea Anelli

Since Specialization

Citations

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

Fields of papers citing papers by Andrea Anelli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Anelli

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

All Works

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8 of 8 papers shown

1.

Atz, Kenneth, Alex T. Müller, Andrea Anelli, et al.. (2024). Geometric deep learning-guided Suzuki reaction conditions assessment for applications in medicinal chemistry. RSC Medicinal Chemistry. 15(7). 2310–2321. 4 indexed citations

2.

Anelli, Andrea, H. Dietrich, Frank Stowasser, et al.. (2024). Robust and efficient reranking in crystal structure prediction: a data driven method for real-life molecules. CrystEngComm. 26(41). 5845–5849. 3 indexed citations

3.

Anelli, Andrea, Jochem Alsenz, Martin Kuentz, et al.. (2024). Comparative Analysis of Chemical Descriptors by Machine Learning Reveals Atomistic Insights into Solute–Lipid Interactions. Molecular Pharmaceutics. 21(7). 3343–3355. 4 indexed citations

4.

Zeni, Claudio, Andrea Anelli, Aldo Glielmo, Stefano de Gironcoli, & Kevin Rossi. (2023). Divide-and-conquer potentials enable scalable and accurate predictions of forces and energies in atomistic systems. Digital Discovery. 3(1). 113–121. 6 indexed citations

5.

Zeni, Claudio, Andrea Anelli, Aldo Glielmo, & Kevin Rossi. (2022). Exploring the robust extrapolation of high-dimensional machine learning potentials. Physical review. B.. 105(16). 25 indexed citations

6.

Mahmoud, Chiheb Ben, Andrea Anelli, Gábor Cśanyi, & Michele Ceriotti. (2020). Learning the electronic density of states in condensed matter. Physical review. B.. 102(23). 90 indexed citations

7.

Engel, Edgar A., Andrea Anelli, Michele Ceriotti, Chris J. Pickard, & R. J. Needs. (2018). Mapping uncharted territory in ice from zeolite networks to ice structures. Nature Communications. 9(1). 2173–2173. 55 indexed citations

8.

Berra, Fabrizio, Flavio Jadoul, & Andrea Anelli. (2009). Environmental control on the end of the Dolomia Principale/Hauptdolomit depositional system in the central Alps: Coupling sea-level and climate changes. Palaeogeography Palaeoclimatology Palaeoecology. 290(1-4). 138–150. 73 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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