Luca Torresi

961 total citations · 1 hit paper
5 papers, 481 citations indexed

About

Luca Torresi is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, Luca Torresi has authored 5 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Materials Chemistry, 2 papers in Electrical and Electronic Engineering and 1 paper in Molecular Biology. Recurrent topics in Luca Torresi's work include Machine Learning in Materials Science (4 papers), Organic Electronics and Photovoltaics (1 paper) and Perovskite Materials and Applications (1 paper). Luca Torresi is often cited by papers focused on Machine Learning in Materials Science (4 papers), Organic Electronics and Photovoltaics (1 paper) and Perovskite Materials and Applications (1 paper). Luca Torresi collaborates with scholars based in Germany, Ireland and Denmark. Luca Torresi's co-authors include Pascal Friederich, Patrick Reiser, Clint van Hoesel, Timo Sommer, Marlen Neubert, Chen Zhou, Henrik Schopmans, Chen Shao, Attila Kormányos and Serhiy Cherevko and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Materials Chemistry A and Communications Materials.

In The Last Decade

Luca Torresi

5 papers receiving 468 citations

Hit 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.

Graph neural networks for materials science and chemistry

2022 407 citations Patrick Reiser, Marlen Neubert et al. Communications Materials profile →

Peers

Countries citing papers authored by Luca Torresi

Since Specialization

Citations

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

Fields of papers citing papers by Luca Torresi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Torresi

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

All Works

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5 of 5 papers shown

#	Work	Indexed citations
1	Integrated System Built for Small-Molecule Semiconductors via High-Throughput Approaches 2023 ·Journal of the American Chemical Society ·Jianchang Wu, Jiyun Zhang, Manman Hu, Patrick Reiser, Luca Torresi, Pascal Friederich, (unknown), Olga Kasian, Dirk M. Guldi, M. Eugenia Pérez‐Ojeda, Anastasia Barabash, (unknown), Yicheng Zhao, Zhiqiang Xie, Junsheng Luo, (unknown), Sang Il Seok, Jens Hauch, Christoph J. Brabec	17
2	What is missing in autonomous discovery: open challenges for the community 2023 ·Digital Discovery ·Phillip M. Maffettone, Pascal Friederich, Sterling G. Baird, Ben Blaiszik, Keith A. Brown, Stuart I. Campbell, (unknown), Rebecca L. Davis, Ian Foster, (unknown), Mark Hereld, Howie Joress, Nicole Jung, Ha-Kyung Kwon, (unknown), (unknown), Casper Steinmann, Luca Torresi, Shijing Sun	24
3	Navigating the unknown with AI: multiobjective Bayesian optimization of non-noble acidic OER catalysts 2023 ·Journal of Materials Chemistry A ·(unknown), Luca Torresi, (unknown), Attila Kormányos, Pascal Friederich, Serhiy Cherevko	30
4	Tau Lepton Identification With Graph Neural Networks at Future Electron–Positron Colliders 2022 ·Frontiers in Physics ·S. Giagu, Luca Torresi, (unknown)	3
5	Graph neural networks for materials science and chemistry breakdown → 2022 ·Communications Materials ·Patrick Reiser, Marlen Neubert, (unknown), Luca Torresi, Chen Zhou, Chen Shao, (unknown), Clint van Hoesel, Henrik Schopmans, Timo Sommer, Pascal Friederich	407

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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