Valerio Rizzi

892 citations
27 papers · 520 · h-index 13

Impact in

Papers in

    • Protein Structure and Dynamics 12
    • RNA and protein synthesis mechanisms 3
    • Machine Learning in Materials Science 6
    • Boron and Carbon Nanomaterials Research 2

Valerio Rizzi

25 papers receiving 515 citations

Peers

Valerio Rizzi
Comparison fields: 5 of 83
  • Computational Theory and Mathematics 86
  • Atomic and Molecular Physics, and Optics 153
  • Catalysis 32
  • Materials Chemistry 198
  • Molecular Biology 280
Replace Michele Invernizzi with:
Michele Invernizzi Switzerland
Letif Mones Hungary
João Marcelo Lamim Ribeiro United States
Dan Mendels Switzerland
Prabhakar Bhimalapuram India
Elena V. Konstantinova Russia
Luigi Bonati Italy
Hiqmet Kamberaj United States
Xiangyu Jia China
Patrick Bleiziffer Germany
Valerio Rizzi relative to Michele Invernizzi Switzerland Michele Invernizzi's profile →
Citations per field
00.5×1.5×
Michele Invernizzi · 1×
Citations per year

Countries citing papers authored by Valerio Rizzi

Since Specialization
Citations

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

Fields of papers citing papers by Valerio Rizzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Valerio Rizzi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Valerio Rizzi Line = papers co-authored together Valerio Rizzi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020132
2 202151
3 202244
4 201943
5 202232
6 201931
7 202130
8 202323
9 201922
10 201619
11 202117
12 201914
13 202412
14 202411
15 20247
16 20236
17 20236
18 20174
19 20244
20 20243

About Valerio Rizzi

Valerio Rizzi is a scholar working on Molecular Biology, Materials Chemistry, Atomic and Molecular Physics, and Optics, Condensed Matter Physics and Computational Theory and Mathematics, having authored 27 papers that have together received 520 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (12 papers), Machine Learning in Materials Science (6 papers), Spectroscopy and Quantum Chemical Studies (5 papers), Computational Drug Discovery Methods (4 papers), Theoretical and Computational Physics (3 papers), RNA and protein synthesis mechanisms (3 papers), Mass Spectrometry Techniques and Applications (3 papers) and Boron and Carbon Nanomaterials Research (2 papers). The work is most often cited by research in Computational Theory and Mathematics (86 citations), Atomic and Molecular Physics, and Optics (153 citations), Catalysis (32 citations), Materials Chemistry (198 citations) and Molecular Biology (280 citations). Valerio Rizzi has collaborated with scholars based in Switzerland, Italy and United Kingdom. Frequent co-authors include Michele Parrinello, Luigi Bonati, Narjes Ansari, Francesco Luigi Gervasio, Michele Invernizzi, Emilia Sicilia, Barak Hirshberg, Umberto Raucci, Simone Aureli and Dhiman Ray. Their work appears in journals such as Journal of Chemical Theory and Computation, The Journal of Physical Chemistry Letters, The Journal of Chemical Physics, Journal of Chemical Information and Modeling and Journal of the American Chemical Society.

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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