Guido Guarnieri

664 total citations
20 papers, 319 citations indexed

About

Guido Guarnieri is a scholar working on Molecular Biology, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Guido Guarnieri has authored 20 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 4 papers in Computer Networks and Communications. Recurrent topics in Guido Guarnieri's work include Protein Structure and Dynamics (5 papers), Computational Drug Discovery Methods (5 papers) and Distributed and Parallel Computing Systems (3 papers). Guido Guarnieri is often cited by papers focused on Protein Structure and Dynamics (5 papers), Computational Drug Discovery Methods (5 papers) and Distributed and Parallel Computing Systems (3 papers). Guido Guarnieri collaborates with scholars based in Italy, France and Indonesia. Guido Guarnieri's co-authors include Piero Procacci, F. Iannone, S. Migliori, Filippo Palombi, Fiorenzo Ambrosino, G. Bracco, Giovanni Ponti, Marco Pagliai, Marina Macchiagodena and Dante Abate and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Chemical Communications.

In The Last Decade

Guido Guarnieri

18 papers receiving 311 citations

Peers

Guido Guarnieri

EEE

AMPO

CTM

Ding Lu China

Mark N. Joswiak United States

Francesco Rizzi United States

Wolfgang Erb Germany

Emily Mazeau United States

Thomas Kruse Germany

Ján Buša Slovakia

Nathan W. Yee United States

Matthew S. Johnson United States

Agnes Jocher Germany

Ding Lu China

Guido Guarnieri

82 ×0.8

104 ×1.5

82 ×1.5

EEE

17 ×0.3

AMPO

36 ×0.7

CTM

Citations per year, relative to Guido Guarnieri Guido Guarnieri (= 1×) peers Ding Lu

Countries citing papers authored by Guido Guarnieri

Since Specialization

Citations

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

Fields of papers citing papers by Guido Guarnieri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guido Guarnieri

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

All Works

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20 of 20 papers shown

Chinnici, Marta, et al.. (2024). Digital Twin to Modeling Data Center: An enabler for holistic approach. 16–24.

Procacci, Piero & Guido Guarnieri. (2023). SAMPL9 blind predictions for toluene/water partition coefficients using nonequilibrium alchemical approaches. The Journal of Chemical Physics. 158(12). 124117–124117. 3 indexed citations

Procacci, Piero & Guido Guarnieri. (2022). SAMPL9 blind predictions using nonequilibrium alchemical approaches. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

Chinnici, Marta, et al.. (2022). Thermal awareness to enhance data center energy efficiency. Cleaner Engineering and Technology. 6. 100409–100409. 7 indexed citations

Adani, Mario, Massimo D’Isidoro, Mihaela Mircea, et al.. (2022). Evaluation of air quality forecasting system FORAIR-IT over Europe and Italy at high resolution for year 2017. Atmospheric Pollution Research. 13(6). 101456–101456. 5 indexed citations

Procacci, Piero & Guido Guarnieri. (2022). SAMPL9 blind predictions using nonequilibrium alchemical approaches. The Journal of Chemical Physics. 156(16). 164104–164104. 13 indexed citations

Procacci, Piero & Guido Guarnieri. (2021). SAMPL7 blind predictions using nonequilibrium alchemical approaches. Journal of Computer-Aided Molecular Design. 35(1). 37–47. 20 indexed citations

Procacci, Piero, Marina Macchiagodena, Marco Pagliai, Guido Guarnieri, & F. Iannone. (2020). Interaction of hydroxychloroquine with SARS-CoV2 functional proteins using all-atoms non-equilibrium alchemical simulations. Chemical Communications. 56(62). 8854–8856. 21 indexed citations

Macchiagodena, Marina, et al.. (2020). Virtual Double-System Single-Box: A Nonequilibrium Alchemical Technique for Absolute Binding Free Energy Calculations: Application to Ligands of the SARS-CoV-2 Main Protease. Journal of Chemical Theory and Computation. 16(11). 7160–7172. 25 indexed citations

10.

Adani, Mario, Guido Guarnieri, Lina Vitali, et al.. (2020). Evaluation of air quality forecasting system FORAIR_IT over Europe and Italy at high resolution for year 2017. 1 indexed citations

11.

D’Isidoro, Massimo, Gino Briganti, Lina Vitali, et al.. (2020). Estimation of solar and wind energy resources over Lesotho and their complementarity by means of WRF yearly simulation at high resolution. Renewable Energy. 158. 114–129. 36 indexed citations

12.

Iannone, F., Fiorenzo Ambrosino, G. Bracco, et al.. (2019). CRESCO ENEA HPC clusters: a working example of a multifabric GPFS Spectrum Scale layout. Florence Research (University of Florence). 1051–1052. 95 indexed citations

13.

Procacci, Piero & Guido Guarnieri. (2019). SAMPL6 blind predictions of water-octanol partition coefficients using nonequilibrium alchemical approaches. Journal of Computer-Aided Molecular Design. 34(4). 371–384. 11 indexed citations

14.

Procacci, Piero, et al.. (2018). SAMPL6 host–guest blind predictions using a non equilibrium alchemical approach. Journal of Computer-Aided Molecular Design. 32(10). 965–982. 30 indexed citations

15.

Quintieri, L., et al.. (2017). Quantification of the validity of simulations based on Geant4 and FLUKA for photo-nuclear interactions in the high energy range. SHILAP Revista de lepidopterología. 153. 6023–6023. 3 indexed citations

16.

Ambrosino, Fiorenzo, Giuseppe Aprea, Francesco Buonocore, et al.. (2017). Fast Access to Remote Objects 2.0 a renewed gateway to ENEAGRID distributed computing resources. Future Generation Computer Systems. 94. 920–928. 14 indexed citations

17.

Ambrosino, Fiorenzo, Giuseppe Aprea, Guido Guarnieri, et al.. (2017). Fast Access to Remote Objects 2.0 A renewed gateway to ENEAGRID distributed computing resources.

18.

Fattoruso, Grazia, Guido Guarnieri, Mario Molinara, et al.. (2015). Optimal Sensors Placement for Flood Forecasting Modelling. Procedia Engineering. 119. 927–936. 9 indexed citations

19.

Fattoruso, Grazia, et al.. (2015). 13th Computer Control for Water Industry Conference, CCWI 2015 Optimal sensors placement for flood forecasting modelling. 1 indexed citations

20.

Abate, Dante, et al.. (2011). 3D modeling and remote rendering technique of a high definition cultural heritage artefact. Procedia Computer Science. 3. 848–852. 24 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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