Guido Guarnieri
- Molecular Biology
- Materials Chemistry
- Electrical and Electronic Engineering
- Atomic and Molecular Physics, and Optics
- Computational Theory and Mathematics top 10%
- Co-authors
- Piero ProcacciF. IannoneS. MiglioriFilippo PalombiFiorenzo AmbrosinoG. BraccoGiovanni PontiMarco Pagliai
- Topics
- Protein Structure and Dynamics (5 papers)Computational Drug Discovery Methods (5 papers)Distributed and Parallel Computing Systems (3 papers)
- Cited by
- Space and Planetary ScienceComputational Theory and MathematicsEnergy Engineering and Power Technology
- Journals
- The Journal of Chemical PhysicsSHILAP Revista de lepidopterologíaChemical Communications
In The Last Decade
Guido Guarnieri
18 papers receiving 311 citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 107
- Materials Chemistry 68
- Electrical and Electronic Engineering 55
- Atomic and Molecular Physics, and Optics 54
- Computational Theory and Mathematics 54
Countries citing papers authored by Guido Guarnieri
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 5 | |
| 6 | 13 | |
| 7 | 20 | |
| 8 | 21 | |
| 9 | 25 | |
| 10 | 1 | |
| 11 | 36 | |
| 12 | 95 | |
| 13 | 11 | |
| 14 | 30 | |
| 15 | 3 | |
| 16 | 14 | |
| 17 | 0 | |
| 18 | 9 | |
| 19 | 13th Computer Control for Water Industry Conference, CCWI 2015 Optimal sensors placement for flood forecasting modelling | 1 |
| 20 | 24 |
About Guido Guarnieri
Guido Guarnieri is a scholar working on Computational Theory and Mathematics, Hardware and Architecture and Environmental Engineering, having authored 20 papers that have together received 319 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (5 papers), Computational Drug Discovery Methods (5 papers) and Distributed and Parallel Computing Systems (3 papers). The work is most often cited by research in Space and Planetary Science (5 citations), Computational Theory and Mathematics (54 citations) and Energy Engineering and Power Technology (10 citations). Guido Guarnieri has collaborated with scholars based in Italy, France and Indonesia. Frequent co-authors include Piero Procacci, F. Iannone, S. Migliori, Filippo Palombi, Fiorenzo Ambrosino, G. Bracco, Giovanni Ponti, Marco Pagliai, Marina Macchiagodena and Dante Abate. Their work appears in journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Chemical Communications.
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.