Pietro Bongini
- Computational Theory and Mathematics top 5%
- Artificial Intelligence
- Molecular Biology
- Materials Chemistry
- Infectious Diseases
- Co-authors
- Monica BianchiniFranco ScarselliNeri NiccolaiOttavia SpigaPíetro LióGiovanna Maria DimitriAlfonso TrezzaVittoria Cicaloni
- Topics
- Computational Drug Discovery Methods (9 papers)Protein Structure and Dynamics (6 papers)Advanced Graph Neural Networks (6 papers)
- Journals
- Biochemical and Biophysical Research CommunicationsInternational Journal of Molecular SciencesNeurocomputing
- Partner nations
- ItalyUnited KingdomGermany
In The Last Decade
Pietro Bongini
21 papers receiving 252 citations
Peers
Comparison fields: 5 of 77
- Computational Theory and Mathematics 100
- Artificial Intelligence 91
- Molecular Biology 72
- Materials Chemistry 54
- Infectious Diseases 27
Countries citing papers authored by Pietro Bongini
This map shows the geographic impact of Pietro Bongini'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 Pietro Bongini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pietro Bongini more than expected).
Fields of papers citing papers by Pietro Bongini
This network shows the impact of papers produced by Pietro Bongini. 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 Pietro Bongini. The network helps show where Pietro Bongini may publish in the future.
Co-authorship network of co-authors of Pietro Bongini
This figure shows the co-authorship network connecting the top 25 collaborators of Pietro Bongini. A scholar is included among the top collaborators of Pietro Bongini 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 Pietro Bongini. Pietro Bongini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 15 | |
| 8 | 24 | |
| 9 | 19 | |
| 10 | 10 | |
| 11 | 9 | |
| 12 | 1 | |
| 13 | 6 | |
| 14 | 103 | |
| 15 | Graph Neural Networks for the Prediction of Protein-Protein Interfaces. | 13 |
| 16 | 2 | |
| 17 | 21 | |
| 18 | 3 | |
| 19 | 1 | |
| 20 | 6 |
About Pietro Bongini
Pietro Bongini is a scholar working on Computational Theory and Mathematics, Ecological Modeling and Artificial Intelligence, having authored 21 papers that have together received 255 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Protein Structure and Dynamics (6 papers) and Advanced Graph Neural Networks (6 papers). The work is most often cited by research in Computational Theory and Mathematics (100 citations), Health Informatics (6 citations) and Artificial Intelligence (91 citations). Pietro Bongini has collaborated with scholars based in Italy, United Kingdom and Germany. Frequent co-authors include Monica Bianchini, Franco Scarselli, Neri Niccolai, Ottavia Spiga, Píetro Lió, Giovanna Maria Dimitri, Alfonso Trezza, Vittoria Cicaloni, Paolo Andreini and Luca Oneto. Their work appears in journals such as Biochemical and Biophysical Research Communications, International Journal of Molecular Sciences and Neurocomputing.
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.