Massimo Dipierro
Impact in
- Nuclear and High Energy Physics top 10%
- Quantum Chromodynamics and Particle Interactions
- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Information Systems top 5%
- Spam and Phishing Detection
Papers in
-
- Particle physics theoretical and experimental studies 4
- Quantum Chromodynamics and Particle Interactions 3
- High-Energy Particle Collisions Research 3
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- Advanced Data Storage Technologies 2
- Distributed and Parallel Computing Systems 2
- Co-authors
- Stefano Moret (1 shared paper)Marco L. Della Vedova (1 shared paper)Luca de Alfaro (1 shared paper)C. Bérnard (1 shared paper)Urs M. Heller (1 shared paper)D. Toussaint (1 shared paper)D. Menscher (1 shared paper)James N. Simone (2 shared papers)
- Journals
- Computing in Science & Engineering (3 papers)Physical Review Letters (1 paper)The Journal of Risk Finance (1 paper)Aisberg (University of Bergamo) (1 paper)ePrints Soton (University of Southampton) (1 paper)
- Partner nations
- United StatesItalySwitzerland
In The Last Decade
Massimo Dipierro
11 papers receiving 257 citations
Peers
Comparison fields: 5 of 40
- Nuclear and High Energy Physics 96
- Information Systems 131
- Signal Processing 61
- Sociology and Political Science 131
- Artificial Intelligence 54
Countries citing papers authored by Massimo Dipierro
This map shows the geographic impact of Massimo Dipierro'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 Massimo Dipierro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Dipierro more than expected).
Fields of papers citing papers by Massimo Dipierro
This network shows the impact of papers produced by Massimo Dipierro. 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 Massimo Dipierro. The network helps show where Massimo Dipierro may publish in the future.
Co-authors
The 25 scholars most cited alongside Massimo Dipierro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 147 | |
| 2 | 2005 | 95 | |
| 3 | 2018 | 7 | |
| 4 | 2021 | 5 | |
| 5 | Web2py Enterprise Web Framework, 2nd Ed | 2008 | 5 |
| 6 | 2020 | 4 | |
| 7 | 2005 | 2 | |
| 8 | 2014 | 2 | |
| 9 | 2014 | 1 | |
| 10 | 2008 | 1 | |
| 11 | 2018 | 1 | |
| 12 | 2008 | 0 |
About Massimo Dipierro
Massimo Dipierro is a scholar working on Nuclear and High Energy Physics, Computer Networks and Communications, Information Systems and Management, Artificial Intelligence and Sociology and Political Science, having authored 12 papers that have together received 270 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (4 papers), Quantum Chromodynamics and Particle Interactions (3 papers), High-Energy Particle Collisions Research (3 papers), Computational Physics and Python Applications (2 papers), Advanced Data Storage Technologies (2 papers), Scientific Computing and Data Management (2 papers), Distributed and Parallel Computing Systems (2 papers) and Banking stability, regulation, efficiency (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (96 citations), Information Systems (131 citations), Signal Processing (61 citations), Sociology and Political Science (131 citations) and Artificial Intelligence (54 citations). Massimo Dipierro has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Stefano Moret, Marco L. Della Vedova, Luca de Alfaro, C. Bérnard, Urs M. Heller, D. Toussaint, D. Menscher, James N. Simone, M. Okamoto and R. Sugar. Their work appears in journals such as Computing in Science & Engineering, Physical Review Letters, The Journal of Risk Finance, Aisberg (University of Bergamo) and ePrints Soton (University of Southampton).
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.