R. Di Sipio
- Artificial Intelligence
- Nuclear and High Energy Physics
- Electrical and Electronic Engineering
- Astronomy and Astrophysics
- Statistical and Nonlinear Physics
- Co-authors
- Samuel Yen-Chi ChenMarcel WorringJia-Hong HuangRoberto CasadioL. BellagambaS. Ketabchi HaghighatM. Faucci GiannelliS. Palazzo
- Topics
- Particle physics theoretical and experimental studies (3 papers)High-Energy Particle Collisions Research (2 papers)Distributed and Parallel Computing Systems (1 paper)
- Journals
- The European Physical Journal CResearch Portal (King's College London)CERN Document Server (European Organization for Nuclear Research)
- Partner nations
- ItalyNetherlandsUnited States
In The Last Decade
R. Di Sipio
3 papers receiving 85 citations
Peers
Comparison fields: 5 of 25
- Artificial Intelligence 63
- Nuclear and High Energy Physics 14
- Electrical and Electronic Engineering 12
- Astronomy and Astrophysics 10
- Statistical and Nonlinear Physics 10
Countries citing papers authored by R. Di Sipio
This map shows the geographic impact of R. Di Sipio'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 R. Di Sipio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Di Sipio more than expected).
Fields of papers citing papers by R. Di Sipio
This network shows the impact of papers produced by R. Di Sipio. 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 R. Di Sipio. The network helps show where R. Di Sipio may publish in the future.
Co-authorship network of co-authors of R. Di Sipio
This figure shows the co-authorship network connecting the top 25 collaborators of R. Di Sipio. A scholar is included among the top collaborators of R. Di Sipio 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 R. Di Sipio. R. Di Sipio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 74 | |
| 2 | 2 | |
| 3 | 11 | |
| 4 | 0 |
About R. Di Sipio
R. Di Sipio is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Computer Networks and Communications, having authored 4 papers that have together received 87 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (3 papers), High-Energy Particle Collisions Research (2 papers) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Artificial Intelligence (63 citations), Nuclear and High Energy Physics (14 citations) and Statistical and Nonlinear Physics (10 citations). R. Di Sipio has collaborated with scholars based in Italy, Netherlands and United States. Frequent co-authors include Samuel Yen-Chi Chen, Marcel Worring, Jia-Hong Huang, Roberto Casadio, L. Bellagamba, S. Ketabchi Haghighat, M. Faucci Giannelli, S. Palazzo, Gennaro Corcella and F. Cavallari. Their work appears in journals such as The European Physical Journal C, Research Portal (King's College London) and CERN Document Server (European Organization for Nuclear Research).
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.