Alberto Del Pia
- Computational Theory and Mathematics top 5%
- Numerical Analysis top 5%
- Industrial and Manufacturing Engineering top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Co-authors
- Aida KhajaviradCarlo FilippiRobert WeismantelSantanu S. DeyMarco MolinaroNikolaos V. SahinidisMichele ConfortiGiacomo Zambelli
- Topics
- Advanced Optimization Algorithms Research (19 papers)Complexity and Algorithms in Graphs (14 papers)Advanced Graph Theory Research (13 papers)
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Alberto Del Pia
30 papers receiving 302 citations
Peers
Comparison fields: 5 of 48
- Computational Theory and Mathematics 159
- Numerical Analysis 105
- Industrial and Manufacturing Engineering 94
- Electrical and Electronic Engineering 54
- Artificial Intelligence 44
Countries citing papers authored by Alberto Del Pia
This map shows the geographic impact of Alberto Del Pia'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 Alberto Del Pia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto Del Pia more than expected).
Fields of papers citing papers by Alberto Del Pia
This network shows the impact of papers produced by Alberto Del Pia. 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 Alberto Del Pia. The network helps show where Alberto Del Pia may publish in the future.
Co-authorship network of co-authors of Alberto Del Pia
This figure shows the co-authorship network connecting the top 25 collaborators of Alberto Del Pia. A scholar is included among the top collaborators of Alberto Del Pia 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 Alberto Del Pia. Alberto Del Pia 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 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 13 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 59 | |
| 12 | 10 | |
| 13 | 28 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 7 | |
| 17 | 2 | |
| 18 | 11 | |
| 19 | 4 | |
| 20 | 0 |
About Alberto Del Pia
Alberto Del Pia is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mathematics, having authored 37 papers that have together received 320 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (19 papers), Complexity and Algorithms in Graphs (14 papers) and Advanced Graph Theory Research (13 papers). The work is most often cited by research in Numerical Analysis (105 citations), Computational Mathematics (8 citations) and Computational Theory and Mathematics (159 citations). Alberto Del Pia has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Aida Khajavirad, Carlo Filippi, Robert Weismantel, Santanu S. Dey, Marco Molinaro, Nikolaos V. Sahinidis, Michele Conforti, Giacomo Zambelli, Christian Wagner and Yurii Nesterov. Their work appears in journals such as Mathematical Programming, Annals of Operations Research and SIAM Journal on Optimization.
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.