Andrea D’Ariano
- Industrial and Manufacturing Engineering top 0.02%
- Transportation top 0.05%
- Mechanical Engineering top 0.5%
- Automotive Engineering top 1%
- Aerospace Engineering top 2%
- Co-authors
- Dario PacciarelliMarco PranzoFrancesco CormanMarcella SamàIngo A. HansenJiateng YinLixing YangTao Tang
- Topics
- Railway Systems and Energy Efficiency (125 papers)Transportation Planning and Optimization (101 papers)Railway Engineering and Dynamics (72 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Cleaner ProductionEuropean Journal of Operational Research
- Partner nations
- ItalyChinaNetherlands
In The Last Decade
Andrea D’Ariano
165 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Industrial and Manufacturing Engineering 4.5k
- Transportation 3.4k
- Mechanical Engineering 2.6k
- Automotive Engineering 653
- Aerospace Engineering 561
Countries citing papers authored by Andrea D’Ariano
This map shows the geographic impact of Andrea D’Ariano'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 Andrea D’Ariano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea D’Ariano more than expected).
Fields of papers citing papers by Andrea D’Ariano
This network shows the impact of papers produced by Andrea D’Ariano. 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 Andrea D’Ariano. The network helps show where Andrea D’Ariano may publish in the future.
Co-authorship network of co-authors of Andrea D’Ariano
This figure shows the co-authorship network connecting the top 25 collaborators of Andrea D’Ariano. A scholar is included among the top collaborators of Andrea D’Ariano 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 Andrea D’Ariano. Andrea D’Ariano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 17 | |
| 8 | 0 | |
| 9 | 4 | |
| 10 | 19 | |
| 11 | 11 | |
| 12 | 23 | |
| 13 | 23 | |
| 14 | 15 | |
| 15 | 0 | |
| 16 | 7 | |
| 17 | 83 | |
| 18 | 73 | |
| 19 | Effectiveness of Optimal Aircraft Rerouting Strategies for the Management of Disturbed Traffic Conditions | 2 |
| 20 | Conflict Resolution and Train Speed Coordination Solving Real-Time Timetable Perturbations | 133 |
About Andrea D’Ariano
Andrea D’Ariano is a scholar working on Industrial and Manufacturing Engineering, Transportation and General Economics, Econometrics and Finance, having authored 189 papers that have together received 5.7k indexed citations. Recurring topics across this work include Railway Systems and Energy Efficiency (125 papers), Transportation Planning and Optimization (101 papers) and Railway Engineering and Dynamics (72 papers). The work is most often cited by research in Transportation (3.4k citations), Industrial and Manufacturing Engineering (4.5k citations) and Mechanical Engineering (2.6k citations). Andrea D’Ariano has collaborated with scholars based in Italy, China and Netherlands. Frequent co-authors include Dario Pacciarelli, Marco Pranzo, Francesco Corman, Marcella Samà, Ingo A. Hansen, Jiateng Yin, Lixing Yang, Tao Tang, Lingyun Meng and Yihui Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and European Journal of Operational 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.