Alessandro Donati
- Molecular Biology
- Artificial Intelligence
- Signal Processing
- Control and Systems Engineering
- Organic Chemistry
- Co-authors
- Thomas Leroy JamesChojiro KojimaAgnieszka SierzchałaPatrick FurrerBolesław T. KarwowskiWojciech J. StecTodd M. BilleciLetitia J. Yao
- Topics
- Time Series Analysis and Forecasting (3 papers)Spacecraft Design and Technology (3 papers)Distributed and Parallel Computing Systems (3 papers)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Alessandro Donati
19 papers receiving 108 citations
Peers
Comparison fields: 5 of 58
- Molecular Biology 42
- Artificial Intelligence 36
- Signal Processing 17
- Control and Systems Engineering 16
- Organic Chemistry 15
Countries citing papers authored by Alessandro Donati
This map shows the geographic impact of Alessandro Donati'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 Alessandro Donati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandro Donati more than expected).
Fields of papers citing papers by Alessandro Donati
This network shows the impact of papers produced by Alessandro Donati. 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 Alessandro Donati. The network helps show where Alessandro Donati may publish in the future.
Co-authorship network of co-authors of Alessandro Donati
This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Donati. A scholar is included among the top collaborators of Alessandro Donati 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 Alessandro Donati. Alessandro Donati 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 | 2 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 15 | |
| 8 | 1 | |
| 9 | 26 | |
| 10 | 0 | |
| 11 | DrMUST: Automating the Anomaly Investigation First-Cut | 4 |
| 12 | 3 | |
| 13 | 1 | |
| 14 | SPACECRAFT FAULT ANALYSIS USING DATA MINING TECHNIQUES | 3 |
| 15 | MUST: Mission Utility & Support Tools | 2 |
| 16 | 3 | |
| 17 | Fuzzy Expert System for Gyroscope Fault Detection | 5 |
| 18 | High soil as level in the area of a plant for pyrite processing: natural anomaly vs pollution hypothesis | 4 |
| 19 | 23 | |
| 20 | 12 |
About Alessandro Donati
Alessandro Donati is a scholar working on Signal Processing, Developmental Neuroscience and Environmental Chemistry, having authored 22 papers that have together received 121 indexed citations. Recurring topics across this work include Time Series Analysis and Forecasting (3 papers), Spacecraft Design and Technology (3 papers) and Distributed and Parallel Computing Systems (3 papers). The work is most often cited by research in Signal Processing (17 citations), Artificial Intelligence (36 citations) and Environmental Chemistry (8 citations). Alessandro Donati has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Thomas Leroy James, Chojiro Kojima, Agnieszka Sierzchała, Patrick Furrer, Bolesław T. Karwowski, Wojciech J. Stec, Todd M. Billeci, Letitia J. Yao, D. J. Evans and Nikolai B. Ulyanov. Their work appears in journals such as The Journal of Chemical Physics, Journal of Molecular Biology and Biopolymers.
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.