Nicola Ciocchini
- Electrical and Electronic Engineering top 10%
- Materials Chemistry
- Polymers and Plastics top 10%
- Cellular and Molecular Neuroscience
- Artificial Intelligence
- Co-authors
- Daniele IelminiMarco CassinerioPaolo FantiniMario LaudatoStefano AmbrogioValerio MiloAgostino PirovanoAndrea L. Lacaita
- Topics
- Phase-change materials and chalcogenides (18 papers)Advanced Memory and Neural Computing (11 papers)Chalcogenide Semiconductor Thin Films (9 papers)
- Cited by
- Electrical and Electronic EngineeringPolymers and PlasticsCellular and Molecular Neuroscience
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Nicola Ciocchini
19 papers receiving 571 citations
Peers
Comparison fields: 5 of 22
- Electrical and Electronic Engineering 556
- Materials Chemistry 310
- Polymers and Plastics 132
- Cellular and Molecular Neuroscience 123
- Artificial Intelligence 76
Countries citing papers authored by Nicola Ciocchini
This map shows the geographic impact of Nicola Ciocchini'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 Nicola Ciocchini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicola Ciocchini more than expected).
Fields of papers citing papers by Nicola Ciocchini
This network shows the impact of papers produced by Nicola Ciocchini. 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 Nicola Ciocchini. The network helps show where Nicola Ciocchini may publish in the future.
Co-authorship network of co-authors of Nicola Ciocchini
This figure shows the co-authorship network connecting the top 25 collaborators of Nicola Ciocchini. A scholar is included among the top collaborators of Nicola Ciocchini 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 Nicola Ciocchini. Nicola Ciocchini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 60 | |
| 2 | 185 | |
| 3 | 24 | |
| 4 | 1 | |
| 5 | 13 | |
| 6 | 11 | |
| 7 | 5 | |
| 8 | 6 | |
| 9 | 31 | |
| 10 | 38 | |
| 11 | 3 | |
| 12 | 10 | |
| 13 | 139 | |
| 14 | 8 | |
| 15 | 27 | |
| 16 | 5 | |
| 17 | 3 | |
| 18 | 1 | |
| 19 | 18 |
About Nicola Ciocchini
Nicola Ciocchini is a scholar working on Polymers and Plastics, Materials Chemistry and Electronic, Optical and Magnetic Materials, having authored 19 papers that have together received 588 indexed citations. Recurring topics across this work include Phase-change materials and chalcogenides (18 papers), Advanced Memory and Neural Computing (11 papers) and Chalcogenide Semiconductor Thin Films (9 papers). The work is most often cited by research in Electrical and Electronic Engineering (556 citations), Polymers and Plastics (132 citations) and Cellular and Molecular Neuroscience (123 citations). Nicola Ciocchini has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Daniele Ielmini, Marco Cassinerio, Paolo Fantini, Mario Laudato, Stefano Ambrogio, Valerio Milo, Agostino Pirovano, Andrea L. Lacaita, Davide Fugazza and Mattia Boniardi. Their work appears in journals such as Advanced Materials, Applied Physics Letters and Journal of Applied Physics.
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.