Luca Parolini
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
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- Advanced Data Storage Technologies
- Distributed and Parallel Computing Systems
- IoT and Edge/Fog Computing
Papers in
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- Cloud Computing and Resource Management 6
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- Advanced Data Storage Technologies 3
- Interconnection Networks and Systems 2
- Co-authors
- Bruno Sinopoli (6 shared papers)Bruce H. Krogh (5 shared papers)Zhikui Wang (1 shared paper)Niraj H. Tolia (1 shared paper)Emanuele Garone (1 shared paper)Enrico Serra (1 shared paper)Simone Schuler (1 shared paper)Rolf Witzmann (1 shared paper)
- Journals
- Proceedings of the IEEE (1 paper)IFAC Proceedings Volumes (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)EPiC series in computing (1 paper)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Luca Parolini
9 papers receiving 297 citations
Peers
Comparison fields: 5 of 37
- Hardware and Architecture 99
- Computer Networks and Communications 185
- Information Systems 167
- Control and Systems Engineering 70
- Industrial and Manufacturing Engineering 20
Countries citing papers authored by Luca Parolini
This map shows the geographic impact of Luca Parolini'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 Luca Parolini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Parolini more than expected).
Fields of papers citing papers by Luca Parolini
This network shows the impact of papers produced by Luca Parolini. 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 Luca Parolini. The network helps show where Luca Parolini may publish in the future.
Co-authors
The 9 scholars most cited alongside Luca Parolini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 149 | |
| 2 | 2010 | 68 | |
| 3 | Reducing data center energy consumption via coordinated cooling and load management | 2008 | 48 |
| 4 | 2010 | 16 | |
| 5 | Models and Control Strategies for Data Center Energy Efficiency | 2012 | 11 |
| 6 | 2011 | 10 | |
| 7 | 2010 | 7 | |
| 8 | 2016 | 2 | |
| 9 | 2018 | 1 |
About Luca Parolini
Luca Parolini is a scholar working on Information Systems, Computer Networks and Communications, Hardware and Architecture, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 9 papers that have together received 312 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (6 papers), Parallel Computing and Optimization Techniques (5 papers), Advanced Data Storage Technologies (3 papers), Green IT and Sustainability (2 papers), Interconnection Networks and Systems (2 papers), Optimal Power Flow Distribution (1 paper), Microgrid Control and Optimization (1 paper) and Advanced Control Systems Optimization (1 paper). The work is most often cited by research in Hardware and Architecture (99 citations), Computer Networks and Communications (185 citations), Information Systems (167 citations), Control and Systems Engineering (70 citations) and Industrial and Manufacturing Engineering (20 citations). Luca Parolini has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Bruno Sinopoli, Bruce H. Krogh, Zhikui Wang, Niraj H. Tolia, Emanuele Garone, Enrico Serra, Simone Schuler, Rolf Witzmann and Adolfo Anta. Their work appears in journals such as Proceedings of the IEEE, IFAC Proceedings Volumes, Zenodo (CERN European Organization for Nuclear Research) and EPiC series in computing.
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.