David Naso
Impact in
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- Microgrid Control and Optimization
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- Advanced Manufacturing and Logistics Optimization
- Scheduling and Optimization Algorithms
Papers in
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- Piezoelectric Actuators and Control 20
- Iterative Learning Control Systems 18
- Adaptive Control of Nonlinear Systems 17
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- Dielectric materials and actuators 30
- Advanced Sensor and Energy Harvesting Materials 27
- Co-authors
- Biagio Turchiano (71 shared papers)Francesco Cupertino (31 shared papers)Gianluca Rizzello (49 shared papers)Giulio Binetti (15 shared papers)Stefan Seelecke (35 shared papers)Frank L. Lewis (15 shared papers)Ali Davoudi (8 shared papers)Ernesto Mininno (12 shared papers)
In The Last Decade
David Naso
172 papers receiving 3.6k citations
David Naso's Hit Papers
Peers
Comparison fields: 5 of 128
- Control and Systems Engineering 1.2k
- Industrial and Manufacturing Engineering 462
- Computational Theory and Mathematics 302
- Biomedical Engineering 751
- Computer Networks and Communications 410
Countries citing papers authored by David Naso
This map shows the geographic impact of David Naso'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 David Naso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Naso more than expected).
Fields of papers citing papers by David Naso
This network shows the impact of papers produced by David Naso. 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 David Naso. The network helps show where David Naso may publish in the future.
Co-authors
The 25 scholars most cited alongside David Naso, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 178 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Distributed Consensus-Based Economic Dispatch With Transmission Losses Hit paper breakdown → | 2014 | 374 |
| 2 | 2010 | 210 | |
| 3 | 2006 | 177 | |
| 4 | 2013 | 167 | |
| 5 | 2008 | 115 | |
| 6 | 2014 | 107 | |
| 7 | 2016 | 95 | |
| 8 | 2015 | 74 | |
| 9 | 2006 | 73 | |
| 10 | 2009 | 68 | |
| 11 | 2015 | 67 | |
| 12 | 2005 | 66 | |
| 13 | 2016 | 63 | |
| 14 | 2013 | 62 | |
| 15 | 2016 | 61 | |
| 16 | 2015 | 58 | |
| 17 | 2012 | 56 | |
| 18 | 2016 | 50 | |
| 19 | 2004 | 49 | |
| 20 | 2010 | 49 |
About David Naso
David Naso is a scholar working on Control and Systems Engineering, Biomedical Engineering, Industrial and Manufacturing Engineering, Electrical and Electronic Engineering and Materials Chemistry, having authored 178 papers that have together received 3.7k indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (31 papers), Dielectric materials and actuators (30 papers), Advanced Sensor and Energy Harvesting Materials (27 papers), Advanced Manufacturing and Logistics Optimization (22 papers), Shape Memory Alloy Transformations (22 papers), Piezoelectric Actuators and Control (20 papers), Iterative Learning Control Systems (18 papers) and Adaptive Control of Nonlinear Systems (17 papers). The work is most often cited by research in Control and Systems Engineering (1.2k citations), Industrial and Manufacturing Engineering (462 citations), Computational Theory and Mathematics (302 citations), Biomedical Engineering (751 citations) and Computer Networks and Communications (410 citations). David Naso has collaborated with scholars based in Italy, Germany and Mexico. Frequent co-authors include Biagio Turchiano, Francesco Cupertino, Gianluca Rizzello, Giulio Binetti, Stefan Seelecke, Frank L. Lewis, Ali Davoudi, Ernesto Mininno, Hartmut Janocha and Alexander York. Their work appears in journals such as IEEE Transactions on Control Systems Technology, Smart Materials and Structures, IEEE Transactions on Industry Applications, IEEE Transactions on Evolutionary Computation and IEEE Transactions on Automation Science and Engineering.
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.