David Naso

4.4k total citations · 1 hit paper
171 papers, 3.4k citations indexed

About

David Naso is a scholar working on Control and Systems Engineering, Biomedical Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, David Naso has authored 171 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Control and Systems Engineering, 38 papers in Biomedical Engineering and 34 papers in Industrial and Manufacturing Engineering. Recurrent topics in David Naso's work include Scheduling and Optimization Algorithms (29 papers), Dielectric materials and actuators (29 papers) and Advanced Sensor and Energy Harvesting Materials (26 papers). David Naso is often cited by papers focused on Scheduling and Optimization Algorithms (29 papers), Dielectric materials and actuators (29 papers) and Advanced Sensor and Energy Harvesting Materials (26 papers). David Naso collaborates with scholars based in Italy, Germany and Mexico. David Naso's 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 and has published in prestigious journals such as Food Chemistry, Automatica and IEEE Transactions on Industrial Electronics.

In The Last Decade

David Naso

165 papers receiving 3.3k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Distributed Consensus-Based Economic Dispatch With Transmission Losses

2014 365 citations Giulio Binetti, Ali Davoudi et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
David Naso	1.1k	903	711	492	457	171	3.4k
M. Premkumar	840 0.8×	1.6k 1.8×	169 0.2×	1.9k 3.8×	246 0.5×	137	4.2k
Weimin Zhong	1.1k 1.0×	258 0.3×	230 0.3×	387 0.8×	89 0.2×	178	2.3k
Biagio Turchiano	877 0.8×	661 0.7×	102 0.1×	166 0.3×	191 0.4×	114	2.4k
Rodolfo E. Haber	1.4k 1.3×	744 0.8×	362 0.5×	598 1.2×	44 0.1×	169	3.5k
Kang Li	1.5k 1.3×	3.5k 3.9×	178 0.3×	1.1k 2.2×	191 0.4×	271	6.3k
David He	3.1k 2.8×	501 0.6×	314 0.4×	376 0.8×	170 0.4×	162	5.5k
Satish Kumar	499 0.5×	908 1.0×	231 0.3×	320 0.7×	183 0.4×	122	3.7k
M. Fesanghary	546 0.5×	825 0.9×	151 0.2×	1.1k 2.2×	79 0.2×	22	3.3k
Qiang Zhou	652 0.6×	1.1k 1.3×	129 0.2×	230 0.5×	66 0.1×	203	2.7k
Mahmoud Elsisi	1.6k 1.5×	1.6k 1.8×	119 0.2×	404 0.8×	91 0.2×	100	3.1k

Countries citing papers authored by David Naso

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of David Naso

This figure shows the co-authorship network connecting the top 25 collaborators of David Naso. A scholar is included among the top collaborators of David Naso 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 David Naso. David Naso is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Tipaldi, Massimo, et al.. (2024). A switching control strategy for policy selection in stochastic Dynamic Programming problems. Automatica. 171. 111884–111884. 2 indexed citations

Naso, David, et al.. (2024). An experimental parametric analysis of the acoustic response in dielectric elastomer loudspeakers. Journal of Vibration and Control. 31(15-16). 3463–3470.

Brunetti, Antonio, Guido Pasquini, David Naso, et al.. (2023). A Serious Game for the Assessment of Visuomotor Adaptation Capabilities during Locomotion Tasks Employing an Embodied Avatar in Virtual Reality. Sensors. 23(11). 5017–5017. 3 indexed citations

Tipaldi, Massimo, et al.. (2023). Gain-Scheduled Structured Control in DC Microgrids. IEEE Transactions on Control Systems Technology. 31(6). 2571–2583. 4 indexed citations

Naso, David, et al.. (2023). Design, Modeling, and Experimental Validation of a High Voltage Driving Circuit for Dielectric Elastomer Actuators. IEEE Transactions on Industrial Electronics. 71(5). 5083–5093. 6 indexed citations

Naso, David, et al.. (2023). Autonomous flight insurance method of unmanned aerial vehicles Parot Mambo using semantic segmentation data. RADIOELECTRONIC AND COMPUTER SYSTEMS. 147–154. 3 indexed citations

Naso, David, et al.. (2020). Assistive Power Buffer Control via Adaptive Dynamic Programming. IEEE Transactions on Energy Conversion. 35(3). 1534–1546. 17 indexed citations

Naso, David, et al.. (2020). Data-Driven Sparsity-Promoting Optimal Control of Power Buffers in DC Microgrids. IEEE Transactions on Energy Conversion. 36(3). 1919–1930. 13 indexed citations

Rizzello, Gianluca, et al.. (2020). Reinforcement Learning-Based Minimum Energy Position Control of Dielectric Elastomer Actuators. IEEE Transactions on Control Systems Technology. 29(4). 1674–1688. 11 indexed citations

10.

Rizzello, Gianluca, et al.. (2019). Towards Sensorless Soft Robotics: Self-Sensing Stiffness Control of Dielectric Elastomer Actuators. IEEE Transactions on Robotics. 36(1). 174–188. 39 indexed citations

11.

Rizzello, Gianluca, et al.. (2018). Simultaneous Self-Sensing of Displacement and Force for Soft Dielectric Elastomer Actuators. IEEE Robotics and Automation Letters. 3(2). 1230–1236. 31 indexed citations

12.

Rizzello, Gianluca, et al.. (2018). An accurate dynamic model for polycrystalline shape memory alloy wire actuators and sensors. Smart Materials and Structures. 28(2). 25020–25020. 14 indexed citations

13.

Rizzello, Gianluca, Micah Hodgins, Stefan Seelecke, & David Naso. (2016). Self-sensing at low sampling-to-signal frequency ratio: An improved algorithm for dielectric elastomer actuators. 1–6. 7 indexed citations

14.

Rizzello, Gianluca, David Naso, Alexander York, & Stefan Seelecke. (2015). Self-sensing in dielectric electro-active polymer actuator using linear-in-parametes online estimation. 300–306. 14 indexed citations

15.

Binetti, Giulio, Mohammed Abouheaf, Frank L. Lewis, et al.. (2013). Distributed solution for the economic dispatch problem. 243–250. 24 indexed citations

16.

Kaymak, Uzay, et al.. (2006). Hybrid Meta-Heuristics for Robust Scheduling. RePub (Erasmus University, Rotterdam). 1 indexed citations

17.

Maione, Guido & David Naso. (2004). Modelling adaptive multi-agent manufacturing control with discrete event system formalism. International Journal of Systems Science. 35(10). 591–614. 12 indexed citations

18.

Naso, David, et al.. (2004). Genetic Algorithms in Supply Chain Scheduling of Ready-Mixed Concrete. RePub (Erasmus University, Rotterdam). 8 indexed citations

19.

Maione, Bruno & David Naso. (1999). Multi-Agent Routing Control in Heterarchical Manufacturing Systems.. 11(4). 379–81. 3 indexed citations

20.

Fanti, Maria Pia, Bruno Maione, David Naso, & Biagio Turchiano. (1996). Evolutionary control of Flexible Production Systems. 7–11. 1 indexed citations

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.

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