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, IEEE Transactions on Industrial Electronics and Automatica.

In The Last Decade

David Naso

165 papers receiving 3.3k citations

Hit Papers

Distributed Consensus-Based Economic Dispatch With Transm... 2014 2026 2018 2022 2014 100 200 300

Peers

David Naso
Comparison fields: 5 of 130
  • Control and Systems Engineering 1.1k
  • Electrical and Electronic Engineering 903
  • Biomedical Engineering 711
  • Artificial Intelligence 492
  • Materials Chemistry 457
Replace M. Premkumar with:
M. Premkumar India
Weimin Zhong China
Biagio Turchiano Italy
Rodolfo E. Haber Spain
Kang Li United Kingdom
David He United States
M. Fesanghary United States
Satish Kumar India
Qiang Zhou China
Mahmoud Elsisi Egypt
M. Premkumar India View profile →
Citations per field, relative to David Naso
David Naso · 1×
Citations per year, relative to David Naso
David Naso · 1×

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

20 of 20 papers shown
# Work Indexed citations
1 2
2 0
3 4
4 3
5 6
6 3
7 13
8 17
9 11
10 39
11 14
12 31
13 7
14 14
15 24
16
Hybrid Meta-Heuristics for Robust Scheduling
1
17 41
18 12
19 27
20
Evolutionary control of Flexible Production Systems
1

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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