D. Porto

615 citations
18 papers · 508 · h-index 7

Impact in

Papers in

D. Porto

15 papers receiving 491 citations

Peers

D. Porto
Comparison fields: 5 of 32
  • Modeling and Simulation 178
  • Statistical and Nonlinear Physics 309
  • Computer Networks and Communications 274
  • Control and Systems Engineering 126
  • Artificial Intelligence 134
Replace Ruoxun Zhang with:
Ruoxun Zhang China
Pratap Anbalagan India
Saurabh Agrawal India
P. Muthukumar India
Hong-Bo Sun United States
V. Vembarasan India
Junzhi Yu China
Pharunyou Chanthorn Thailand
Hasan Pourmahmood Aghababa Iran
Hao Yin China
D. Porto relative to Ruoxun Zhang China Ruoxun Zhang's profile →
Citations per field
00.5×1.6×
Ruoxun Zhang · 1×
Citations per year

Countries citing papers authored by D. Porto

Since Specialization
Citations

This map shows the geographic impact of D. Porto'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 D. Porto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Porto more than expected).

Fields of papers citing papers by D. Porto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Porto. 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 D. Porto. The network helps show where D. Porto may publish in the future.

Co-authors

The 12 scholars most cited alongside D. Porto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D. Porto Line = papers co-authored together D. Porto links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1998176
2 2000142
3 2000100
4 200423
5 200222
6 201021
7 20069
8 20034
9
Hardware implementation of fast quantum searching algorithms and its application in quantum soft computing and intelligent control
20042
10 20242
11 20022
12 20042
13 20031
14 20031
15 20031
16 20030
17 20020
18
A fuzzy description of the Henon chaotic map
20050

About D. Porto

D. Porto is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Computer Networks and Communications, Computational Theory and Mathematics and Control and Systems Engineering, having authored 18 papers that have together received 508 indexed citations. Recurring topics across this work include Neural Networks and Applications (7 papers), Neural Networks Stability and Synchronization (6 papers), stochastic dynamics and bifurcation (5 papers), Quantum-Dot Cellular Automata (4 papers), Neural Networks and Reservoir Computing (3 papers), Nonlinear Dynamics and Pattern Formation (2 papers), Fuzzy Logic and Control Systems (2 papers) and Advanced Control Systems Design (2 papers). The work is most often cited by research in Modeling and Simulation (178 citations), Statistical and Nonlinear Physics (309 citations), Computer Networks and Communications (274 citations), Control and Systems Engineering (126 citations) and Artificial Intelligence (134 citations). D. Porto has collaborated with scholars based in Italy and Switzerland. Frequent co-authors include Luigi Fortuna, P. Arena, Riccardo Caponetto, Paolo Arena, Giovanni Muscato, Manuela La Rosa, Daria Nicolosi, Maide Bucolo, Alessandro Rizzo and Luigi G. Occhipinti. Their work appears in journals such as International Journal of Bifurcation and Chaos, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Transactions on Control Systems Technology, IFAC Proceedings Volumes and Cambridge University Engineering Department Publications Database.

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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