P. Amato

1.8k total citations · 1 hit paper
31 papers, 1.2k citations indexed

About

P. Amato is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, P. Amato has authored 31 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 10 papers in Artificial Intelligence and 8 papers in Computer Networks and Communications. Recurrent topics in P. Amato's work include Advanced Data Storage Technologies (5 papers), Fuzzy Logic and Control Systems (5 papers) and Parallel Computing and Optimization Techniques (5 papers). P. Amato is often cited by papers focused on Advanced Data Storage Technologies (5 papers), Fuzzy Logic and Control Systems (5 papers) and Parallel Computing and Optimization Techniques (5 papers). P. Amato collaborates with scholars based in Italy, United States and Switzerland. P. Amato's co-authors include Mirko Farina, Kalyanmoy Deb, Ljupčo Kocarev, G. F. Cerofolini, Marco J. Morelli, G. Montagna, O. Nicrosini, Marcelo Porto, Marco Ferrari and S. Bellini and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, IEEE Transactions on Evolutionary Computation and IEEE Transactions on Computers.

In The Last Decade

P. Amato

27 papers receiving 1.1k citations

Hit Papers

Dynamic Multiobjective Optimization Problems: Test Cases,... 2004 2026 2011 2018 2004 100 200 300 400
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.

  1. Dynamic Multiobjective Optimization Problems: Test Cases, Approximations, and Applications
    2004 482 citations Mirko Farina, Kalyanmoy Deb et al. IEEE Transactions on Evolutionary Computation profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
P. Amato Italy 11 762 727 168 151 130 31 1.2k
Cai-Min Wei China 13 746 1.0× 697 1.0× 88 0.5× 116 0.8× 101 0.8× 29 1.3k
Zhengping Liang China 19 832 1.1× 994 1.4× 106 0.6× 100 0.7× 97 0.7× 48 1.4k
Sedigheh Mahdavi Canada 10 425 0.6× 693 1.0× 62 0.4× 94 0.6× 81 0.6× 20 960
Abdel-Rahman Hedar Egypt 15 566 0.7× 751 1.0× 74 0.4× 89 0.6× 123 0.9× 67 1.2k
Isao Ono Japan 19 629 0.8× 850 1.2× 94 0.6× 273 1.8× 203 1.6× 103 1.7k
Sanyou Zeng China 19 746 1.0× 958 1.3× 89 0.5× 193 1.3× 73 0.6× 87 1.4k
Fangqing Gu China 17 1.4k 1.9× 1.4k 1.9× 279 1.7× 158 1.0× 84 0.6× 70 1.8k
Mohamed A. Tawhid Canada 20 520 0.7× 760 1.0× 38 0.2× 128 0.8× 87 0.7× 65 1.3k
Mayank Kumar Goyal India 9 752 1.0× 745 1.0× 144 0.9× 133 0.9× 89 0.7× 38 1.3k
Mohammad Nabi Omidvar Australia 22 1.9k 2.5× 2.3k 3.1× 206 1.2× 182 1.2× 142 1.1× 40 2.7k

Countries citing papers authored by P. Amato

Since Specialization
Citations

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

Fields of papers citing papers by P. Amato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Amato

This figure shows the co-authorship network connecting the top 25 collaborators of P. Amato. A scholar is included among the top collaborators of P. Amato 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 P. Amato. P. Amato 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
1.
Radojković, Petar, et al.. (2024). On Key–Value Sort With Active Compute Memory. IEEE Transactions on Computers. 73(5). 1341–1356. 2 indexed citations
2.
Barletta, Luca, et al.. (2024). Low-Complexity Pearson-Based Detection for AWGN Channels with Offset. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1592–1597.
3.
Amato, P., et al.. (2018). Self-Referenced Read Methodology for EMs. 1–4.
4.
Amato, P., et al.. (2016). Fast Decoding ECC for Future Memories. IEEE Journal on Selected Areas in Communications. 34(9). 2486–2497. 8 indexed citations
5.
Amato, P., et al.. (2015). Mobile Memory Systems. 1–7. 1 indexed citations
6.
Amato, P., et al.. (2015). An Analytical Model of eMMC Key Performance Indicators. 1–4. 2 indexed citations
7.
Cerofolini, Gianfranco, P. Amato, Massimo Masserini, & Giancarlo Mauri. (2010). A Surveillance System for Early-Stage Diagnosis of Endogenous Diseases by Swarms of Nanobots. Advanced Science Letters. 3(4). 345–352. 9 indexed citations
8.
Cerofolini, G. F., et al.. (2008). Fractal Nanotechnology. Nanoscale Research Letters. 3(10). 14 indexed citations
9.
Cerofolini, G. F., et al.. (2008). The multi-spacer patterning technique: a non-lithographic technique for terascale integration. Semiconductor Science and Technology. 23(7). 75020–75020. 12 indexed citations
10.
Cerofolini, G. F. & P. Amato. (2007). Fuzzy Chemistry ߞ An Axiomatic Theory for General Chemistry. 173. 1–6.
11.
Amato, P., Antonio Di Nola, & Brunella Gerla. (2005). Neural Networks and Rational Lukasiewicz Logic. IrInSubria (University of Insubria). 11. 95–110. 1 indexed citations
12.
Kocarev, Ljupčo, et al.. (2005). Public-Key Encryption Based on Chebyshev Polynomials. Circuits Systems and Signal Processing. 24(5). 497–517. 54 indexed citations
13.
Kocarev, Ljupčo, et al.. (2004). RSA encryption algorithm based on torus automorphisms. 2. IV–577. 6 indexed citations
14.
Farina, Mirko, Kalyanmoy Deb, & P. Amato. (2004). Dynamic Multiobjective Optimization Problems: Test Cases, Approximations, and Applications. IEEE Transactions on Evolutionary Computation. 8(5). 425–442. 482 indexed citations breakdown →
15.
Farina, Marcello, et al.. (2004). Modelling the Rate of Heat Release in Common Rail Diesel Engines: a Soft Computing Approach. SAE technical papers on CD-ROM/SAE technical paper series. 14 indexed citations
16.
Farina, Mirko & P. Amato. (2003). Linked interpolation-optimization strategies for multicriteria optimization problems. Soft Computing. 9(1). 54–65. 9 indexed citations
17.
Montagna, G., et al.. (2003). Pricing derivatives by path integral and neural networks. Physica A Statistical Mechanics and its Applications. 324(1-2). 189–195. 16 indexed citations
18.
Farina, Mirko & P. Amato. (2003). On the optimal solution definition for many-criteria optimization problems. 233–238. 156 indexed citations
19.
Amato, P., Antonio Di Nola, & Brunella Gerla. (2003). Neural networks and rational Lukasiewicz logic. 506–510. 4 indexed citations
20.
Porto, Marcelo & P. Amato. (2002). A fuzzy approach for modeling chaotic dynamics with assigned properties. 1. 435–440. 9 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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