P. Amato

39 papers receiving 1.4k citations

P. Amato's Hit Papers

Dynamic Multiobjective Optimization Problems: Test Cases, Approximations, and Applications 2004 · 555 citations
5550+7+14Years since publication100200300400500

Peers

P. Amato
Comparison fields: 5 of 92
  • Computational Theory and Mathematics 964
  • Artificial Intelligence 913
  • Management Science and Operations Research 210
  • Control and Systems Engineering 199
  • Computer Networks and Communications 149
Replace Fangqing Gu with:
Fangqing Gu China
Zhengping Liang China
Gregorio Toscano‐Pulido Mexico
Saku Kukkonen Finland
Mayank Kumar Goyal India
Mohammad Nabi Omidvar Australia
Éric Lefèvre France
Sedigheh Mahdavi Canada
Tatsuya Okabe Germany
P. Amato relative to Fangqing Gu China Fangqing Gu's profile →
Citations per field
00.5×1.6×
Fangqing Gu · 1×
Citations per year

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-authors

The 25 scholars most cited alongside P. Amato, 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 P. Amato Line = papers co-authored together P. Amato links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Dynamic Multiobjective Optimization Problems: Test Cases, Approximations, and Applications
Hit paper breakdown →
2004555
2 2004292
3 2003189
4 200575
5 200561
6 200336
7 200334
8 200428
9 200623
10 200316
11 200415
12 200815
13 200815
14 201414
15 201013
16 200311
17 201610
18 200510
19 200210
20 20037

About P. Amato

P. Amato is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Electrical and Electronic Engineering, Computer Networks and Communications and Control and Systems Engineering, having authored 42 papers that have together received 1.5k indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (8 papers), Advanced Multi-Objective Optimization Algorithms (7 papers), Advanced Data Storage Technologies (6 papers), Neural Networks and Applications (5 papers), Semiconductor materials and devices (5 papers), Parallel Computing and Optimization Techniques (5 papers), Molecular Communication and Nanonetworks (4 papers) and Advanced Algebra and Logic (3 papers). The work is most often cited by research in Computational Theory and Mathematics (964 citations), Artificial Intelligence (913 citations), Management Science and Operations Research (210 citations), Control and Systems Engineering (199 citations) and Computer Networks and Communications (149 citations). P. Amato has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include Mirko Farina, Kalyanmoy Deb, Ljupčo Kocarev, G. F. Cerofolini, Marco J. Morelli, O. Nicrosini, G. Montagna, Massimo Masserini, Marco Ferrari and Gianfranco Cerofolini. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, IEEE Journal on Selected Areas in Communications, IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans, IEEE Transactions on Evolutionary Computation and Nanoscale Research Letters.

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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