A. Ikonomopoulos

42 papers receiving 483 citations

Peers

A. Ikonomopoulos
Comparison fields: 5 of 72
  • Control and Systems Engineering 131
  • Management Science and Operations Research 69
  • Aerospace Engineering 115
  • Radiation 39
  • Artificial Intelligence 135
Replace Anderson Alvarenga de Moura Meneses with:
Anderson Alvarenga de Moura Meneses Brazil
Cheng Peng China
Tatiana Tambouratzis Greece
GT Parks United Kingdom
Liming Zhang China
Eric B. Bartlett United States
Amedeo Buonanno Italy
Andrea Bagnasco Italy
Douglas J. DePriest Israel
Joel Weisman United States
A. Ikonomopoulos relative to Anderson Alvarenga de Moura Meneses Brazil Anderson Alvarenga de Moura Meneses's profile →
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Citations per year

Countries citing papers authored by A. Ikonomopoulos

Since Specialization
Citations

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

Fields of papers citing papers by A. Ikonomopoulos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019130
2 201271
3 199333
4 201127
5 201724
6 201215
7 201815
8 201214
9 201113
10 201413
11 199713
12 201412
13 199812
14 201210
15 19829
16 20129
17 20198
18
Use of neural networks to monitor power plant components
19928
19 19997
20 20137

About A. Ikonomopoulos

A. Ikonomopoulos is a scholar working on Control and Systems Engineering, Aerospace Engineering, Artificial Intelligence, Statistics, Probability and Uncertainty and Information Systems and Management, having authored 45 papers that have together received 518 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (19 papers), Neural Networks and Applications (12 papers), Nuclear Engineering Thermal-Hydraulics (11 papers), Nuclear reactor physics and engineering (10 papers), Fuzzy Logic and Control Systems (7 papers), Nuclear Materials and Properties (5 papers), Scientific Computing and Data Management (4 papers) and Research Data Management Practices (3 papers). The work is most often cited by research in Control and Systems Engineering (131 citations), Management Science and Operations Research (69 citations), Aerospace Engineering (115 citations), Radiation (39 citations) and Artificial Intelligence (135 citations). A. Ikonomopoulos has collaborated with scholars based in Greece, United States and Germany. Frequent co-authors include Lefteri H. Tsoukalas, Miltiadis Alamaniotis, George Sideratos, Nikos D. Hatziargyriou, Robert E. Uhrig, Stylianos Chatzidakis, Tim H. J. J. van der Hagen, D. Ridikas, S. Andronopoulos and Akira Endou. Their work appears in journals such as Nuclear Technology, Nuclear Engineering and Design, Annals of Nuclear Energy, IEEE Transactions on Power Systems and Electric Power Systems Research.

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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