A.G. Parlos

3.0k citations
99 papers · 2.4k · h-index 25

Impact in

    • Fault Detection and Control Systems
    • Machine Fault Diagnosis Techniques
    • Control Systems and Identification
    • Advanced Control Systems Optimization
    • Neural Networks and Applications
    • Neural Networks and Reservoir Computing

Papers in

A.G. Parlos

92 papers receiving 2.2k citations

Peers

A.G. Parlos
Comparison fields: 5 of 107
  • Control and Systems Engineering 1.3k
  • Artificial Intelligence 808
  • Electrical and Electronic Engineering 727
  • Signal Processing 124
  • Mechanical Engineering 391
Replace M.J. Grimble with:
M.J. Grimble United Kingdom
Maria Gabriella Xibilia Italy
M. L. Workman United States
Adrian Wills Australia
Peng Li China
Ioan Doré Landau France
D.P. Atherton United Kingdom
Brett Ninness Australia
Mehmet Önder Efe Türkiye
Kwai Sin Australia
A.G. Parlos relative to M.J. Grimble United Kingdom M.J. Grimble's profile →
Citations per field
00.5×1.5×2.1×
M.J. Grimble · 1×
Citations per year

Countries citing papers authored by A.G. Parlos

Since Specialization
Citations

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

Fields of papers citing papers by A.G. Parlos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000393
2 1996198
3 2002171
4 1994166
5 2000138
6 199486
7 200183
8 200362
9 200357
10 200354
11 200052
12 200142
13 199241
14 199241
15 199438
16 198837
17 200235
18 199035
19 200235
20 200434

About A.G. Parlos

A.G. Parlos is a scholar working on Control and Systems Engineering, Artificial Intelligence, Aerospace Engineering, Electrical and Electronic Engineering and Mechanical Engineering, having authored 99 papers that have together received 2.4k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (44 papers), Neural Networks and Applications (27 papers), Machine Fault Diagnosis Techniques (24 papers), Control Systems and Identification (17 papers), Advanced Control Systems Optimization (14 papers), Nuclear reactor physics and engineering (11 papers), Sensorless Control of Electric Motors (7 papers) and Electric Motor Design and Analysis (6 papers). The work is most often cited by research in Control and Systems Engineering (1.3k citations), Artificial Intelligence (808 citations), Electrical and Electronic Engineering (727 citations), Signal Processing (124 citations) and Mechanical Engineering (391 citations). A.G. Parlos has collaborated with scholars based in United States, South Korea and Egypt. Frequent co-authors include Amir F. Atiya, Kyusung Kim, Hamid A. Toliyat, Kil To Chong, M.S. Arefeen, Raj Bharadwaj, B. Fernandez, W.K. Tsai, S. Nandi and Nikolaos Kazantzis. Their work appears in journals such as Control Engineering Practice, Nuclear Science and Engineering, Journal of Dynamic Systems Measurement and Control, Nuclear Technology and Mechanical Systems and Signal Processing.

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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