M. A.

25 papers receiving 158 citations

Peers

M. A.
Comparison fields: 5 of 43
  • Computer Graphics and Computer-Aided Design 13
  • Computer Vision and Pattern Recognition 34
  • Electrical and Electronic Engineering 85
  • Control and Systems Engineering 25
  • Geology 6
Replace Markos Georgopoulos with:
Markos Georgopoulos United Kingdom
Jingyi Yu China
Shigeki Nojima Japan
Yoshiyuki Mochizuki Japan
Karthik Rajagopal United States
Subeesh Vasu India
Teng Xue China
Nor Farahidah Za’bah Malaysia
Jieyi Long United States
Yawen Yang China
M. A. relative to Markos Georgopoulos United Kingdom Markos Georgopoulos's profile →
Citations per field
00.5×6.5×
Markos Georgopoulos · 1×
Citations per year

Countries citing papers authored by M. A.

Since Specialization
Citations

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

Fields of papers citing papers by M. A.

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200759
2 201329
3 20129
4 20119
5 20138
6 20218
7 20228
8 20127
9 20076
10 20144
11 20023
12 20032
13 20052
14 20182
15 20002
16 20002
17 20172
18 19971
19 20061
20 20041

About M. A.

M. A. is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Management Information Systems, Artificial Intelligence and Aerospace Engineering, having authored 34 papers that have together received 171 indexed citations. Recurring topics across this work include Radio Frequency Integrated Circuit Design (8 papers), Microwave Engineering and Waveguides (7 papers), Multilevel Inverters and Converters (5 papers), Advancements in PLL and VCO Technologies (5 papers), Silicon Carbide Semiconductor Technologies (4 papers), Advanced DC-DC Converters (4 papers), Big Data and Business Intelligence (3 papers) and Antenna Design and Analysis (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (13 citations), Computer Vision and Pattern Recognition (34 citations), Electrical and Electronic Engineering (85 citations), Control and Systems Engineering (25 citations) and Geology (6 citations). M. A. has collaborated with scholars based in India, Singapore and United States. Frequent co-authors include Laurent Moccozet, Michela Spagnuolo, Daniel Thalmann, Haosheng Wu, Michela Mortara, Nadia Magnenat‐Thalmann, Frédéric Vexo, Christopher J. Bettinger, Kiat Seng Yeo and Chirn Chye Boon. Their work appears in journals such as Microwave and Optical Technology Letters, IEEE Transactions on Industrial Electronics, Advanced Materials Interfaces, The Visual Computer and Advanced Materials.

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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