Murat Aşkar

29 papers receiving 1.2k citations

Hit Papers

Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks 2016 · 1.1k citations
1.1k20162026201920222505007501000

Peers

Murat Aşkar
Comparison fields: 5 of 88
  • Control and Systems Engineering 813
  • Mechanical Engineering 449
  • Mechanics of Materials 272
  • Industrial and Manufacturing Engineering 92
  • Artificial Intelligence 242
Replace Viktor Slavkovikj with:
Viktor Slavkovikj Belgium
Xuyun Fu China
Yuqing Li China
Jianbin Xiong China
Haixin Lv China
Cheol Hong Kim South Korea
Jingyao Wu China
Yiming Xiao China
Yuantao Yang China
K. R. Al-Balushi Oman
Murat Aşkar relative to Viktor Slavkovikj Belgium Viktor Slavkovikj's profile →
Citations per field
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Citations per year

Countries citing papers authored by Murat Aşkar

Since Specialization
Citations

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

Fields of papers citing papers by Murat Aşkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Murat Aşkar, 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 Murat Aşkar Line = papers co-authored together Murat Aşkar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks
Hit paper breakdown →
20161056
2 202152
3 198132
4 200426
5 200412
6 201812
7 200411
8 200410
9 20167
10 20057
11 20226
12 20006
13 20054
14 20054
15 20034
16
Verification of delay insensitivity in bit-level pipelined dual-rail threshold logic adders
20083
17 19853
18 20253
19 19833
20 20212

About Murat Aşkar

Murat Aşkar is a scholar working on Hardware and Architecture, Control and Systems Engineering, Artificial Intelligence, Conservation and Computer Graphics and Computer-Aided Design, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (7 papers), Machine Fault Diagnosis Techniques (6 papers), Radio Frequency Integrated Circuit Design (5 papers), Advancements in PLL and VCO Technologies (5 papers), Low-power high-performance VLSI design (4 papers), Microwave Engineering and Waveguides (4 papers), Coding theory and cryptography (3 papers) and Chaos-based Image/Signal Encryption (3 papers). The work is most often cited by research in Control and Systems Engineering (813 citations), Mechanical Engineering (449 citations), Mechanics of Materials (272 citations), Industrial and Manufacturing Engineering (92 citations) and Artificial Intelligence (242 citations). Murat Aşkar has collaborated with scholars based in Türkiye, Finland and United States. Frequent co-authors include Levent Eren, Türker İnce, Moncef Gabbouj, Serkan Kıranyaz, Haluk Derin, Özer Can Devecioğlu, Şímşek Demír, Sertan Yeşil, Ozan Tekinalp and M.J. Devaney. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, International Journal of Control, Measurement and Acta Astronautica.

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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