Mengüç Öner

1.0k citations
30 papers · 775 · h-index 13

Impact in

Papers in

Mengüç Öner

28 papers receiving 741 citations

Peers

Mengüç Öner
Comparison fields: 5 of 35
  • Signal Processing 207
  • Computer Networks and Communications 321
  • Artificial Intelligence 421
  • Aerospace Engineering 258
  • Electrical and Electronic Engineering 311
Replace Claudio R. C. M. da Silva with:
Claudio R. C. M. da Silva United States
Kaïs Hassan France
Wan-Ting Shih Taiwan
Charles L. Weber United States
Ali Görçin Türkiye
Hsiao-Chun Wu United States
Tarik Kazaz Netherlands
Fanggang Wang China
Jianping Zheng China
Xiao Yan China
Mengüç Öner relative to Claudio R. C. M. da Silva United States Claudio R. C. M. da Silva's profile →
Citations per field
00.5×1.5×2.5×
Claudio R. C. M. da Silva · 1×
Citations per year

Countries citing papers authored by Mengüç Öner

Since Specialization
Citations

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

Fields of papers citing papers by Mengüç Öner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Mengüç Öner, 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 Mengüç Öner Line = papers co-authored together Mengüç Öner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011108
2 201693
3 200792
4 200581
5 201371
6 201255
7 200552
8 200648
9 200535
10 201121
11 201519
12 201317
13 200513
14 201611
15 20098
16 20087
17 20206
18 20076
19 20136
20 20096

About Mengüç Öner

Mengüç Öner is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Signal Processing and Molecular Biology, having authored 30 papers that have together received 775 indexed citations. Recurring topics across this work include Wireless Signal Modulation Classification (10 papers), Blind Source Separation Techniques (9 papers), Wireless Communication Networks Research (8 papers), Advanced Wireless Communication Techniques (8 papers), Cognitive Radio Networks and Spectrum Sensing (7 papers), Radar Systems and Signal Processing (6 papers), Power Line Communications and Noise (6 papers) and Molecular Communication and Nanonetworks (5 papers). The work is most often cited by research in Signal Processing (207 citations), Computer Networks and Communications (321 citations), Artificial Intelligence (421 citations), Aerospace Engineering (258 citations) and Electrical and Electronic Engineering (311 citations). Mengüç Öner has collaborated with scholars based in Türkiye, Germany and Canada. Frequent co-authors include Friedrich K. Jondral, Octavia A. Dobre, Sreeraman Rajan, Robert Inkol, Hakan Ali Çırpan, Özgür Bayer, Umberto Spagnolini, Erchin Serpedin, Y. Bar-Ness and Esra Sorgüven. Their work appears in journals such as IEEE Communications Letters, IEEE Transactions on Communications, IEEE Wireless Communications Letters, Physical Communication and IEEE Communications Surveys & Tutorials.

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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