Özgür Oyman

38 papers receiving 1.5k citations

Hit Papers

Capacity scaling laws in MIMO relay networks20062026201220192006100200300400

Peers

Özgür Oyman
Comparison fields: 5 of 40
  • Electrical and Electronic Engineering 1.3k
  • Computer Networks and Communications 1.3k
  • Computer Vision and Pattern Recognition 325
  • Signal Processing 197
  • Sociology and Political Science 68
Replace Sai Shankar N. with:
Sai Shankar N. United States
Xiufeng Xie United States
Cornelius Hellge Germany
Eric Setton United States
Roberto Viola Spain
J Apostolopoulos United States
Xiaoxin Qiu United States
Uwe Horn Germany
Ya-Qin Zhang China
Viktória Fodor Sweden
Özgür Oyman relative to Sai Shankar N. United States Sai Shankar N.'s profile →
Citations per field
00.5×6.3×
Sai Shankar N. · 1×
Citations per year

Countries citing papers authored by Özgür Oyman

Since Specialization
Citations

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

Fields of papers citing papers by Özgür Oyman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Özgür Oyman

This figure shows the co-authorship network connecting the top 25 collaborators of Özgür Oyman. A scholar is included among the top collaborators of Özgür Oyman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Özgür Oyman. Özgür Oyman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 5
3 30
4 7
5 11
6 13
7 4
8 4
9 2
10 63
11 76
12 0
13 3
14 3
15 6
16 7
17 35
18 88
19
Capacity scaling laws in MIMO relay networksbreakdown →
452
20 37

About Özgür Oyman

Özgür Oyman is a scholar working on Signal Processing, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 39 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (18 papers), Cooperative Communication and Network Coding (18 papers) and Advanced Wireless Network Optimization (17 papers). The work is most often cited by research in Computer Networks and Communications (1.3k citations), Electrical and Electronic Engineering (1.3k citations) and Signal Processing (197 citations). Özgür Oyman has collaborated with scholars based in United States, Switzerland and Israel. Frequent co-authors include A. Paulraj, Helmut Bölcskei, R.U. Nabar, Sarabjot Singh, Sumeet Sandhu, J. Nicholas Laneman, J.R. Foerster, Vishwanath Ramamurthi, Seong-Choon Lee and Apostolos Papathanassiou. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Journal on Selected Areas in Communications and IEEE Communications Magazine.

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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