Ersen Ekrem

1.5k citations
38 papers · 888 · h-index 14

Impact in

Papers in

Ersen Ekrem

37 papers receiving 859 citations

Peers

Ersen Ekrem
Comparison fields: 5 of 30
  • Computer Networks and Communications 609
  • Electrical and Electronic Engineering 856
  • Computer Vision and Pattern Recognition 139
  • Artificial Intelligence 131
  • Computational Theory and Mathematics 45
Replace Praveen Kumar Gopala with:
Praveen Kumar Gopala United States
Aslan Tchamkerten France
Brian M. Kurkoski Japan
Andrew Thangaraj India
A. Robert Calderbank United States
S. Chennakeshu United States
Hiroshi Satō Japan
Emmanuel Boutillon France
Robert A. Scholtz United States
Saurabha Tavildar United States
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Citations per field
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Citations per year

Countries citing papers authored by Ersen Ekrem

Since Specialization
Citations

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

Fields of papers citing papers by Ersen Ekrem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013146
2 2011138
3 201099
4 200874
5 200966
6 201234
7 201532
8 200831
9 201230
10 200828
11 201016
12 201016
13 201015
14 200814
15 201413
16 201312
17 200912
18 201212
19 201212
20 201311

About Ersen Ekrem

Ersen Ekrem is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, Molecular Biology and Artificial Intelligence, having authored 38 papers that have together received 888 indexed citations. Recurring topics across this work include Wireless Communication Security Techniques (34 papers), Cooperative Communication and Network Coding (20 papers), Advanced MIMO Systems Optimization (11 papers), Chaos-based Image/Signal Encryption (8 papers), Energy Harvesting in Wireless Networks (7 papers), Ultra-Wideband Communications Technology (4 papers), Advanced Wireless Communication Technologies (4 papers) and Wireless Signal Modulation Classification (3 papers). The work is most often cited by research in Computer Networks and Communications (609 citations), Electrical and Electronic Engineering (856 citations), Computer Vision and Pattern Recognition (139 citations), Artificial Intelligence (131 citations) and Computational Theory and Mathematics (45 citations). Ersen Ekrem has collaborated with scholars based in United States and Türkiye. Frequent co-authors include Şennur Ulukuş, Ender Tekin, Raef Bassily, Matthieu R. Bloch, Xiang He, Jianwei Xie, Aylin Yener, Omur Ozel, H. Deliç and Mutlu Koca. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Wireless Communications, Journal of Communications and Networks, EURASIP Journal on Wireless Communications and Networking and IEEE Signal Processing 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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