Murat Üney

623 citations
36 papers · 414 · h-index 9

Impact in

Papers in

Murat Üney

32 papers receiving 405 citations

Peers

Murat Üney
Comparison fields: 5 of 42
  • Artificial Intelligence 346
  • Computer Networks and Communications 205
  • Ocean Engineering 64
  • Aerospace Engineering 97
  • Oceanography 28
Replace Jérémie Houssineau with:
Jérémie Houssineau United Kingdom
A. Marrs United Kingdom
Felix Govaers Germany
H. Driessen Netherlands
Ozgur Erdinc United States
Guchong Li China
Feng Lian China
Hans Driessen Netherlands
Martin Blanchette Canada
Guangle Jia China
Murat Üney relative to Jérémie Houssineau United Kingdom Jérémie Houssineau's profile →
Citations per field
00.5×1.5×2.0×
Jérémie Houssineau · 1×
Citations per year

Countries citing papers authored by Murat Üney

Since Specialization
Citations

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

Fields of papers citing papers by Murat Üney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Murat Üney, 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 Üney Line = papers co-authored together Murat Üney links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013167
2 201434
3 201930
4 201530
5 201024
6
Information measures in distributed multitarget tracking
201122
7 200712
8 201812
9 20239
10
Distributed localisation of sensors with partially overlapping field-of-views in fusion networks
20168
11 20197
12 20206
13 20156
14 20146
15 20205
16 20144
17 20193
18 20183
19 20113
20 20193

About Murat Üney

Murat Üney is a scholar working on Artificial Intelligence, Computer Networks and Communications, Ocean Engineering, Electrical and Electronic Engineering and Oceanography, having authored 36 papers that have together received 414 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (30 papers), Distributed Sensor Networks and Detection Algorithms (18 papers), Indoor and Outdoor Localization Technologies (6 papers), Radar Systems and Signal Processing (5 papers), Underwater Acoustics Research (5 papers), Statistical Methods and Inference (3 papers), Maritime Navigation and Safety (3 papers) and Underwater Vehicles and Communication Systems (3 papers). The work is most often cited by research in Artificial Intelligence (346 citations), Computer Networks and Communications (205 citations), Ocean Engineering (64 citations), Aerospace Engineering (97 citations) and Oceanography (28 citations). Murat Üney has collaborated with scholars based in United Kingdom, Türkiye and Belgium. Frequent co-authors include Daniel E. Clark, Simon Julier, B. Mulgrew, Leonardo M. Millefiori, Paolo Braca, Müjdat Çetin, Jérémie Houssineau, Emmanuel Delande, Branko Ristić and Kimin Kim. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Journal of Selected Topics in Signal Processing, Digital Signal Processing, Signal Processing and IET Radar Sonar & Navigation.

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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