Murat Üney
Impact in
- Artificial Intelligence top 5%
- Target Tracking and Data Fusion in Sensor Networks
- Gaussian Processes and Bayesian Inference
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- Distributed Sensor Networks and Detection Algorithms
Papers in
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- Target Tracking and Data Fusion in Sensor Networks 30
- Bayesian Methods and Mixture Models 3
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- Distributed Sensor Networks and Detection Algorithms 18
- Co-authors
- Daniel E. ClarkSimon JulierB. MulgrewLeonardo M. MillefioriPaolo BracaMüjdat ÇetinEmmanuel DelandeJérémie Houssineau
- Journals
- IEEE Transactions on Signal Processing (3 papers)IEEE Journal of Selected Topics in Signal Processing (1 paper)Digital Signal Processing (1 paper)Signal Processing (1 paper)IET Radar Sonar & Navigation (1 paper)
- Partner nations
- United KingdomTürkiyeBelgium
In The Last Decade
Murat Üney
32 papers receiving 405 citations
Peers
Comparison fields: 5 of 42
- Artificial Intelligence 346
- Computer Networks and Communications 205
- Ocean Engineering 64
- Aerospace Engineering 97
- Oceanography 28
Countries citing papers authored by Murat Üney
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 0 | |
| 6 | 2022 | 0 | |
| 7 | 2020 | 5 | |
| 8 | 2020 | 6 | |
| 9 | 2019 | 7 | |
| 10 | 2019 | 3 | |
| 11 | 2018 | 1 | |
| 12 | 2018 | 12 | |
| 13 | Distributed localisation of sensors with partially overlapping field-of-views in fusion networks | 2016 | 8 |
| 14 | 2014 | 1 | |
| 15 | 2014 | 4 | |
| 16 | 2014 | 34 | |
| 17 | 2012 | 2 | |
| 18 | Information measures in distributed multitarget tracking | 2011 | 22 |
| 19 | 2010 | 24 | |
| 20 | 2007 | 12 |
About Murat Üney
Murat Üney is a scholar working on Artificial Intelligence, Computer Networks and Communications, Oceanography, Ocean Engineering and Statistics and Probability, 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), Underwater Acoustics Research (5 papers), Radar Systems and Signal Processing (5 papers), Bayesian Methods and Mixture Models (3 papers), Statistical Methods and Inference (3 papers) and Maritime Navigation and Safety (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, Emmanuel Delande, Jérémie Houssineau, 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.