Erçan E. Kuruoğlu
Impact in
- Signal Processing top 2%
- Blind Source Separation Techniques
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- Image and Signal Denoising Methods
Papers in
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- Blind Source Separation Techniques 25
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- Image and Signal Denoising Methods 21
- Co-authors
- Josiane B. Zerubia (5 shared papers)Alin Achim (6 shared papers)Oktay Karakuş (11 shared papers)William J. Fitzgerald (6 shared papers)Diego Pablo Ruiz (6 shared papers)Diego Salas-Gonzalez (6 shared papers)D. Herranz (8 shared papers)Emanuele Salerno (9 shared papers)
In The Last Decade
Erçan E. Kuruoğlu
141 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 83
- Signal Processing 236
- Computer Vision and Pattern Recognition 545
- Media Technology 112
- Statistics and Probability 151
- Aerospace Engineering 305
Countries citing papers authored by Erçan E. Kuruoğlu
This map shows the geographic impact of Erçan E. Kuruoğlu'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 Erçan E. Kuruoğlu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erçan E. Kuruoğlu more than expected).
Fields of papers citing papers by Erçan E. Kuruoğlu
This network shows the impact of papers produced by Erçan E. Kuruoğlu. 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 Erçan E. Kuruoğlu. The network helps show where Erçan E. Kuruoğlu may publish in the future.
Co-authors
The 25 scholars most cited alongside Erçan E. Kuruoğlu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 163 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 227 | |
| 2 | 2006 | 158 | |
| 3 | 2004 | 127 | |
| 4 | 2001 | 116 | |
| 5 | 2017 | 115 | |
| 6 | 1998 | 101 | |
| 7 | 2019 | 54 | |
| 8 | 2002 | 47 | |
| 9 | 1998 | 45 | |
| 10 | 2011 | 44 | |
| 11 | 2021 | 43 | |
| 12 | 2005 | 42 | |
| 13 | 2008 | 39 | |
| 14 | 2011 | 39 | |
| 15 | 2015 | 36 | |
| 16 | 2009 | 35 | |
| 17 | 2020 | 31 | |
| 18 | 2003 | 27 | |
| 19 | A Multi-Sensor Network For The Protection Of Cultural Heritage | 2011 | 27 |
| 20 | 2020 | 26 |
About Erçan E. Kuruoğlu
Erçan E. Kuruoğlu is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Statistics and Probability and Computational Mechanics, having authored 163 papers that have together received 2.2k indexed citations. Recurring topics across this work include Blind Source Separation Techniques (25 papers), Image and Signal Denoising Methods (21 papers), Advanced Adaptive Filtering Techniques (17 papers), Markov Chains and Monte Carlo Methods (11 papers), Advanced Graph Neural Networks (10 papers), Control Systems and Identification (10 papers), Target Tracking and Data Fusion in Sensor Networks (8 papers) and Bayesian Methods and Mixture Models (7 papers). The work is most often cited by research in Signal Processing (236 citations), Computer Vision and Pattern Recognition (545 citations), Media Technology (112 citations), Statistics and Probability (151 citations) and Aerospace Engineering (305 citations). Erçan E. Kuruoğlu has collaborated with scholars based in Italy, China and Türkiye. Frequent co-authors include Josiane B. Zerubia, Alin Achim, Oktay Karakuş, William J. Fitzgerald, Diego Pablo Ruiz, Diego Salas-Gonzalez, D. Herranz, Emanuele Salerno, Koray Kayabol and Anna Tonazzini. Their work appears in journals such as Signal Processing, Digital Signal Processing, IEEE Transactions on Image Processing, IEEE Signal Processing Letters and IEEE Journal of Selected Topics in Signal Processing.
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.