Erçan E. Kuruoğlu
Impact in
- Signal Processing top 2%
- Blind Source Separation Techniques
- Media Technology top 1%
- Advanced Image Fusion Techniques
Papers in
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- Bayesian Methods and Mixture Models 14
- Target Tracking and Data Fusion in Sensor Networks 14
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- Blind Source Separation Techniques 30
- Speech and Audio Processing 12
- Co-authors
- Josiane Zerubia (5 shared papers)Alin Achim (6 shared papers)William J. Fitzgerald (6 shared papers)Oktay Karakuş (11 shared papers)P. J. Rayner (6 shared papers)D. Salas-González (7 shared papers)Diego P. Ruíz (7 shared papers)D. Herranz (9 shared papers)
In The Last Decade
Erçan E. Kuruoğlu
130 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 108
- Signal Processing 387
- Media Technology 298
- Computer Vision and Pattern Recognition 552
- Artificial Intelligence 485
- Statistics and Probability 105
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 149 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 213 | |
| 2 | 2006 | 144 | |
| 3 | 2004 | 124 | |
| 4 | 2017 | 110 | |
| 5 | 2001 | 102 | |
| 6 | 1998 | 101 | |
| 7 | 2019 | 49 | |
| 8 | 2002 | 46 | |
| 9 | 2011 | 42 | |
| 10 | 1998 | 40 | |
| 11 | 2011 | 37 | |
| 12 | 2021 | 36 | |
| 13 | 2008 | 33 | |
| 14 | 2009 | 33 | |
| 15 | 2005 | 31 | |
| 16 | 2015 | 30 | |
| 17 | 2020 | 26 | |
| 18 | A multi-sensor network for the protection of cultural heritage | 2011 | 24 |
| 19 | 2002 | 22 | |
| 20 | 2003 | 21 |
About Erçan E. Kuruoğlu
Erçan E. Kuruoğlu is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Analytical Chemistry, having authored 149 papers that have together received 1.9k indexed citations. Recurring topics across this work include Blind Source Separation Techniques (30 papers), Spectroscopy and Chemometric Analyses (18 papers), Image and Signal Denoising Methods (18 papers), Bayesian Methods and Mixture Models (14 papers), Target Tracking and Data Fusion in Sensor Networks (14 papers), Advanced Adaptive Filtering Techniques (12 papers), Speech and Audio Processing (12 papers) and Fault Detection and Control Systems (9 papers). The work is most often cited by research in Signal Processing (387 citations), Media Technology (298 citations), Computer Vision and Pattern Recognition (552 citations), Artificial Intelligence (485 citations) and Statistics and Probability (105 citations). Erçan E. Kuruoğlu has collaborated with scholars based in Italy, China and Türkiye. Frequent co-authors include Josiane Zerubia, Alin Achim, William J. Fitzgerald, Oktay Karakuş, P. J. Rayner, D. Salas-González, Diego P. Ruíz, D. Herranz, Emanuele Salerno and Anna Tonazzini. Their work appears in journals such as Signal Processing, Digital Signal Processing, IEEE Signal Processing Letters, IEEE Transactions on Image Processing 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.