Erçan E. Kuruoğlu
Impact in
- Signal Processing top 2%
- Blind Source Separation Techniques
- Speech and Audio Processing
- Media Technology top 1%
- Advanced Image Fusion Techniques
Papers in
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- Target Tracking and Data Fusion in Sensor Networks 15
- Bayesian Methods and Mixture Models 14
- Neural Networks and Applications 10
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- Blind Source Separation Techniques 39
- Speech and Audio Processing 14
- 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)Diego P. Ruíz (6 shared papers)D. Salas‐Gonzalez (6 shared papers)Emanuele Salerno (10 shared papers)
In The Last Decade
Erçan E. Kuruoğlu
144 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 111
- Signal Processing 454
- Media Technology 320
- Computer Vision and Pattern Recognition 610
- Artificial Intelligence 530
- Analytical Chemistry 146
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 164 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 222 | |
| 2 | 2006 | 151 | |
| 3 | 2004 | 130 | |
| 4 | 2017 | 114 | |
| 5 | 2001 | 110 | |
| 6 | 1998 | 103 | |
| 7 | 2019 | 51 | |
| 8 | 2002 | 48 | |
| 9 | 2011 | 46 | |
| 10 | 1998 | 44 | |
| 11 | 2021 | 39 | |
| 12 | 2011 | 38 | |
| 13 | 2009 | 36 | |
| 14 | 2005 | 36 | |
| 15 | 2008 | 36 | |
| 16 | 2015 | 32 | |
| 17 | 2020 | 29 | |
| 18 | 2003 | 26 | |
| 19 | A multi-sensor network for the protection of cultural heritage | 2011 | 26 |
| 20 | 2022 | 24 |
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 164 papers that have together received 2.1k indexed citations. Recurring topics across this work include Blind Source Separation Techniques (39 papers), Spectroscopy and Chemometric Analyses (21 papers), Image and Signal Denoising Methods (21 papers), Target Tracking and Data Fusion in Sensor Networks (15 papers), Bayesian Methods and Mixture Models (14 papers), Speech and Audio Processing (14 papers), Advanced Adaptive Filtering Techniques (12 papers) and Neural Networks and Applications (10 papers). The work is most often cited by research in Signal Processing (454 citations), Media Technology (320 citations), Computer Vision and Pattern Recognition (610 citations), Artificial Intelligence (530 citations) and Analytical Chemistry (146 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, Diego P. Ruíz, D. Salas‐Gonzalez, Emanuele Salerno, D. Herranz 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.