D. Androutsos
Impact in
-
- Image and Signal Denoising Methods
- Image Enhancement Techniques
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Medical Image Segmentation Techniques
- Advanced Image Processing Techniques
- Media Technology top 2%
- Advanced Image Fusion Techniques
Papers in
-
- Image and Signal Denoising Methods 16
- Image Retrieval and Classification Techniques 11
- Advanced Image and Video Retrieval Techniques 10
- Advanced Data Compression Techniques 9
-
- Blind Source Separation Techniques 7
- Co-authors
- A.N. VenetsanopoulosKonstantinos N. PlataniotisXiao–Ping ZhangAlagan AnpalaganNaimul KhanMuhammad NaeemPanos TrahaniasZeeshan Ahmad
In The Last Decade
D. Androutsos
40 papers receiving 712 citations
Peers
Comparison fields: 5 of 89
- Computer Vision and Pattern Recognition 560
- Media Technology 225
- Signal Processing 140
- Artificial Intelligence 100
- Computer Networks and Communications 59
Countries citing papers authored by D. Androutsos
This map shows the geographic impact of D. Androutsos'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 D. Androutsos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Androutsos more than expected).
Fields of papers citing papers by D. Androutsos
This network shows the impact of papers produced by D. Androutsos. 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 D. Androutsos. The network helps show where D. Androutsos may publish in the future.
Co-authorship network
The 20 scholars most cited alongside D. Androutsos, 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 | 2 | |
| 2 | 2024 | 22 | |
| 3 | 2010 | 6 | |
| 4 | 2009 | 26 | |
| 5 | 2006 | 1 | |
| 6 | 2006 | 6 | |
| 7 | 2006 | 5 | |
| 8 | 2002 | 1 | |
| 9 | 2002 | 0 | |
| 10 | 2002 | 1 | |
| 11 | 1999 | 88 | |
| 12 | 1998 | 51 | |
| 13 | 1997 | 12 | |
| 14 | 1997 | 70 | |
| 15 | 1997 | 5 | |
| 16 | 1997 | 44 | |
| 17 | 1996 | 4 | |
| 18 | 1996 | 35 | |
| 19 | 1996 | 28 | |
| 20 | 1995 | 35 |
About D. Androutsos
D. Androutsos is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Media Technology, Computer Networks and Communications and Computer Graphics and Computer-Aided Design, having authored 43 papers that have together received 767 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (16 papers), Image Retrieval and Classification Techniques (11 papers), Advanced Image and Video Retrieval Techniques (10 papers), Advanced Data Compression Techniques (9 papers), Blind Source Separation Techniques (7 papers), Remote-Sensing Image Classification (6 papers), Advanced MIMO Systems Optimization (5 papers) and Advanced Image Fusion Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (560 citations), Media Technology (225 citations), Signal Processing (140 citations), Artificial Intelligence (100 citations) and Computer Networks and Communications (59 citations). D. Androutsos has collaborated with scholars based in Canada, Greece and China. Frequent co-authors include A.N. Venetsanopoulos, Konstantinos N. Plataniotis, A.N. Venetsanopoulos, Xiao–Ping Zhang, Alagan Anpalagan, Naimul Khan, Muhammad Naeem, Panos Trahanias, Zeeshan Ahmad and Nabila Abraham. Their work appears in journals such as Electronics Letters, IEEE Signal Processing Magazine, Signal Processing Image Communication, Signal Processing and Scientific Reports.
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.