G.A. Mian
Impact in
- Signal Processing top 2%
- Digital Filter Design and Implementation
- Video Coding and Compression Technologies
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- Advanced Data Compression Techniques
- Image and Signal Denoising Methods
- Advanced Vision and Imaging
- Image Retrieval and Classification Techniques
Papers in
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- Digital Filter Design and Implementation 37
- Video Coding and Compression Technologies 19
- Speech and Audio Processing 9
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- Image and Signal Denoising Methods 36
- Advanced Data Compression Techniques 35
- Co-authors
- G.M. Cortelazzo (29 shared papers)Umberto Viaro (28 shared papers)A. Lepschy (28 shared papers)G. Calvagno (16 shared papers)R. Rinaldo (16 shared papers)Roberto Manduchi (3 shared papers)Piero Zamperoni (4 shared papers)Simone Milani (3 shared papers)
In The Last Decade
G.A. Mian
93 papers receiving 738 citations
Peers
Comparison fields: 5 of 75
- Signal Processing 396
- Computer Vision and Pattern Recognition 454
- Statistical and Nonlinear Physics 73
- Numerical Analysis 27
- Control and Systems Engineering 112
Countries citing papers authored by G.A. Mian
This map shows the geographic impact of G.A. Mian'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 G.A. Mian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G.A. Mian more than expected).
Fields of papers citing papers by G.A. Mian
This network shows the impact of papers produced by G.A. Mian. 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 G.A. Mian. The network helps show where G.A. Mian may publish in the future.
Co-authors
The 25 scholars most cited alongside G.A. Mian, 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 105 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 77 | |
| 2 | 2003 | 66 | |
| 3 | 1982 | 59 | |
| 4 | 1992 | 30 | |
| 5 | 2002 | 29 | |
| 6 | 2009 | 25 | |
| 7 | 1988 | 21 | |
| 8 | 2008 | 20 | |
| 9 | 2008 | 20 | |
| 10 | 1994 | 19 | |
| 11 | 1994 | 19 | |
| 12 | 1993 | 18 | |
| 13 | 2005 | 17 | |
| 14 | A rate control algorithm for the H.264 encoder | 2003 | 17 |
| 15 | 2002 | 16 | |
| 16 | 1995 | 14 | |
| 17 | 1997 | 14 | |
| 18 | 1988 | 12 | |
| 19 | 1996 | 12 | |
| 20 | 1987 | 11 |
About G.A. Mian
G.A. Mian is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Control and Systems Engineering, Computational Mechanics and Statistical and Nonlinear Physics, having authored 105 papers that have together received 816 indexed citations. Recurring topics across this work include Digital Filter Design and Implementation (37 papers), Image and Signal Denoising Methods (36 papers), Advanced Data Compression Techniques (35 papers), Video Coding and Compression Technologies (19 papers), Advanced Adaptive Filtering Techniques (12 papers), Model Reduction and Neural Networks (9 papers), Speech and Audio Processing (9 papers) and Numerical Methods and Algorithms (8 papers). The work is most often cited by research in Signal Processing (396 citations), Computer Vision and Pattern Recognition (454 citations), Statistical and Nonlinear Physics (73 citations), Numerical Analysis (27 citations) and Control and Systems Engineering (112 citations). G.A. Mian has collaborated with scholars based in Italy, Germany and Poland. Frequent co-authors include G.M. Cortelazzo, Umberto Viaro, A. Lepschy, G. Calvagno, R. Rinaldo, Roberto Manduchi, Piero Zamperoni, Simone Milani, Giovanni De Poli and Sergio Canazza. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Signal Processing, Journal of the Franklin Institute, Electronics Letters and Pattern Recognition.
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.