Mohamed Afify
- Signal Processing top 5%
- Speech and Audio Processing 22
- Music and Audio Processing 15
- Artificial Intelligence top 5%
- Speech Recognition and Synthesis 35
- Natural Language Processing Techniques 10
- Topic Modeling 5
- Speech and dialogue systems 3
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- Advanced Data Compression Techniques 5
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- Advanced Adaptive Filtering Techniques 3
- Co-authors
- Yuqing GaoOlivier SiohanRuhi SarikayaXiaodong CuiHong-Kwang Jeff KuoLaurent BesacierJohn MakhoulSherif Abdou
- Journals
- IEEE Transactions on Speech and Audio Processing (4 papers)IEEE Transactions on Audio Speech and Language Processing (3 papers)Computer Speech & Language (2 papers)
- Partner nations
- United StatesEgyptFrance
In The Last Decade
Mohamed Afify
45 papers receiving 345 citations
Peers
Comparison fields: 5 of 41
- Signal Processing 246
- Artificial Intelligence 365
- Computer Vision and Pattern Recognition 40
- Experimental and Cognitive Psychology 14
- Computational Mechanics 15
Countries citing papers authored by Mohamed Afify
This map shows the geographic impact of Mohamed Afify'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 Mohamed Afify with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohamed Afify more than expected).
Fields of papers citing papers by Mohamed Afify
This network shows the impact of papers produced by Mohamed Afify. 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 Mohamed Afify. The network helps show where Mohamed Afify may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mohamed Afify, 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 | 2021 | 10 | |
| 2 | 2020 | 0 | |
| 3 | 2018 | 1 | |
| 4 | 2013 | 1 | |
| 5 | 2012 | 2 | |
| 6 | 2009 | 4 | |
| 7 | 2008 | 19 | |
| 8 | 2007 | 13 | |
| 9 | 2006 | 46 | |
| 10 | 2005 | 10 | |
| 11 | The 2004 BBN/LIMSI 10xRT English Broadcast News Transcription System | 2004 | 10 |
| 12 | 2003 | 1 | |
| 13 | 2002 | 2 | |
| 14 | 2002 | 4 | |
| 15 | 2001 | 10 | |
| 16 | 2001 | 2 | |
| 17 | 2001 | 2 | |
| 18 | 2000 | 6 | |
| 19 | 1996 | 2 | |
| 20 | 1995 | 4 |
About Mohamed Afify
Mohamed Afify is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Human-Computer Interaction and Computational Mechanics, having authored 48 papers that have together received 402 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (35 papers), Speech and Audio Processing (22 papers), Music and Audio Processing (15 papers), Natural Language Processing Techniques (10 papers), Topic Modeling (5 papers), Advanced Data Compression Techniques (5 papers), Speech and dialogue systems (3 papers) and Advanced Adaptive Filtering Techniques (3 papers). The work is most often cited by research in Signal Processing (246 citations), Artificial Intelligence (365 citations), Computer Vision and Pattern Recognition (40 citations), Experimental and Cognitive Psychology (14 citations) and Computational Mechanics (15 citations). Mohamed Afify has collaborated with scholars based in United States, Egypt and France. Frequent co-authors include Yuqing Gao, Olivier Siohan, Ruhi Sarikaya, Xiaodong Cui, Hong-Kwang Jeff Kuo, Laurent Besacier, John Makhoul, Sherif Abdou, Jean‐Paul Haton and Long Nguyen. Their work appears in journals such as IEEE Transactions on Speech and Audio Processing, IEEE Transactions on Audio Speech and Language Processing, Computer Speech & Language, Speech Communication and Pediatric Nephrology.
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.