Amr El-Desoky Mousa
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Control and Systems Engineering
- Co-authors
- Björn W. SchullerHermann NeyRalf SchlüterWenyu JinZixing ZhangJürgen T. GeigerJouni PohjalainenLidia Mangu
- Topics
- Speech Recognition and Synthesis (18 papers)Natural Language Processing Techniques (17 papers)Topic Modeling (10 papers)
- Journals
- PLoS ONESAE technical papers on CD-ROM/SAE technical paper seriesEngineering Science and Technology an International Journal
- Partner nations
- GermanyUnited KingdomEgypt
In The Last Decade
Amr El-Desoky Mousa
25 papers receiving 527 citations
Peers
Comparison fields: 5 of 85
- Artificial Intelligence 412
- Signal Processing 156
- Computer Vision and Pattern Recognition 125
- Electrical and Electronic Engineering 33
- Control and Systems Engineering 30
Countries citing papers authored by Amr El-Desoky Mousa
This map shows the geographic impact of Amr El-Desoky Mousa'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 Amr El-Desoky Mousa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amr El-Desoky Mousa more than expected).
Fields of papers citing papers by Amr El-Desoky Mousa
This network shows the impact of papers produced by Amr El-Desoky Mousa. 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 Amr El-Desoky Mousa. The network helps show where Amr El-Desoky Mousa may publish in the future.
Co-authorship network of co-authors of Amr El-Desoky Mousa
This figure shows the co-authorship network connecting the top 25 collaborators of Amr El-Desoky Mousa. A scholar is included among the top collaborators of Amr El-Desoky Mousa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Amr El-Desoky Mousa. Amr El-Desoky Mousa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 2 | |
| 3 | 7 | |
| 4 | 189 | |
| 5 | 74 | |
| 6 | 28 | |
| 7 | 14 | |
| 8 | 30 | |
| 9 | 5 | |
| 10 | Sub-word based language modeling of morphologically rich languages for LVCSR | 1 |
| 11 | 3 | |
| 12 | 14 | |
| 13 | 2 | |
| 14 | 5 | |
| 15 | 11 | |
| 16 | 9 | |
| 17 | 36 | |
| 18 | 25 | |
| 19 | 9 | |
| 20 | 21 |
About Amr El-Desoky Mousa
Amr El-Desoky Mousa is a scholar working on Artificial Intelligence, Human-Computer Interaction and Geology, having authored 25 papers that have together received 588 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (18 papers), Natural Language Processing Techniques (17 papers) and Topic Modeling (10 papers). The work is most often cited by research in Signal Processing (156 citations), Artificial Intelligence (412 citations) and Computer Vision and Pattern Recognition (125 citations). Amr El-Desoky Mousa has collaborated with scholars based in Germany, United Kingdom and Egypt. Frequent co-authors include Björn W. Schuller, Hermann Ney, Ralf Schlüter, Wenyu Jin, Zixing Zhang, Jürgen T. Geiger, Jouni Pohjalainen, Lidia Mangu, Hong-Kwang Jeff Kuo and Hagen Soltau. Their work appears in journals such as PLoS ONE, SAE technical papers on CD-ROM/SAE technical paper series and Engineering Science and Technology an International Journal.
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.