Amr El-Desoky Mousa

959 total citations
25 papers, 588 citations indexed

About

Amr El-Desoky Mousa is a scholar working on Artificial Intelligence, Automotive Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Amr El-Desoky Mousa has authored 25 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 2 papers in Automotive Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Amr El-Desoky Mousa's work include Speech Recognition and Synthesis (18 papers), Natural Language Processing Techniques (17 papers) and Topic Modeling (10 papers). Amr El-Desoky Mousa is often cited by papers focused on Speech Recognition and Synthesis (18 papers), Natural Language Processing Techniques (17 papers) and Topic Modeling (10 papers). Amr El-Desoky Mousa collaborates with scholars based in Germany, United Kingdom and France. Amr El-Desoky Mousa's co-authors include Björn W. Schuller, Hermann Ney, Ralf Schlüter, Jouni Pohjalainen, Zixing Zhang, Wenyu Jin, Jürgen T. Geiger, Hagen Soltau, Lidia Mangu and Hong-Kwang Jeff Kuo and has published in prestigious journals such as PLoS ONE, SAE technical papers on CD-ROM/SAE technical paper series and Engineering Science and Technology an International Journal.

In The Last Decade

Amr El-Desoky Mousa

25 papers receiving 527 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Amr El-Desoky Mousa Germany 13 412 156 125 33 30 25 588
Mohammad Mehdi Homayounpour Iran 12 353 0.9× 271 1.7× 73 0.6× 34 1.0× 19 0.6× 79 532
Iván Meza Mexico 13 382 0.9× 180 1.2× 73 0.6× 68 2.1× 32 1.1× 53 638
Ian Lane United States 17 1.0k 2.5× 205 1.3× 200 1.6× 20 0.6× 23 0.8× 81 1.2k
Pravin Yannawar India 11 206 0.5× 324 2.1× 179 1.4× 19 0.6× 19 0.6× 35 575
Björn Hoffmeister Germany 18 715 1.7× 489 3.1× 82 0.7× 17 0.5× 24 0.8× 38 850
Yi Ren China 15 435 1.1× 425 2.7× 232 1.9× 24 0.7× 19 0.6× 40 724
P. Nguyen United States 11 826 2.0× 665 4.3× 177 1.4× 34 1.0× 26 0.9× 18 1.1k
George Kokkinakis Greece 11 562 1.4× 280 1.8× 90 0.7× 29 0.9× 17 0.6× 52 791
Andros Tjandra Japan 16 712 1.7× 387 2.5× 132 1.1× 28 0.8× 7 0.2× 39 923
Ricardo de Córdoba Spain 15 493 1.2× 233 1.5× 108 0.9× 25 0.8× 26 0.9× 88 709

Countries citing papers authored by Amr El-Desoky Mousa

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Mousa, Amr El-Desoky. (2023). Extended-deep Q-network: A functional reinforcement learning-based energy management strategy for plug-in hybrid electric vehicles. Engineering Science and Technology an International Journal. 43. 101434–101434. 10 indexed citations
2.
Mousa, Amr El-Desoky, et al.. (2022). Advanced Energy Management Strategies for Plug-In Hybrid Electric Vehicles via Deep Reinforcement Learning. SAE technical papers on CD-ROM/SAE technical paper series. 1. 2 indexed citations
3.
Zhang, Zixing, Jürgen T. Geiger, Jouni Pohjalainen, et al.. (2018). Deep Learning for Environmentally Robust Speech Recognition. ACM Transactions on Intelligent Systems and Technology. 9(5). 1–28. 189 indexed citations
4.
5.
Hantke, Simone, Felix Weninger, Fabien Ringeval, et al.. (2016). I Hear You Eat and Speak: Automatic Recognition of Eating Condition and Food Type, Use-Cases, and Impact on ASR Performance. PLoS ONE. 11(5). e0154486–e0154486. 28 indexed citations
6.
Schuller, Björn W., et al.. (2015). Sentiment analysis and opinion mining: on optimal parameters and performances. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 5(5). 255–263. 30 indexed citations
7.
Mousa, Amr El-Desoky, et al.. (2015). Improved strategies for a zero oov rate LVCSR system. 5048–5052. 5 indexed citations
8.
Mousa, Amr El-Desoky & Hermann Ney. (2014). Sub-word based language modeling of morphologically rich languages for LVCSR. 1 indexed citations
9.
Doetsch, Patrick, et al.. (2014). The RWTH Large Vocabulary Arabic Handwriting Recognition System. 111–115. 22 indexed citations
10.
Mousa, Amr El-Desoky, et al.. (2013). Feature-rich sub-lexical language models using a maximum entropy approach for German LVCSR. RWTH Publications (RWTH Aachen). 3404–3408. 3 indexed citations
11.
Mousa, Amr El-Desoky, Hong-Kwang Jeff Kuo, Lidia Mangu, & Hagen Soltau. (2013). Morpheme-based feature-rich language models using Deep Neural Networks for LVCSR of Egyptian Arabic. 8435–8439. 30 indexed citations
12.
Mousa, Amr El-Desoky, et al.. (2012). Investigation of maximum entropy hybrid language models for open vocabulary German and Polish LVCSR. RWTH Publications (RWTH Aachen). 1071–1074. 5 indexed citations
13.
Mousa, Amr El-Desoky, et al.. (2012). Morpheme level feature-based language models for German LVCSR. RWTH Publications (RWTH Aachen). 170–173. 9 indexed citations
14.
Mousa, Amr El-Desoky, Ralf Schlüter, & Hermann Ney. (2012). Investigations on the use of morpheme level features in Language Models for Arabic LVCSR. RWTH Publications (RWTH Aachen). 1. 5021–5024. 11 indexed citations
15.
Sundermeyer, Martin, Simon Wiesler, Christian Plahl, et al.. (2011). The RWTH 2010 Quaero ASR evaluation system for English, French, and German. 36 indexed citations
16.
Mousa, Amr El-Desoky, et al.. (2011). Morpheme based factored language models for German LVCSR. RWTH Publications (RWTH Aachen). 1445–1448. 9 indexed citations
17.
Mousa, Amr El-Desoky, et al.. (2011). Hybrid language models using mixed types of sub-lexical units for open vocabulary German LVCSR. RWTH Publications (RWTH Aachen). 1441–1444. 25 indexed citations
18.
Mousa, Amr El-Desoky, et al.. (2011). Using morpheme and syllable based sub-words for polish LVCSR. 4680–4683. 17 indexed citations
19.
Mousa, Amr El-Desoky, et al.. (2011). Compound word recombination for German LVCSR. 1449–1452. 7 indexed citations
20.
Mousa, Amr El-Desoky, et al.. (2010). Sub-lexical language models for German LVCSR. 171–176. 21 indexed citations

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.

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