Ismail Shahin

2.9k citations
78 papers · 1.8k indexed · 1 hit paper · h-index 20

Ismail Shahin

72 papers receiving 1.7k citations

Hit Papers

Speech Recognition Using Deep Neural Networks: A Systemat...7352019202620212023200400600

Peers

Ismail Shahin
Comparison fields: 5 of 144
  • Signal Processing 748
  • Artificial Intelligence 1.1k
  • Experimental and Cognitive Psychology 302
  • Health Informatics 19
  • Computer Vision and Pattern Recognition 246
Replace Ming Dong with:
Ming Dong United States
Sriram Ganapathy India
C. Neti United States
Kai Yu China
V. Ramalingam India
Andrew Rosenberg United States
Gabriel Synnaeve France
Rahul Gupta United States
Mohammed Zakariah Saudi Arabia
Raymond Veldhuis Netherlands
Ismail Shahin relative to Ming Dong United States Ming Dong's profile →
Citations per field
00.5×1.7×
Ming Dong · 1×
Citations per year

Countries citing papers authored by Ismail Shahin

Since Specialization
Citations

This map shows the geographic impact of Ismail Shahin'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 Ismail Shahin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ismail Shahin more than expected).

Fields of papers citing papers by Ismail Shahin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ismail Shahin. 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 Ismail Shahin. The network helps show where Ismail Shahin may publish in the future.

Co-authorship network

The 24 scholars most cited alongside Ismail Shahin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ismail Shahin Line = papers co-authored together Ismail Shahin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20241
4 20241
5 202314
6 20238
7 20230
8 202334
9 20220
10 20228
11 202227
12 20217
13 20218
14
Neurofeedback Interventions for Speech and Language Impairment: A systematic review
20212
15 20206
16 202031
17 202040
18 202099
19 202029
20 201417

About Ismail Shahin

Ismail Shahin is a scholar working on Signal Processing, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 78 papers that have together received 1.8k indexed citations. Recurring topics across this work include Speech and Audio Processing (55 papers), Speech Recognition and Synthesis (49 papers), Music and Audio Processing (32 papers), Emotion and Mood Recognition (21 papers), Face and Expression Recognition (5 papers), Sentiment Analysis and Opinion Mining (4 papers), Face recognition and analysis (4 papers) and Advanced Data Compression Techniques (4 papers). The work is most often cited by research in Signal Processing (748 citations), Artificial Intelligence (1.1k citations) and Experimental and Cognitive Psychology (302 citations). Ismail Shahin has collaborated with scholars based in United Arab Emirates, Saudi Arabia and United Kingdom. Frequent co-authors include Ali Bou Nassif, Mohammad Azzeh, Khaled Shaalan, Ashraf Elnagar, Naoufel Werghi, Said A. Salloum, Kemal Polat, Adi Alhudhaif, Youssef Iraqi and Imad Afyouni. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Neurocomputing.

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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