Issam Bazzi
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Media Technology top 5%
- Human-Computer Interaction top 10%
- Co-authors
- James GlassRichard SchwartzJ. MakhoulJohn MakhoulPrem NatarajanAlex AceroTimothy J. HazenLi Deng
- Topics
- Speech Recognition and Synthesis (12 papers)Handwritten Text Recognition Techniques (7 papers)Speech and dialogue systems (5 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligencePattern RecognitionIEEE Transactions on Audio Speech and Language Processing
- Partner nations
- United States
In The Last Decade
Issam Bazzi
17 papers receiving 527 citations
Peers
Comparison fields: 5 of 42
- Artificial Intelligence 495
- Computer Vision and Pattern Recognition 290
- Signal Processing 163
- Media Technology 72
- Human-Computer Interaction 28
Countries citing papers authored by Issam Bazzi
This map shows the geographic impact of Issam Bazzi'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 Issam Bazzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Issam Bazzi more than expected).
Fields of papers citing papers by Issam Bazzi
This network shows the impact of papers produced by Issam Bazzi. 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 Issam Bazzi. The network helps show where Issam Bazzi may publish in the future.
Co-authorship network of co-authors of Issam Bazzi
This figure shows the co-authorship network connecting the top 25 collaborators of Issam Bazzi. A scholar is included among the top collaborators of Issam Bazzi 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 Issam Bazzi. Issam Bazzi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 19 | |
| 3 | 12 | |
| 4 | Modelling out-of-vocabulary words for robust speech recognition | 132 |
| 5 | 7 | |
| 6 | 13 | |
| 7 | 32 | |
| 8 | 26 | |
| 9 | 40 | |
| 10 | 21 | |
| 11 | 51 | |
| 12 | 9 | |
| 13 | 30 | |
| 14 | 15 | |
| 15 | 14 | |
| 16 | 153 | |
| 17 | 33 |
About Issam Bazzi
Issam Bazzi is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 634 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (12 papers), Handwritten Text Recognition Techniques (7 papers) and Speech and dialogue systems (5 papers). The work is most often cited by research in Artificial Intelligence (495 citations), Signal Processing (163 citations) and Computer Vision and Pattern Recognition (290 citations). Issam Bazzi has collaborated with scholars based in United States. Frequent co-authors include James Glass, Richard Schwartz, J. Makhoul, John Makhoul, Prem Natarajan, Alex Acero, Timothy J. Hazen, Li Deng, Li Deng and András Kornai. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and IEEE Transactions on Audio Speech and Language Processing.
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.