J. Makhoul
- Signal Processing top 0.05%
- Artificial Intelligence top 0.2%
- Computer Vision and Pattern Recognition top 0.5%
- Computational Mechanics top 0.5%
- Electrical and Electronic Engineering top 10%
- Co-authors
- Richard SchwartzM. BeroutiS. RoucosH. GishA. El-JaroudiR. ViswanathanJ. McDonoughTasos Anastasakos
- Topics
- Speech Recognition and Synthesis (53 papers)Speech and Audio Processing (52 papers)Advanced Data Compression Techniques (32 papers)
- Journals
- Proceedings of the National Academy of SciencesIEEE Transactions on Pattern Analysis and Machine IntelligenceProceedings of the IEEE
- Partner nations
- United StatesLebanonSwitzerland
In The Last Decade
J. Makhoul
112 papers receiving 6.6k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Signal Processing 4.7k
- Artificial Intelligence 3.6k
- Computer Vision and Pattern Recognition 2.2k
- Computational Mechanics 1.5k
- Electrical and Electronic Engineering 483
Countries citing papers authored by J. Makhoul
This map shows the geographic impact of J. Makhoul'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 J. Makhoul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Makhoul more than expected).
Fields of papers citing papers by J. Makhoul
This network shows the impact of papers produced by J. Makhoul. 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 J. Makhoul. The network helps show where J. Makhoul may publish in the future.
Co-authorship network of co-authors of J. Makhoul
This figure shows the co-authorship network connecting the top 25 collaborators of J. Makhoul. A scholar is included among the top collaborators of J. Makhoul 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 J. Makhoul. J. Makhoul is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 13 | |
| 4 | 52 | |
| 5 | 23 | |
| 6 | 9 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 15 | |
| 11 | 1 | |
| 12 | Enhancement of speech corrupted by acoustic noisebreakdown → | 736 |
| 13 | 17 | |
| 14 | 5 | |
| 15 | 46 | |
| 16 | 19 | |
| 17 | The BBN/HARC Spoken Language system | 1 |
| 18 | A Hybrid Neural Net System for State-of-the-Art Continuous Speech Recognition | 3 |
| 19 | 23 | |
| 20 | Linear prediction: A tutorial reviewbreakdown → | 2743 |
About J. Makhoul
J. Makhoul is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 124 papers that have together received 7.6k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (53 papers), Speech and Audio Processing (52 papers) and Advanced Data Compression Techniques (32 papers). The work is most often cited by research in Signal Processing (4.7k citations), Artificial Intelligence (3.6k citations) and Computer Vision and Pattern Recognition (2.2k citations). J. Makhoul has collaborated with scholars based in United States, Lebanon and Switzerland. Frequent co-authors include Richard Schwartz, M. Berouti, S. Roucos, H. Gish, A. El-Jaroudi, R. Viswanathan, J. McDonough, Tasos Anastasakos, Issam Bazzi and G. Zavaliagkos. Their work appears in journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Pattern Analysis and Machine Intelligence and Proceedings of the IEEE.
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.