Lidia Mangu
- Artificial Intelligence top 0.5%
- Signal Processing top 0.5%
- Computer Vision and Pattern Recognition top 5%
- Experimental and Cognitive Psychology
- Information Systems top 10%
- Co-authors
- Eric BrillAndreas StolckeBrian KingsburyGeorge SaonHagen SoltauDaniel PoveyGeoffrey ZweigHong-Kwang Jeff Kuo
- Topics
- Speech Recognition and Synthesis (49 papers)Natural Language Processing Techniques (34 papers)Speech and Audio Processing (19 papers)
- Journals
- IEEE Transactions on Audio Speech and Language ProcessingIEEE Transactions on Speech and Audio ProcessingComputer Speech & Language
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Lidia Mangu
59 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 51
- Artificial Intelligence 2.0k
- Signal Processing 1.0k
- Computer Vision and Pattern Recognition 169
- Experimental and Cognitive Psychology 67
- Information Systems 58
Countries citing papers authored by Lidia Mangu
This map shows the geographic impact of Lidia Mangu'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 Lidia Mangu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lidia Mangu more than expected).
Fields of papers citing papers by Lidia Mangu
This network shows the impact of papers produced by Lidia Mangu. 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 Lidia Mangu. The network helps show where Lidia Mangu may publish in the future.
Co-authorship network of co-authors of Lidia Mangu
This figure shows the co-authorship network connecting the top 25 collaborators of Lidia Mangu. A scholar is included among the top collaborators of Lidia Mangu 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 Lidia Mangu. Lidia Mangu 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 | 17 | |
| 3 | 30 | |
| 4 | 27 | |
| 5 | 43 | |
| 6 | 2 | |
| 7 | 25 | |
| 8 | 92 | |
| 9 | 17 | |
| 10 | 15 | |
| 11 | 22 | |
| 12 | 12 | |
| 13 | 10 | |
| 14 | 15 | |
| 15 | 87 | |
| 16 | 24 | |
| 17 | 37 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | Automatic Rule Acquisition for Spelling Correction | 89 |
About Lidia Mangu
Lidia Mangu is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 60 papers that have together received 2.1k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (49 papers), Natural Language Processing Techniques (34 papers) and Speech and Audio Processing (19 papers). The work is most often cited by research in Signal Processing (1.0k citations), Artificial Intelligence (2.0k citations) and Computer Vision and Pattern Recognition (169 citations). Lidia Mangu has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Eric Brill, Andreas Stolcke, Brian Kingsbury, George Saon, Hagen Soltau, Daniel Povey, Geoffrey Zweig, Hong-Kwang Jeff Kuo, Ahmad Emami and Jie Zhu. Their work appears in journals such as IEEE Transactions on Audio Speech and Language Processing, IEEE Transactions on Speech and Audio Processing and Computer Speech & Language.
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.