Vahid Noroozi
- Artificial Intelligence top 10%
- Astronomy and Astrophysics top 10%
- Signal Processing top 10%
- Information Systems top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Philip S. YuSara BahaadiniJ. R. SmithV. KalogeraS. B. CoughlinNeda RohaniAggelos K. KatsaggelosM. Zevin
- Topics
- Speech Recognition and Synthesis (6 papers)Speech and Audio Processing (3 papers)Music and Audio Processing (3 papers)
- Journals
- Information SciencesPhysical review. DKnowledge Discovery and Data Mining
- Partner nations
- United StatesCanadaIran
In The Last Decade
Vahid Noroozi
18 papers receiving 247 citations
Peers
Comparison fields: 5 of 53
- Artificial Intelligence 133
- Astronomy and Astrophysics 71
- Signal Processing 58
- Information Systems 45
- Computer Vision and Pattern Recognition 43
Countries citing papers authored by Vahid Noroozi
This map shows the geographic impact of Vahid Noroozi'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 Vahid Noroozi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vahid Noroozi more than expected).
Fields of papers citing papers by Vahid Noroozi
This network shows the impact of papers produced by Vahid Noroozi. 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 Vahid Noroozi. The network helps show where Vahid Noroozi may publish in the future.
Co-authorship network of co-authors of Vahid Noroozi
This figure shows the co-authorship network connecting the top 25 collaborators of Vahid Noroozi. A scholar is included among the top collaborators of Vahid Noroozi 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 Vahid Noroozi. Vahid Noroozi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 27 | |
| 5 | 4 | |
| 6 | 20 | |
| 7 | 2 | |
| 8 | A Fast and Robust BERT-based Dialogue State Tracker for Schema-Guided Dialogue Dataset | 2 |
| 9 | 26 | |
| 10 | 16 | |
| 11 | 3 | |
| 12 | 11 | |
| 13 | 4 | |
| 14 | 33 | |
| 15 | 69 | |
| 16 | 11 | |
| 17 | Adaptive load balancing in LTE-Advanced networks with base station coordination | 0 |
| 18 | 10 | |
| 19 | 21 |
About Vahid Noroozi
Vahid Noroozi is a scholar working on Signal Processing, Artificial Intelligence and Software, having authored 19 papers that have together received 262 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (6 papers), Speech and Audio Processing (3 papers) and Music and Audio Processing (3 papers). The work is most often cited by research in Signal Processing (58 citations), Astronomy and Astrophysics (71 citations) and Artificial Intelligence (133 citations). Vahid Noroozi has collaborated with scholars based in United States, Canada and Iran. Frequent co-authors include Philip S. Yu, Sara Bahaadini, J. R. Smith, V. Kalogera, S. B. Coughlin, Neda Rohani, Aggelos K. Katsaggelos, M. Zevin, Ali Hashemi and Chris Kanich. Their work appears in journals such as Information Sciences, Physical review. D and Knowledge Discovery and Data Mining.
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.