Andros Tjandra
- Artificial Intelligence top 2%
- Signal Processing top 2%
- Computer Vision and Pattern Recognition top 10%
- Computational Mathematics top 2%
- Experimental and Cognitive Psychology
- Co-authors
- Sakriani SaktiSatoshi NakamuraYatharth SarafKritika SinghAlexei BaevskiAlexis ConneauMichael AuliKushal Lakhotia
- Topics
- Speech Recognition and Synthesis (32 papers)Speech and Audio Processing (17 papers)Music and Audio Processing (17 papers)
- Journals
- IEEE AccessIEEE/ACM Transactions on Audio Speech and Language ProcessingIEICE Transactions on Information and Systems
- Partner nations
- JapanIndonesiaUnited States
In The Last Decade
Andros Tjandra
35 papers receiving 869 citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Artificial Intelligence 712
- Signal Processing 387
- Computer Vision and Pattern Recognition 132
- Computational Mathematics 59
- Experimental and Cognitive Psychology 40
Countries citing papers authored by Andros Tjandra
This map shows the geographic impact of Andros Tjandra'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 Andros Tjandra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andros Tjandra more than expected).
Fields of papers citing papers by Andros Tjandra
This network shows the impact of papers produced by Andros Tjandra. 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 Andros Tjandra. The network helps show where Andros Tjandra may publish in the future.
Co-authorship network of co-authors of Andros Tjandra
This figure shows the co-authorship network connecting the top 25 collaborators of Andros Tjandra. A scholar is included among the top collaborators of Andros Tjandra 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 Andros Tjandra. Andros Tjandra 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 | 5 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scalebreakdown → | 266 |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 17 | |
| 9 | 3 | |
| 10 | 24 | |
| 11 | 3 | |
| 12 | 34 | |
| 13 | 8 | |
| 14 | 12 | |
| 15 | Local Monotonic Attention Mechanism for End-to-End Speech And Language Processing | 15 |
| 16 | 16 | |
| 17 | 54 | |
| 18 | 1 | |
| 19 | 10 | |
| 20 | 30 |
About Andros Tjandra
Andros Tjandra is a scholar working on Computational Mathematics, Signal Processing and Artificial Intelligence, having authored 39 papers that have together received 923 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (32 papers), Speech and Audio Processing (17 papers) and Music and Audio Processing (17 papers). The work is most often cited by research in Computational Mathematics (59 citations), Signal Processing (387 citations) and Artificial Intelligence (712 citations). Andros Tjandra has collaborated with scholars based in Japan, Indonesia and United States. Frequent co-authors include Sakriani Sakti, Satoshi Nakamura, Yatharth Saraf, Kritika Singh, Alexei Baevski, Alexis Conneau, Michael Auli, Kushal Lakhotia, Arun Babu and Qiantong Xu. Their work appears in journals such as IEEE Access, IEEE/ACM Transactions on Audio Speech and Language Processing and IEICE Transactions on Information and Systems.
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.