Andros Tjandra

94 total papers · 1.9k total citations
38 papers, 905 citations indexed

About

Andros Tjandra is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Andros Tjandra has authored 38 papers receiving a total of 905 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 21 papers in Signal Processing and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Andros Tjandra's work include Speech Recognition and Synthesis (32 papers), Speech and Audio Processing (17 papers) and Music and Audio Processing (17 papers). Andros Tjandra is often cited by papers focused on Speech Recognition and Synthesis (32 papers), Speech and Audio Processing (17 papers) and Music and Audio Processing (17 papers). Andros Tjandra collaborates with scholars based in Japan, Indonesia and United States. Andros Tjandra's co-authors include Sakriani Sakti, Satoshi Nakamura, Kritika Singh, Alexei Baevski, Yatharth Saraf, Alexis Conneau, Michael Auli, Kushal Lakhotia, Qiantong Xu and Changhan Wang and has published in prestigious journals such as IEEE Access, IEEE/ACM Transactions on Audio Speech and Language Processing and Nippon Onkyo Gakkaishi/Acoustical science and technology/Nihon Onkyo Gakkaishi.

In The Last Decade

Andros Tjandra

35 papers receiving 851 citations

Hit Papers

XLS-R: Self-supervised Cr... 2022 2026 2023 2024 2022 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Andros Tjandra 701 383 131 54 40 38 905
Ebru Arısoy 887 1.3× 242 0.6× 211 1.6× 23 0.4× 13 0.3× 40 1.0k
P. Nguyen 830 1.2× 668 1.7× 178 1.4× 7 0.1× 18 0.5× 18 1.1k
Yingyong Qi 448 0.6× 325 0.8× 304 2.3× 17 0.3× 10 0.3× 51 854
Dimitri Kanevsky 754 1.1× 611 1.6× 137 1.0× 3 0.1× 25 0.6× 59 1.0k
J.-C. Junqua 609 0.9× 625 1.6× 126 1.0× 7 0.1× 18 0.5× 29 796
Sijie Mai 804 1.1× 185 0.5× 268 2.0× 6 0.1× 16 0.4× 30 1.1k
Yuwu Lu 381 0.5× 106 0.3× 821 6.3× 23 0.4× 6 0.1× 52 1.0k
Fanlong Zhang 154 0.2× 110 0.3× 636 4.9× 12 0.2× 11 0.3× 40 829
Slim Essid 174 0.2× 532 1.4× 377 2.9× 10 0.2× 13 0.3× 55 709
Atalay Barkana 183 0.3× 194 0.5× 547 4.2× 7 0.1× 17 0.4× 33 798

Countries citing papers authored by Andros Tjandra

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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