Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
AST: Audio Spectrogram Transformer
2021517 citationsYuan Gong, Yu-An Chung et al.profile →
This map shows the geographic impact of James Glass'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 James Glass with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Glass more than expected).
This network shows the impact of papers produced by James Glass. 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 James Glass. The network helps show where James Glass may publish in the future.
Co-authorship network of co-authors of James Glass
This figure shows the co-authorship network connecting the top 25 collaborators of James Glass.
A scholar is included among the top collaborators of James Glass 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 James Glass. James Glass is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Liu, Alexander, et al.. (2022). Cross-Modal Discrete Representation Learning. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 3013–3035.24 indexed citations
7.
Gong, Yuan, Alexander H. Liu, Andrew Rouditchenko, & James Glass. (2022). UAVM: Towards Unifying Audio and Visual Models. IEEE Signal Processing Letters. 29. 2437–2441.16 indexed citations
Chung, Yu-An, et al.. (2018). Unsupervised cross-modal alignment of speech and text embedding spaces. Neural Information Processing Systems. 31. 7365–7375.13 indexed citations
15.
Harwath, David, Antonio Torralba, & James Glass. (2016). Unsupervised learning of spoken language with visual context. DSpace@MIT (Massachusetts Institute of Technology). 29. 1858–1866.112 indexed citations
16.
Lee, Chia-ying & James Glass. (2012). A Nonparametric Bayesian Approach to Acoustic Model Discovery. Meeting of the Association for Computational Linguistics. 40–49.126 indexed citations
17.
Shum, Stephen, Najim Dehak, Réda Dehak, & James Glass. (2010). Unsupervised Speaker Adaptation based on the Cosine Similarity for Text-Independent Speaker Verification.. 16.38 indexed citations
18.
Baker, James, et al.. (2009). Updated MINDS Report on Speech Recognition and Understanding. IEEE Signal Processing Magazine. 26.16 indexed citations
Leung, Hong, James Glass, Michael Phillips, & Victor W. Zue. (1990). Phonetic Classification and Recognition Using the Multi-Layer Perceptron. Neural Information Processing Systems. 3. 248–254.1 indexed citations
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.