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.
Perceptual linear predictive (PLP) analysis of speech
Countries citing papers authored by Hynek Heřmanský
Since
Specialization
Citations
This map shows the geographic impact of Hynek Heřmanský'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 Hynek Heřmanský with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hynek Heřmanský more than expected).
This network shows the impact of papers produced by Hynek Heřmanský. 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 Hynek Heřmanský. The network helps show where Hynek Heřmanský may publish in the future.
Co-authorship network of co-authors of Hynek Heřmanský
This figure shows the co-authorship network connecting the top 25 collaborators of Hynek Heřmanský.
A scholar is included among the top collaborators of Hynek Heřmanský 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 Hynek Heřmanský. Hynek Heřmanský is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Mallidi, Sri Harish, et al.. (2019). Multi-Stream End-to-End Speech Recognition. IEEE/ACM Transactions on Audio Speech and Language Processing. 28. 646–655.13 indexed citations
Ganapathy, Sriram, Petr Motlíček, Hynek Heřmanský, & Harinath Garudadri. (2008). Autoregressive Modelling of Hilbert Envelopes for Wide-band Audio Coding. Journal of the Audio Engineering Society.5 indexed citations
13.
Thomas, Samuel, Sriram Ganapathy, & Hynek Heřmanský. (2008). Spectro-temporal features for Automatic Speech Recognition using Linear Prediction in spectral domain. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–4.6 indexed citations
14.
Motlíček, Petr, Sriram Ganapathy, Hynek Heřmanský, & Harinath Garudadri. (2007). Scalable Wide-band Audio Codec based on Frequency Domain Linear Prediction. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 109. 109–13.4 indexed citations
15.
Motlíček, Petr, Sriram Ganapathy, Hynek Heřmanský, & Harinath Garudadri. (2007). Non-uniform QMF Decomposition for Wide-band Audio Coding based on Frequency Domain Linear Prediction. Infoscience (Ecole Polytechnique Fédérale de Lausanne).2 indexed citations
16.
Kajarekar, Sachin & Hynek Heřmanský. (2001). Speaker verification based on broad phonetic categories.. 201–206.6 indexed citations
Yang, Howard H. & Hynek Heřmanský. (1999). Search for Information Bearing Components in Speech. Neural Information Processing Systems. 12. 803–812.3 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.