Georg Heigold

25.5k total citations · 2 hit papers
59 papers, 2.2k citations indexed

About

Georg Heigold is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Georg Heigold has authored 59 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Artificial Intelligence, 26 papers in Signal Processing and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Georg Heigold's work include Speech Recognition and Synthesis (41 papers), Music and Audio Processing (21 papers) and Natural Language Processing Techniques (21 papers). Georg Heigold is often cited by papers focused on Speech Recognition and Synthesis (41 papers), Music and Audio Processing (21 papers) and Natural Language Processing Techniques (21 papers). Georg Heigold collaborates with scholars based in Germany, United States and Switzerland. Georg Heigold's co-authors include Carolina Parada, Guoguo Chen, Hermann Ney, Samy Bengio, Andrew Senior, Ignacio López Moreno, Noam Shazeer, Ralf Schlüter, Vincent Vanhoucke and Matthieu Devin and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Pattern Recognition.

In The Last Decade

Georg Heigold

56 papers receiving 1.9k citations

Hit Papers

Small-footprint keyword spotting using deep neural networks 2014 2026 2018 2022 2014 2016 100 200 300
What are hit papers?

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.

  1. Small-footprint keyword spotting using deep neural networks
    2014 362 citations Georg Heigold et al. profile →
  2. End-to-end text-dependent speaker verification
    2016 331 citations Georg Heigold et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Georg Heigold Germany 22 1.8k 1.2k 461 83 50 59 2.2k
Yifan Gong United States 28 2.1k 1.2× 1.6k 1.3× 499 1.1× 160 1.9× 70 1.4× 124 2.7k
George Saon United States 29 2.8k 1.6× 2.0k 1.7× 385 0.8× 77 0.9× 32 0.6× 124 3.3k
Hagen Soltau United States 23 2.2k 1.2× 1.6k 1.3× 318 0.7× 67 0.8× 18 0.4× 64 2.7k
Michael Mandel United States 19 671 0.4× 1.4k 1.1× 783 1.7× 84 1.0× 35 0.7× 74 2.0k
Xiaodong Cui United States 21 1.2k 0.6× 824 0.7× 238 0.5× 123 1.5× 50 1.0× 92 1.6k
Kanishka Rao India 17 1.6k 0.9× 967 0.8× 278 0.6× 50 0.6× 29 0.6× 53 1.9k
Nanxin Chen United States 19 2.0k 1.1× 1.6k 1.3× 207 0.4× 42 0.5× 30 0.6× 29 2.3k
Xiao-Lei Zhang China 16 816 0.5× 838 0.7× 176 0.4× 59 0.7× 27 0.5× 83 1.2k
Chiori Hori Japan 22 1.7k 1.0× 986 0.8× 361 0.8× 49 0.6× 22 0.4× 127 2.2k
Mohit Dua India 23 805 0.5× 540 0.5× 673 1.5× 50 0.6× 113 2.3× 119 1.6k

Countries citing papers authored by Georg Heigold

Since Specialization
Citations

This map shows the geographic impact of Georg Heigold'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 Georg Heigold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Georg Heigold more than expected).

Fields of papers citing papers by Georg Heigold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Georg Heigold. 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 Georg Heigold. The network helps show where Georg Heigold may publish in the future.

Co-authorship network of co-authors of Georg Heigold

This figure shows the co-authorship network connecting the top 25 collaborators of Georg Heigold. A scholar is included among the top collaborators of Georg Heigold 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 Georg Heigold. Georg Heigold is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Dosovitskiy, Alexey, Lucas Beyer, Alexander Kolesnikov, et al.. (2021). An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale. International Conference on Learning Representations. 143 indexed citations
2.
Locatello, Francesco, Dirk Weissenborn, Thomas Unterthiner, et al.. (2020). Object-Centric Learning with Slot Attention. Neural Information Processing Systems. 33. 11525–11538. 13 indexed citations
3.
Uszkoreit, Hans, Leonhard Hennig, Stephan Busemann, et al.. (2017). Common Round: Application of Language Technologies to Large-Scale Web Debates. 5–8.
4.
Sak, Haşim, Oriol Vinyals, Georg Heigold, et al.. (2014). Sequence discriminative distributed training of long short-term memory recurrent neural networks. 1209–1213. 96 indexed citations
5.
McDermott, Erik, Georg Heigold, Pedro J. Moreno, Andrew Senior, & Michiel Bacchiani. (2014). Asynchronous stochastic optimization for sequence training of deep neural networks: towards big data. 1224–1228. 6 indexed citations
6.
Wright, Stephen J., Dimitri Kanevsky, Li Deng, et al.. (2013). Optimization Algorithms and Applications for Speech and Language Processing. IEEE Transactions on Audio Speech and Language Processing. 21(11). 2231–2243. 13 indexed citations
7.
Kanevsky, Dimitri, Georg Heigold, Stephen J. Wright, & Hermann Ney. (2012). Overview of large scale optimization for discriminative training in speech recognition. 15. 5233–5236. 3 indexed citations
8.
Heigold, Georg, Patrick Nguyen, M. Weintraub, & Vincent Vanhoucke. (2012). Investigations on exemplar-based features for speech recognition towards thousands of hours of unsupervised, noisy data. 4437–4440. 8 indexed citations
9.
Deselaers, Thomas, et al.. (2011). Latent Log-Linear Models for Handwritten Digit Classification. IEEE Transactions on Pattern Analysis and Machine Intelligence. 34(6). 1105–1117. 17 indexed citations
10.
Heigold, Georg, Philippe Dreuw, Stefan Hahn, Ralf Schlüter, & Hermann Ney. (2010). Margin-Based Discriminative Training for String Recognition. IEEE Journal of Selected Topics in Signal Processing. 4(6). 917–925. 13 indexed citations
11.
Wiesler, Simon, et al.. (2010). A discriminative splitting criterion for phonetic decision trees. 54–57. 5 indexed citations
12.
Nguyen, Patrick, Georg Heigold, & Geoffrey Zweig. (2010). Speech Recognition With Flat Direct Models. IEEE Journal of Selected Topics in Signal Processing. 4(6). 994–1006. 19 indexed citations
13.
Hahn, Stefan, Patrick Lehnen, Georg Heigold, & Hermann Ney. (2009). Optimizing CRFs for SLU tasks in various languages using modified training criteria. 2727–2730. 10 indexed citations
14.
Heigold, Georg, et al.. (2009). A flat direct model for speech recognition. 15. 3861–3864. 19 indexed citations
15.
Heigold, Georg, David Rybach, Ralf Schlüter, & Hermann Ney. (2009). Investigations on convex optimization using log-linear HMMs for digit string recognition. 216–219. 14 indexed citations
16.
Heigold, Georg, Ralf Schlüter, & Hermann Ney. (2009). Modified MPE/MMI in a transducer-based framework. 3749–3752. 13 indexed citations
17.
Hoffmeister, Björn, Minjoo Hwang, Detang Lu, et al.. (2008). Recent improvements of the RWTH GALE Mandarin LVCSR system. 16 indexed citations
18.
Heigold, Georg, Patrick Lehnen, Ralf Schlüter, & Hermann Ney. (2008). On the equivalence of Gaussian and log-linear HMMs. 273–276. 17 indexed citations
19.
Heigold, Georg, Ralf Schlüter, & Hermann Ney. (2007). On the equivalence of Gaussian HMM and Gaussian HMM-like hidden conditional random fields. 1721–1724. 22 indexed citations
20.
Bisani, M., et al.. (2006). The 2006 RWTH parliamentary speeches transcription system. paper 1545–Mon1BuP.1. 31 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.

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