Ralf Schlüter

9.3k total citations · 2 hit papers
228 papers, 5.6k citations indexed

About

Ralf Schlüter is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ralf Schlüter has authored 228 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 209 papers in Artificial Intelligence, 120 papers in Signal Processing and 34 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ralf Schlüter's work include Speech Recognition and Synthesis (182 papers), Speech and Audio Processing (100 papers) and Natural Language Processing Techniques (94 papers). Ralf Schlüter is often cited by papers focused on Speech Recognition and Synthesis (182 papers), Speech and Audio Processing (100 papers) and Natural Language Processing Techniques (94 papers). Ralf Schlüter collaborates with scholars based in Germany, France and United States. Ralf Schlüter's co-authors include Hermann Ney, Martin Sundermeyer, Zoltán Tüske, Frank Wessel, Klaus Macherey, Georg Heigold, Pavel Golik, Albert Zeyer, David Rybach and Kazuki Irie and has published in prestigious journals such as Environmental Science & Technology, IEEE Transactions on Pattern Analysis and Machine Intelligence and Energy.

In The Last Decade

Ralf Schlüter

219 papers receiving 5.0k citations

Hit Papers

LSTM neural networks for language modeling 2012 2026 2016 2021 2012 2015 400 800 1.2k
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. LSTM neural networks for language modeling
    2012 1.2k citations Martin Sundermeyer, Ralf Schlüter et al. profile →
  2. From Feedforward to Recurrent LSTM Neural Networks for Language Modeling
    2015 360 citations Martin Sundermeyer, Hermann Ney et al. profile →

Peers

Ralf Schlüter
Haşim Sak United States
Bhuvana Ramabhadran United States
Martin Karafiát Czechia
Hui Jiang Canada
Jaň Černocký Czechia
Françoise Beaufays United States
Hung-yi Lee Taiwan
Seibi Chiba Japan
Barret Zoph United States
Chotirat Ann Ratanamahatana Thailand
Haşim Sak United States
Ralf Schlüter
Citations per year, relative to Ralf Schlüter Ralf Schlüter (= 1×) peers Haşim Sak

Countries citing papers authored by Ralf Schlüter

Since Specialization
Citations

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

Fields of papers citing papers by Ralf Schlüter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ralf Schlüter

This figure shows the co-authorship network connecting the top 25 collaborators of Ralf Schlüter. A scholar is included among the top collaborators of Ralf Schlüter 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 Ralf Schlüter. Ralf Schlüter 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.
2.
Zhou, Wei, et al.. (2023). Lattice-Free Sequence Discriminative Training for Phoneme-Based Neural Transducers. 1–5. 1 indexed citations
3.
4.
Schlüter, Ralf, et al.. (2023). End-To-End Training of a Neural HMM with Label and Transition Probabilities. 1–8. 1 indexed citations
5.
Zhou, Wei, et al.. (2022). Efficient Training of Neural Transducer for Speech Recognition. Interspeech 2022. 2058–2062. 8 indexed citations
6.
Schlüter, Ralf. (2019). Survey Talk: Modeling in Automatic Speech Recognition: Beyond Hidden Markov Models.. Conference of the International Speech Communication Association. 2 indexed citations
7.
Doetsch, Patrick, Hermann Ney, Stefan Hegselmann, & Ralf Schlüter. (2016). Inverted HMM - a Proof of Concept. Neural Information Processing Systems. 3 indexed citations
8.
Zeyer, Albert, et al.. (2016). Robust Online Multi-Channel Speech Recognition.. 1–5. 2 indexed citations
9.
Irie, Kazuki, Zoltán Tüske, Tamer Alkhouli, Ralf Schlüter, & Hermann Ney. (2016). LSTM, GRU, Highway and a Bit of Attention: An Empirical Overview for Language Modeling in Speech Recognition. 3519–3523. 58 indexed citations
10.
Tüske, Zoltán, et al.. (2015). Improvements in RWTH LVCSR evaluation systems for Polish, Portuguese, English, urdu, and Arabic. 3154–3158. 3 indexed citations
11.
Sundermeyer, Martin, Ralf Schlüter, & Hermann Ney. (2014). rwthlm — the RWTH aachen university neural network language modeling toolkit. 2093–2097. 28 indexed citations
12.
Tüske, Zoltán, Ralf Schlüter, & Hermann Ney. (2013). Multilingual hierarchical MRASTA features for ASR. 2222–2226. 22 indexed citations
13.
Nakaten, Natalie, et al.. (2012). Development of a technical-economic model for dynamic calculation of COE, energy demand and CO2 emissions of an integrated UCG-CCS process. Publication Database GFZ (GFZ German Research Centre for Geosciences). 1781. 1 indexed citations
14.
Tüske, Zoltán, Friedel Drepper, & Ralf Schlüter. (2012). Non-stationary signal processing and its application in speech recognition.. RWTH Publications (RWTH Aachen). 34–39. 3 indexed citations
15.
Rybach, David, et al.. (2012). Hierarchical hybrid language models for open vocabulary continuous speech recognition using WFST.. Conference of the International Speech Communication Association. 46–51. 12 indexed citations
16.
Schlüter, Ralf, et al.. (2010). A Hybrid Morphologically Decomposed Factored Language Models for Arabic LVCSR. North American Chapter of the Association for Computational Linguistics. 701–704. 11 indexed citations
17.
Schlüter, Ralf, et al.. (2010). On the relation of Bayes risk, word error, and word posteriors in ASR. 230–233. 3 indexed citations
18.
Kühn, Michael, Stefan Peiffer, Holger Class, et al.. (2005). CO2Trap - Development and evaluation of innovative strategies for mineral and physical trapping of CO2 in geological formations and of long-term cap rock integrity. RWTH Publications (RWTH Aachen). 5 indexed citations
19.
Schlüter, Ralf, et al.. (2004). THE DIRECTIONAL GAMMA-TOOL – MORE INFORMATION FROM SMALL DIAMETER BOREHOLES. Geologica Belgica. 7. 319–324. 1 indexed citations
20.
Kanthak, Stephan, et al.. (2000). The RWTH Large Vocabulary Speech Recognition System for Spontaneous Speech. RWTH Publications (RWTH Aachen). 249–254. 2 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Haşim Sak Breakdown of academic impact, for papers by Bhuvana Ramabhadran Breakdown of academic impact, for papers by Martin Karafiát Breakdown of academic impact, for papers by Hui Jiang Breakdown of academic impact, for papers by Jaň Černocký Breakdown of academic impact, for papers by Françoise Beaufays Breakdown of academic impact, for papers by Hung-yi Lee Breakdown of academic impact, for papers by Seibi Chiba Breakdown of academic impact, for papers by Barret Zoph Breakdown of academic impact, for papers by Chotirat Ann Ratanamahatana
Rankless by CCL
2026