Stefan Kombrink

2.6k total citations · 1 hit paper
12 papers, 1.6k citations indexed

About

Stefan Kombrink is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Stefan Kombrink has authored 12 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Cognitive Neuroscience. Recurrent topics in Stefan Kombrink's work include Natural Language Processing Techniques (11 papers), Speech Recognition and Synthesis (10 papers) and Topic Modeling (8 papers). Stefan Kombrink is often cited by papers focused on Natural Language Processing Techniques (11 papers), Speech Recognition and Synthesis (10 papers) and Topic Modeling (8 papers). Stefan Kombrink collaborates with scholars based in Czechia, United States and Germany. Stefan Kombrink's co-authors include Tomáš Mikolov, Lukáš Burget, Jaň Černocký, Sanjeev Khudanpur, Anoop Deoras, Martin Karafiát, Mirko Hannemann, Kenneth Church, Yanmin Qian and Korbinian Riedhammer and has published in prestigious journals such as Speech Communication, Disability and Rehabilitation Assistive Technology and Edinburgh Research Explorer.

In The Last Decade

Stefan Kombrink

12 papers receiving 1.4k citations

Hit Papers

align trajectories

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.

Extensions of recurrent neural network language model

2011 929 citations Tomáš Mikolov, Stefan Kombrink et al. profile →

Peers

Countries citing papers authored by Stefan Kombrink

Since Specialization

Citations

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

Fields of papers citing papers by Stefan Kombrink

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Kombrink

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

All Works

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12 of 12 papers shown

#	Work	Indexed citations
1	Generating exact lattices in the WFST framework 2012 ·Edinburgh Research Explorer ·Daniel Povey, Mirko Hannemann, Gilles Boulianne, Lukáš Burget, Arnab Ghoshal, (unknown), Martin Karafiát, Stefan Kombrink, Petr Motlíček, Yanmin Qian, Korbinian Riedhammer, Karel Veselý, Ngoc Thang Vu	68
2	Approximate inference: A sampling based modeling technique to capture complex dependencies in a language model 2012 ·Speech Communication ·Anoop Deoras, Tomáš Mikolov, Stefan Kombrink, Kenneth Church	25
3	Improving language models for ASR using translated in-domain data 2012 ·Stefan Kombrink, Tomáš Mikolov, Martin Karafiát, Lukáš Burget	2
4	Approximate Inference: A Sampling Based Modeling Technique to Capture Complex Dependencies in a Language Model 2012 ·Anoop Deoras, Tomáš Mikolov, Stefan Kombrink, Kenneth Church	1
5	RNNLM - Recurrent Neural Network Language Modeling Toolkit 2011 ·Tomáš Mikolov, Stefan Kombrink, Anoop Deoras, Lukáš Burget, Jaň Černocký	165
6	Recurrent neural network based language modeling in meeting recognition 2011 ·Stefan Kombrink, Tomáš Mikolov, Martin Karafiát, Lukáš Burget	135
7	Variational approximation of long-span language models for lvcsr 2011 ·Anoop Deoras, Tomáš Mikolov, Stefan Kombrink, Martin Karafiát, Sanjeev Khudanpur	39
8	Extensions of recurrent neural network language model breakdown → 2011 ·Tomáš Mikolov, Stefan Kombrink, Lukáš Burget, Jaň Černocký, Sanjeev Khudanpur	929
9	Empirical evaluation and combination of advanced language modeling techniques 2011 ·Tomáš Mikolov, Anoop Deoras, Stefan Kombrink, Lukáš Burget, Jaň Černocký	161
10	Similarity scoring for recognizing repeated out-of-vocabulary words 2010 ·Mirko Hannemann, Stefan Kombrink, Martin Karafiát, Lukáš Burget	7
11	Posterior-based out of vocabulary word detection in telephone speech 2009 ·Stefan Kombrink, Lukáš Burget, Pavel Matějka, Martin Karafiát, Hynek Heřmanský	17
12	Real and virtual explorations of the environment and interactive tracking of movable objects for the blind on the basis of tactile-acoustical maps and 3D environment models 2008 ·Disability and Rehabilitation Assistive Technology ·(unknown), (unknown), Stefan Kombrink, Thomas Ertl	4

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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