S. Ortmanns

1.2k total citations
18 papers, 739 citations indexed

About

S. Ortmanns is a scholar working on Artificial Intelligence, Signal Processing and Automotive Engineering. According to data from OpenAlex, S. Ortmanns has authored 18 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 11 papers in Signal Processing and 1 paper in Automotive Engineering. Recurrent topics in S. Ortmanns's work include Speech Recognition and Synthesis (15 papers), Natural Language Processing Techniques (12 papers) and Music and Audio Processing (7 papers). S. Ortmanns is often cited by papers focused on Speech Recognition and Synthesis (15 papers), Natural Language Processing Techniques (12 papers) and Music and Audio Processing (7 papers). S. Ortmanns collaborates with scholars based in Germany and France. S. Ortmanns's co-authors include Hermann Ney, Xavier Aubert, L. Welling, Frank Wessel, Wolfgang Reichl and Wu Chou and has published in prestigious journals such as Proceedings of the IEEE, IEEE Signal Processing Magazine and IEEE Transactions on Speech and Audio Processing.

In The Last Decade

S. Ortmanns

17 papers receiving 622 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
S. Ortmanns 647 328 157 26 20 18 739
M. Padmanabhan 749 1.2× 589 1.8× 155 1.0× 26 1.0× 20 1.0× 61 947
Owen Kimball 911 1.4× 620 1.9× 131 0.8× 60 2.3× 6 0.3× 39 1.0k
Yanzhang He 829 1.3× 574 1.8× 71 0.5× 20 0.8× 19 0.9× 42 936
Mikio Yamamoto 541 0.8× 284 0.9× 66 0.4× 23 0.9× 8 0.4× 45 687
Enrico Bocchieri 628 1.0× 420 1.3× 129 0.8× 13 0.5× 7 0.3× 36 700
Eugene Weinstein 389 0.6× 326 1.0× 86 0.5× 12 0.5× 10 0.5× 24 531
Hossein Sameti 577 0.9× 663 2.0× 73 0.5× 37 1.4× 6 0.3× 103 848
R. Bakis 443 0.7× 299 0.9× 95 0.6× 95 3.7× 5 0.3× 29 561
Nikko Ström 588 0.9× 261 0.8× 156 1.0× 39 1.5× 15 0.8× 22 679
Christian Gollan 367 0.6× 183 0.6× 182 1.2× 24 0.9× 3 0.1× 18 520

Countries citing papers authored by S. Ortmanns

Since Specialization
Citations

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

Fields of papers citing papers by S. Ortmanns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Ortmanns

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

All Works

18 of 18 papers shown
1.
Ortmanns, S., et al.. (2018). The Mobile Cognitive Assistant: Bridging the Gap between In-Car and Outside-the-car Experiences.
2.
Ney, Hermann, et al.. (2002). The RWTH large vocabulary continuous speech recognition system. 2. 853–856. 31 indexed citations
3.
Ortmanns, S., et al.. (2002). Look-ahead techniques for fast beam search. 3. 1783–1786. 33 indexed citations
4.
Ney, Hermann & S. Ortmanns. (2002). Progress in dynamic programming search for LVCSR. 287–294. 10 indexed citations
5.
Ney, Hermann, et al.. (2002). The RWTH speech recognition system and spoken document retrieval. 4. 2022–2027. 2 indexed citations
6.
Ney, Hermann, et al.. (2002). Extensions to the word graph method for large vocabulary continuous speech recognition. 3. 1791–1794. 12 indexed citations
7.
Ortmanns, S., et al.. (2002). Improved lexical tree search for large vocabulary speech recognition. 2. 817–820. 20 indexed citations
8.
9.
Ortmanns, S., et al.. (2002). Language-model look-ahead for large vocabulary speech recognition. 4. 2095–2098. 48 indexed citations
10.
Ortmanns, S. & Hermann Ney. (2000). The time-conditioned approach in dynamic programming search for LVCSR. IEEE Transactions on Speech and Audio Processing. 8(6). 676–687. 4 indexed citations
11.
Ney, Hermann & S. Ortmanns. (2000). Progress in dynamic programming search for LVCSR. Proceedings of the IEEE. 88(8). 1224–1240. 71 indexed citations
12.
Ortmanns, S. & Hermann Ney. (2000). Look-ahead techniques for fast beam search. Computer Speech & Language. 14(1). 15–32. 27 indexed citations
13.
Ortmanns, S., et al.. (1999). High quality word graphs using forward-backward pruning. 593–596 vol.2. 25 indexed citations
14.
Ortmanns, S., et al.. (1999). Dynamic programming search techniques for across-word modelling in speech recognition. 609–612 vol.2. 7 indexed citations
15.
Ortmanns, S., Wolfgang Reichl, & Wu Chou. (1999). An efficient decoding method for real time speech recognition. 499–502. 7 indexed citations
16.
Ney, Hermann & S. Ortmanns. (1999). Dynamic programming search for continuous speech recognition. IEEE Signal Processing Magazine. 16(5). 64–83. 117 indexed citations
17.
Ortmanns, S., Hermann Ney, & Xavier Aubert. (1997). A word graph algorithm for large vocabulary continuous speech recognition. Computer Speech & Language. 11(1). 43–72. 273 indexed citations
18.

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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