Reinhard Kneser
- Artificial Intelligence top 0.5%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering top 10%
- Signal Processing top 2%
- Surgery
- Co-authors
- Hermann NeyU. EssenJörg PetersVolker SteinbissAstrid FranzJörn ÖstermannCristian LorenzTobias Klinder
- Topics
- Speech Recognition and Synthesis (10 papers)Natural Language Processing Techniques (10 papers)Topic Modeling (7 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceMedical Image AnalysisSpeech Communication
- Partner nations
- GermanyFinlandUnited States
In The Last Decade
Reinhard Kneser
24 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Artificial Intelligence 1.6k
- Computer Vision and Pattern Recognition 345
- Biomedical Engineering 276
- Signal Processing 257
- Surgery 120
Countries citing papers authored by Reinhard Kneser
This map shows the geographic impact of Reinhard Kneser'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 Reinhard Kneser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Reinhard Kneser more than expected).
Fields of papers citing papers by Reinhard Kneser
This network shows the impact of papers produced by Reinhard Kneser. 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 Reinhard Kneser. The network helps show where Reinhard Kneser may publish in the future.
Co-authorship network of co-authors of Reinhard Kneser
This figure shows the co-authorship network connecting the top 25 collaborators of Reinhard Kneser. A scholar is included among the top collaborators of Reinhard Kneser 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 Reinhard Kneser. Reinhard Kneser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 30 | |
| 3 | 4 | |
| 4 | 229 | |
| 5 | 69 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 42 | |
| 10 | 26 | |
| 11 | 14 | |
| 12 | Improved backing-off for M-gram language modelingbreakdown → | 927 |
| 13 | 20 | |
| 14 | 74 | |
| 15 | 5 | |
| 16 | 54 | |
| 17 | 7 | |
| 18 | 17 | |
| 19 | 303 | |
| 20 | 72 |
About Reinhard Kneser
Reinhard Kneser is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Oral Surgery, having authored 24 papers that have together received 2.1k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (10 papers), Natural Language Processing Techniques (10 papers) and Topic Modeling (7 papers). The work is most often cited by research in Artificial Intelligence (1.6k citations), Signal Processing (257 citations) and Computer Vision and Pattern Recognition (345 citations). Reinhard Kneser has collaborated with scholars based in Germany, Finland and United States. Frequent co-authors include Hermann Ney, U. Essen, Jörg Peters, Volker Steinbiss, Astrid Franz, Jörn Östermann, Cristian Lorenz, Tobias Klinder, Dietrich Klakow and Jürgen Weese. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Medical Image Analysis and Speech Communication.
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.