M. Bisani
Impact in
- Artificial Intelligence top 2%
- Natural Language Processing Techniques
- Speech Recognition and Synthesis
- Topic Modeling
- Speech and dialogue systems
- Algorithms and Data Compression
- Signal Processing top 5%
- Music and Audio Processing
- Speech and Audio Processing
Papers in
-
- Speech Recognition and Synthesis 8
- Natural Language Processing Techniques 8
- Speech and dialogue systems 5
- Topic Modeling 4
-
- Music and Audio Processing 1
- Co-authors
- Hermann Ney (8 shared papers)Nicola Ueffing (1 shared paper)Ralf Schlüter (2 shared papers)Stephan Kanthak (1 shared paper)Stefan Hahn (1 shared paper)Georg Heigold (1 shared paper)Björn Hoffmeister (1 shared paper)
- Journals
- Speech Communication (1 paper)Meeting of the Association for Computational Linguistics (1 paper)RWTH Publications (RWTH Aachen) (3 papers)RWTH Publications (RWTH Aachen) (5 papers)
- Partner nations
- GermanyUnited States
In The Last Decade
M. Bisani
12 papers receiving 703 citations
M. Bisani's Hit Papers
Peers
Comparison fields: 5 of 46
- Artificial Intelligence 800
- Signal Processing 234
- Computer Vision and Pattern Recognition 86
- Experimental and Cognitive Psychology 40
- Human-Computer Interaction 17
Countries citing papers authored by M. Bisani
This map shows the geographic impact of M. Bisani'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 M. Bisani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Bisani more than expected).
Fields of papers citing papers by M. Bisani
This network shows the impact of papers produced by M. Bisani. 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 M. Bisani. The network helps show where M. Bisani may publish in the future.
Co-authors
The 7 scholars most cited alongside M. Bisani, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Joint-sequence models for grapheme-to-phoneme conversion Hit paper breakdown → | 2008 | 408 |
| 2 | 2004 | 154 | |
| 3 | 2005 | 93 | |
| 4 | 2002 | 46 | |
| 5 | 2013 | 42 | |
| 6 | 2006 | 33 | |
| 7 | 2006 | 31 | |
| 8 | 2003 | 19 | |
| 9 | 2012 | 18 | |
| 10 | Step fluctuations and random walks | 1999 | 6 |
| 11 | 2001 | 5 | |
| 12 | Automatic Editing in a Back-End Speech-to-Text System | 2008 | 2 |
About M. Bisani
M. Bisani is a scholar working on Artificial Intelligence, Signal Processing, Computer Networks and Communications, Condensed Matter Physics and Information Systems, having authored 12 papers that have together received 857 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (8 papers), Natural Language Processing Techniques (8 papers), Speech and dialogue systems (5 papers), Topic Modeling (4 papers), Theoretical and Computational Physics (1 paper), Force Microscopy Techniques and Applications (1 paper), Music and Audio Processing (1 paper) and Flow Measurement and Analysis (1 paper). The work is most often cited by research in Artificial Intelligence (800 citations), Signal Processing (234 citations), Computer Vision and Pattern Recognition (86 citations), Experimental and Cognitive Psychology (40 citations) and Human-Computer Interaction (17 citations). M. Bisani has collaborated with scholars based in Germany and United States. Frequent co-authors include Hermann Ney, Nicola Ueffing, Ralf Schlüter, Stephan Kanthak, Stefan Hahn, Georg Heigold and Björn Hoffmeister. Their work appears in journals such as Speech Communication, Meeting of the Association for Computational Linguistics, RWTH Publications (RWTH Aachen) and RWTH Publications (RWTH Aachen).
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.