Christophe Laprun
- Signal Processing top 10%
- Speech and Audio Processing 1
- Artificial Intelligence top 10%
- Natural Language Processing Techniques 2
- Semantic Web and Ontologies 1
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- Context-Aware Activity Recognition Systems 1
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- Mathematics, Computing, and Information Processing 1
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- Indoor and Outdoor Localization Technologies 1
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- Distributed and Parallel Computing Systems 1
- Bluetooth and Wireless Communication Technologies 1
- Co-authors
- John S. GarofoloJonathan G. FiscusMartial MichelVincent M. StanfordElham TabassiDavid DayMark LibermanJohn C. Henderson
- Journals
- Language Resources and Evaluation (1 paper)ArXiv.org (1 paper)2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). (1 paper)
- Partner nations
- United StatesEgypt
In The Last Decade
Christophe Laprun
7 papers receiving 152 citations
Peers
Comparison fields: 5 of 35
- Signal Processing 52
- Artificial Intelligence 147
- Human-Computer Interaction 13
- Computer Vision and Pattern Recognition 29
- Language and Linguistics 14
Countries citing papers authored by Christophe Laprun
This map shows the geographic impact of Christophe Laprun'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 Christophe Laprun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christophe Laprun more than expected).
Fields of papers citing papers by Christophe Laprun
This network shows the impact of papers produced by Christophe Laprun. 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 Christophe Laprun. The network helps show where Christophe Laprun may publish in the future.
Co-authorship network
The 11 scholars most cited alongside Christophe Laprun, 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 | Multiple Dimension Levenshtein Edit Distance Calculations for Evaluating Automatic Speech Recognition Systems During Simultaneous Speech | 2006 | 24 |
| 2 | The Rich Transcription 2004 Spring Meeting Recognition Evaluation | NIST | 2004 | 7 |
| 3 | 2004 | 28 | |
| 4 | The NIST Meeting Room Pilot Corpus | 2004 | 48 |
| 5 | 2002 | 5 | |
| 6 | A Pratical Introduction to ATLAS. | 2002 | 28 |
| 7 | 2000 | 55 |
About Christophe Laprun
Christophe Laprun is a scholar working on Artificial Intelligence, Signal Processing, Computer Networks and Communications, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 7 papers that have together received 195 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (2 papers), Mathematics, Computing, and Information Processing (1 paper), Indoor and Outdoor Localization Technologies (1 paper), Speech and Audio Processing (1 paper), Context-Aware Activity Recognition Systems (1 paper), Distributed and Parallel Computing Systems (1 paper), Bluetooth and Wireless Communication Technologies (1 paper) and Semantic Web and Ontologies (1 paper). The work is most often cited by research in Signal Processing (52 citations), Artificial Intelligence (147 citations), Human-Computer Interaction (13 citations), Computer Vision and Pattern Recognition (29 citations) and Language and Linguistics (14 citations). Christophe Laprun has collaborated with scholars based in United States and Egypt. Frequent co-authors include John S. Garofolo, Jonathan G. Fiscus, Martial Michel, Vincent M. Stanford, Elham Tabassi, David Day, Mark Liberman, John C. Henderson, Steven Bird and Jerome Ajot. Their work appears in journals such as Language Resources and Evaluation, ArXiv.org and 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..
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.