Scott Cyphers
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Speech and dialogue systems
- Speech Recognition and Synthesis
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Sentiment Analysis and Opinion Mining
- Signal Processing top 10%
- Music and Audio Processing
Papers in
-
- Speech and dialogue systems 10
- Natural Language Processing Techniques 8
- Topic Modeling 8
- Multi-Agent Systems and Negotiation 2
- Advanced Text Analysis Techniques 1
- AI in Service Interactions 1
-
- Expert finding and Q&A systems 2
- Co-authors
- James Glass (8 shared papers)Panupong Pasupat (4 shared papers)Jun Liu (4 shared papers)Jim Glass (4 shared papers)David Huynh (1 shared paper)Igor Malioutov (1 shared paper)Timothy J. Hazen (1 shared paper)Regina Barzilay (1 shared paper)
- Journals
- Institutional Research Information System (Università degli Studi di Trento) (1 paper)Meeting of the Association for Computational Linguistics (1 paper)
- Partner nations
- United StatesEgyptIsrael
In The Last Decade
Scott Cyphers
12 papers receiving 310 citations
Peers
Comparison fields: 5 of 39
- Artificial Intelligence 321
- Signal Processing 59
- Information Systems 54
- Computer Vision and Pattern Recognition 43
- Computer Science Applications 11
Countries citing papers authored by Scott Cyphers
This map shows the geographic impact of Scott Cyphers'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 Scott Cyphers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Cyphers more than expected).
Fields of papers citing papers by Scott Cyphers
This network shows the impact of papers produced by Scott Cyphers. 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 Scott Cyphers. The network helps show where Scott Cyphers may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott Cyphers, 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 | 2007 | 114 | |
| 2 | 2013 | 58 | |
| 3 | 2013 | 42 | |
| 4 | 2015 | 28 | |
| 5 | 2012 | 25 | |
| 6 | 2015 | 23 | |
| 7 | 2016 | 22 | |
| 8 | 2012 | 15 | |
| 9 | 2014 | 15 | |
| 10 | 2010 | 7 | |
| 11 | A Multimodal Home Entertainment Interface via a Mobile Device | 2008 | 5 |
| 12 | A Study of using Syntactic and Semantic Structures for Concept Segmentation and Labeling | 2014 | 3 |
| 13 | A FRAMEWORK FOR DEVELOPING CONVER- SATIONAL USER INTERFACES | 2005 | 0 |
About Scott Cyphers
Scott Cyphers is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Social Psychology and Control and Systems Engineering, having authored 13 papers that have together received 357 indexed citations. Recurring topics across this work include Speech and dialogue systems (10 papers), Natural Language Processing Techniques (8 papers), Topic Modeling (8 papers), Expert finding and Q&A systems (2 papers), Multi-Agent Systems and Negotiation (2 papers), Video Analysis and Summarization (2 papers), Advanced Text Analysis Techniques (1 paper) and AI in Service Interactions (1 paper). The work is most often cited by research in Artificial Intelligence (321 citations), Signal Processing (59 citations), Information Systems (54 citations), Computer Vision and Pattern Recognition (43 citations) and Computer Science Applications (11 citations). Scott Cyphers has collaborated with scholars based in United States, Egypt and Israel. Frequent co-authors include James Glass, Panupong Pasupat, Jun Liu, Jim Glass, David Huynh, Igor Malioutov, Timothy J. Hazen, Regina Barzilay, Mitra Mohtarami and Yonatan Belinkov. Their work appears in journals such as Institutional Research Information System (Università degli Studi di Trento) and Meeting of the Association for Computational Linguistics.
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.