Doug Beeferman
Impact in
- Artificial Intelligence top 2%
- Natural Language Processing Techniques
- Topic Modeling
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Speech and dialogue systems
- Signal Processing top 5%
- Data Management and Algorithms
Papers in
-
- Natural Language Processing Techniques 5
- Speech and dialogue systems 5
- Speech Recognition and Synthesis 3
- Topic Modeling 3
- Authorship Attribution and Profiling 2
-
- Opinion Dynamics and Social Influence 3
- Co-authors
- Adam Berger (5 shared papers)John Lafferty (4 shared papers)M. Mahajan (1 shared paper)Xuedong Huang (2 shared papers)Brian Strope (2 shared papers)Nabeel Gillani (3 shared papers)Françoise Beaufays (1 shared paper)Ciprian Chelba (1 shared paper)
- Journals
- AERA Open (1 paper)Machine Learning (1 paper)Educational Researcher (1 paper)Conference of the International Speech Communication Association (1 paper)Proceedings of the International AAAI Conference on Web and Social Media (1 paper)
- Partner nations
- United StatesUnited KingdomLebanon
In The Last Decade
Doug Beeferman
16 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 82
- Artificial Intelligence 809
- Signal Processing 233
- Information Systems 462
- Computer Vision and Pattern Recognition 199
- Statistical and Nonlinear Physics 64
Countries citing papers authored by Doug Beeferman
This map shows the geographic impact of Doug Beeferman'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 Doug Beeferman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Doug Beeferman more than expected).
Fields of papers citing papers by Doug Beeferman
This network shows the impact of papers produced by Doug Beeferman. 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 Doug Beeferman. The network helps show where Doug Beeferman may publish in the future.
Co-authors
The 24 scholars most cited alongside Doug Beeferman, 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 | 2000 | 493 | |
| 2 | 1999 | 434 | |
| 3 | 1997 | 54 | |
| 4 | 2002 | 52 | |
| 5 | 1999 | 42 | |
| 6 | Google Search by Voice: A Case Study | 2010 | 36 |
| 7 | Lexical Discovery with an Enriched Semantic Network. | 1998 | 16 |
| 8 | 2011 | 11 | |
| 9 | 1997 | 10 | |
| 10 | 2023 | 7 | |
| 11 | 2021 | 7 | |
| 12 | 2010 | 7 | |
| 13 | 2023 | 7 | |
| 14 | 2022 | 4 | |
| 15 | From CMU Sphinx-II to Microsoft Whisper: Making Speech Recognition Usable | 1994 | 2 |
| 16 | 2021 | 1 | |
| 17 | 2024 | 0 | |
| 18 | 1996 | 0 |
About Doug Beeferman
Doug Beeferman is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Sociology and Political Science, Information Systems and Signal Processing, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (5 papers), Speech and dialogue systems (5 papers), Opinion Dynamics and Social Influence (3 papers), Speech Recognition and Synthesis (3 papers), Topic Modeling (3 papers), Authorship Attribution and Profiling (2 papers), School Choice and Performance (2 papers) and Computational and Text Analysis Methods (2 papers). The work is most often cited by research in Artificial Intelligence (809 citations), Signal Processing (233 citations), Information Systems (462 citations), Computer Vision and Pattern Recognition (199 citations) and Statistical and Nonlinear Physics (64 citations). Doug Beeferman has collaborated with scholars based in United States, United Kingdom and Lebanon. Frequent co-authors include Adam Berger, John Lafferty, M. Mahajan, Xuedong Huang, Brian Strope, Nabeel Gillani, Françoise Beaufays, Ciprian Chelba, Johan Schalkwyk and Bill Byrne. Their work appears in journals such as AERA Open, Machine Learning, Educational Researcher, Conference of the International Speech Communication Association and Proceedings of the International AAAI Conference on Web and Social Media.
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.