Doug Beeferman
- Artificial Intelligence top 2%
- Information Systems top 1%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 10%
- Co-authors
- Adam BergerJohn LaffertyM. MahajanXuedong HuangBrian StropeNabeel GillaniFrançoise BeaufaysJohan Schalkwyk
- Topics
- Speech and dialogue systems (5 papers)Natural Language Processing Techniques (5 papers)Topic Modeling (3 papers)
- 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
- Information Systems 462
- Signal Processing 233
- Computer Vision and Pattern Recognition 199
- Computer Networks and Communications 72
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-authorship network of co-authors of Doug Beeferman
This figure shows the co-authorship network connecting the top 25 collaborators of Doug Beeferman. A scholar is included among the top collaborators of Doug Beeferman 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 Doug Beeferman. Doug Beeferman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 7 | |
| 4 | 4 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 11 | |
| 8 | 7 | |
| 9 | Google Search by Voice: A Case Study | 36 |
| 10 | 52 | |
| 11 | 493 | |
| 12 | 42 | |
| 13 | 434 | |
| 14 | Lexical Discovery with an Enriched Semantic Network. | 16 |
| 15 | 10 | |
| 16 | 54 | |
| 17 | 0 | |
| 18 | From CMU Sphinx-II to Microsoft Whisper: Making Speech Recognition Usable | 2 |
About Doug Beeferman
Doug Beeferman is a scholar working on General Social Sciences, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Speech and dialogue systems (5 papers), Natural Language Processing Techniques (5 papers) and Topic Modeling (3 papers). The work is most often cited by research in Artificial Intelligence (809 citations), Signal Processing (233 citations) and Information Systems (462 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, Johan Schalkwyk, Bill Byrne and Ciprian Chelba. Their work appears in journals such as Educational Researcher, Machine Learning and AERA Open.
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.