Doug Beeferman

2.3k citations
22 papers · 1.6k · 2 hit papers · h-index 10

Impact in

    • Data Management and Algorithms
    • Natural Language Processing Techniques
    • Topic Modeling
    • Speech Recognition and Synthesis
    • Advanced Text Analysis Techniques
    • Speech and dialogue systems

Papers in

Doug Beeferman

20 papers receiving 1.4k citations

Doug Beeferman's Hit Papers

Agglomerative clustering of a search engine query log 2000 · 594 citations
5940+9+18Years since publication100200300400500

Peers

Doug Beeferman
Comparison fields: 5 of 90
  • Signal Processing 360
  • Artificial Intelligence 1.1k
  • Information Systems 574
  • Computer Vision and Pattern Recognition 256
  • Statistical and Nonlinear Physics 80
Replace Douglass R. Cutting with:
Douglass R. Cutting United States
Mohand Boughanem France
George Mohay Australia
Steven M. Beitzel United States
Ye‐Yi Wang United States
Arbee L. P. Chen Taiwan
Donghong Ji China
Gerald Salton United States
Eva Zangerle Austria
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Countries citing papers authored by Doug Beeferman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 25 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.

Border = papers with Doug Beeferman Line = papers co-authored together Doug Beeferman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Agglomerative clustering of a search engine query log
Hit paper breakdown →
2000594
2
Statistical Models for Text Segmentation
Hit paper breakdown →
1999503
3 2010170
4 199760
5 200260
6
Google Search by Voice: A Case Study
201050
7 199944
8
Lexical Discovery with an Enriched Semantic Network.
199820
9 199712
10 201112
11 20239
12 20109
13 20218
14 20238
15 20225
16
Agglomerative clustering of s earch engine query log
20002
17
From CMU Sphinx-II to Microsoft Whisper: Making Speech Recognition Usable
19942
18 20241
19 19961
20 20251

About Doug Beeferman

Doug Beeferman is a scholar working on Artificial Intelligence, Information Systems, Statistical and Nonlinear Physics, Sociology and Political Science and Signal Processing, having authored 22 papers that have together received 1.6k indexed citations. Recurring topics across this work include Speech and dialogue systems (6 papers), Natural Language Processing Techniques (6 papers), Topic Modeling (4 papers), Speech Recognition and Synthesis (3 papers), Opinion Dynamics and Social Influence (3 papers), Data Mining Algorithms and Applications (2 papers), Computational and Text Analysis Methods (2 papers) and School Choice and Performance (2 papers). The work is most often cited by research in Signal Processing (360 citations), Artificial Intelligence (1.1k citations), Information Systems (574 citations), Computer Vision and Pattern Recognition (256 citations) and Statistical and Nonlinear Physics (80 citations). Doug Beeferman has collaborated with scholars based in United States, Lebanon and United Kingdom. Frequent co-authors include Adam Berger, John Lafferty, Brian Strope, Bill Byrne, Ciprian Chelba, Johan Schalkwyk, Françoise Beaufays, Mike Cohen, Maryam Kamvar and Xuedong Huang. Their work appears in journals such as AERA Open, Educational Researcher, Machine Learning, Conference of the International Speech Communication Association and International Conference on 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.

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