Douglas Sturim
- Artificial Intelligence top 0.5%
- Signal Processing top 0.5%
- Computer Vision and Pattern Recognition top 5%
- Experimental and Cognitive Psychology top 10%
- Cognitive Neuroscience
- Co-authors
- D.A. ReynoldsWilliam M. CampbellThomas F. QuatieriPedro A. Torres‐CarrasquilloAlan McCreeElliot SingerDouglas A. ReynoldsJoseph P. Campbell
- Topics
- Speech Recognition and Synthesis (31 papers)Speech and Audio Processing (24 papers)Music and Audio Processing (16 papers)
- Partner nations
- United States
In The Last Decade
Douglas Sturim
35 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Artificial Intelligence 1.4k
- Signal Processing 1.4k
- Computer Vision and Pattern Recognition 209
- Experimental and Cognitive Psychology 115
- Cognitive Neuroscience 73
Countries citing papers authored by Douglas Sturim
This map shows the geographic impact of Douglas Sturim'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 Douglas Sturim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Douglas Sturim more than expected).
Fields of papers citing papers by Douglas Sturim
This network shows the impact of papers produced by Douglas Sturim. 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 Douglas Sturim. The network helps show where Douglas Sturim may publish in the future.
Co-authorship network of co-authors of Douglas Sturim
This figure shows the co-authorship network connecting the top 25 collaborators of Douglas Sturim. A scholar is included among the top collaborators of Douglas Sturim 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 Douglas Sturim. Douglas Sturim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 14 | |
| 3 | 9 | |
| 4 | MITLL 2015 Language Recognition Evaluation System Description | 2 |
| 5 | 7 | |
| 6 | 7 | |
| 7 | The MITLL NIST LRE 2011 language recognition system. | 32 |
| 8 | Exploring the impact of advanced front-end processing on NIST speaker recognition microphone tasks. | 3 |
| 9 | 10 | |
| 10 | Speaker Comparison with Inner Product Discriminant Functions | 11 |
| 11 | 34 | |
| 12 | 17 | |
| 13 | 17 | |
| 14 | 30 | |
| 15 | 26 | |
| 16 | 68 | |
| 17 | Support vector machines using GMM supervectors for speaker verificationbreakdown → | 673 |
| 18 | 3 | |
| 19 | 0 | |
| 20 | 52 |
About Douglas Sturim
Douglas Sturim is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 39 papers that have together received 1.7k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (31 papers), Speech and Audio Processing (24 papers) and Music and Audio Processing (16 papers). The work is most often cited by research in Signal Processing (1.4k citations), Artificial Intelligence (1.4k citations) and Computer Vision and Pattern Recognition (209 citations). Douglas Sturim has collaborated with scholars based in United States. Frequent co-authors include D.A. Reynolds, William M. Campbell, Thomas F. Quatieri, Pedro A. Torres‐Carrasquillo, Alan McCree, Elliot Singer, Douglas A. Reynolds, Joseph P. Campbell, R.B. Dunn and Fred Richardson. Their work appears in journals such as IEEE Access, Journal of Speech Language and Hearing Research and IEEE Signal Processing Letters.
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.