Steven Wegmann
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 5%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Speech and dialogue systems
- Topic Modeling
Papers in
-
- Speech Recognition and Synthesis 16
- Natural Language Processing Techniques 3
- Topic Modeling 2
- Algorithms and Data Compression 1
-
- Speech and Audio Processing 11
- Music and Audio Processing 11
- Blind Source Separation Techniques 1
- Co-authors
- Barbara Peskin (3 shared papers)Larry Gillick (6 shared papers)Puming Zhan (2 shared papers)Nelson Morgan (2 shared papers)Dan Gillick (2 shared papers)Korbinian Riedhammer (1 shared paper)Shuo-Yiin Chang (2 shared papers)Adam Janin (1 shared paper)
- Journals
- Text REtrieval Conference (1 paper)
- Partner nations
- United States
In The Last Decade
Steven Wegmann
17 papers receiving 241 citations
Peers
Comparison fields: 5 of 22
- Signal Processing 227
- Artificial Intelligence 284
- Computer Vision and Pattern Recognition 29
- Experimental and Cognitive Psychology 16
- Speech and Hearing 4
Countries citing papers authored by Steven Wegmann
This map shows the geographic impact of Steven Wegmann'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 Steven Wegmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Wegmann more than expected).
Fields of papers citing papers by Steven Wegmann
This network shows the impact of papers produced by Steven Wegmann. 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 Steven Wegmann. The network helps show where Steven Wegmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Steven Wegmann, 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 | 2002 | 113 | |
| 2 | 2013 | 37 | |
| 3 | 1999 | 30 | |
| 4 | 1999 | 17 | |
| 5 | 2011 | 17 | |
| 6 | INQUERY and TREC-7 | 1998 | 14 |
| 7 | 1999 | 14 | |
| 8 | 2012 | 13 | |
| 9 | 2013 | 12 | |
| 10 | 2014 | 10 | |
| 11 | 2015 | 10 | |
| 12 | 2014 | 7 | |
| 13 | 2014 | 5 | |
| 14 | 2002 | 3 | |
| 15 | 2016 | 3 | |
| 16 | 2016 | 1 | |
| 17 | 2016 | 1 |
About Steven Wegmann
Steven Wegmann is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Infectious Diseases and Organic Chemistry, having authored 17 papers that have together received 307 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (16 papers), Speech and Audio Processing (11 papers), Music and Audio Processing (11 papers), Natural Language Processing Techniques (3 papers), Topic Modeling (2 papers), Blind Source Separation Techniques (1 paper), Advanced Data Compression Techniques (1 paper) and Algorithms and Data Compression (1 paper). The work is most often cited by research in Signal Processing (227 citations), Artificial Intelligence (284 citations), Computer Vision and Pattern Recognition (29 citations), Experimental and Cognitive Psychology (16 citations) and Speech and Hearing (4 citations). Steven Wegmann has collaborated with scholars based in United States. Frequent co-authors include Barbara Peskin, Larry Gillick, Puming Zhan, Nelson Morgan, Dan Gillick, Korbinian Riedhammer, Shuo-Yiin Chang, Adam Janin, Michael Newman and Oriol Vinyals. Their work appears in journals such as Text REtrieval Conference.
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.