Steven Wegmann

438 total citations
17 papers, 307 citations indexed

About

Steven Wegmann is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Steven Wegmann has authored 17 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 13 papers in Signal Processing and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Steven Wegmann's work include Speech Recognition and Synthesis (16 papers), Speech and Audio Processing (11 papers) and Music and Audio Processing (11 papers). Steven Wegmann is often cited by papers focused on Speech Recognition and Synthesis (16 papers), Speech and Audio Processing (11 papers) and Music and Audio Processing (11 papers). Steven Wegmann collaborates with scholars based in United States. Steven Wegmann's 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 and has published in prestigious journals such as Text REtrieval Conference.

In The Last Decade

Steven Wegmann

17 papers receiving 241 citations

Peers

Steven Wegmann
Comparison fields: 5 of 22
  • Artificial Intelligence 284
  • Signal Processing 227
  • Computer Vision and Pattern Recognition 29
  • Experimental and Cognitive Psychology 16
  • Information Systems 7
Replace Vitaliy Liptchinsky with:
Vitaliy Liptchinsky Austria
Olli Viikki Finland
Xu Xiang China
K.M. Knill United Kingdom
Jacob Kahn Israel
Siddharth Dalmia United States
Stephan Kanthak Germany
B.A. Carlson United States
Venkata Ramana Rao Gadde United States
Yatharth Saraf United States
Vitaliy Liptchinsky Austria View profile →
Citations per field, relative to Steven Wegmann
Steven Wegmann · 1×
Citations per year, relative to Steven Wegmann
Steven Wegmann · 1×

Countries citing papers authored by Steven Wegmann

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Steven Wegmann

This figure shows the co-authorship network connecting the top 25 collaborators of Steven Wegmann. A scholar is included among the top collaborators of Steven Wegmann 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 Steven Wegmann. Steven Wegmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
# Work Indexed citations
1 3
2 1
3 1
4 10
5 10
6 5
7 7
8 12
9 37
10 13
11 17
12 3
13 113
14 14
15 30
16 17
17
INQUERY and TREC-7
14

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026