Steven Fincke

479 total citations
9 papers, 251 citations indexed

About

Steven Fincke is a scholar working on Artificial Intelligence, Signal Processing and Information Systems. According to data from OpenAlex, Steven Fincke has authored 9 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Signal Processing and 1 paper in Information Systems. Recurrent topics in Steven Fincke's work include Speech and Audio Processing (2 papers), Music and Audio Processing (2 papers) and Natural Language Processing Techniques (2 papers). Steven Fincke is often cited by papers focused on Speech and Audio Processing (2 papers), Music and Audio Processing (2 papers) and Natural Language Processing Techniques (2 papers). Steven Fincke collaborates with scholars based in United States, Japan and Iran. Steven Fincke's co-authors include J.-C. Junqua, Roland Kühn, Jean-Claude Junqua, Nancy Niedzielski, Patrick Nguyen, S.L. Miller, Elizabeth Boschee, P. Nguyen, Kevin G. Field and Makoto Hayashi and has published in prestigious journals such as Studies in Language, Proceedings of the AAAI Conference on Artificial Intelligence and Proceedings of the Annual Meeting of the Berkeley Linguistics Society.

In The Last Decade

Steven Fincke

9 papers receiving 220 citations

Peers

Steven Fincke
Comparison fields: 5 of 36
  • Artificial Intelligence 190
  • Signal Processing 171
  • Experimental and Cognitive Psychology 52
  • Cognitive Neuroscience 30
  • Computer Vision and Pattern Recognition 22
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Georg Stemmer Germany
Lorenzo Fissore
C. Ris Belgium
Hynek Bořil United States
Tamás Gábor Csapó Hungary
Axel Röebel France
Sarah Borys United States
Irina Illina France
Thomas C. Walters United Kingdom
Nicolas d’Alessandro Belgium
Georg Stemmer Germany View profile →
Citations per field, relative to Steven Fincke
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Citations per year, relative to Steven Fincke
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Countries citing papers authored by Steven Fincke

Since Specialization
Citations

This map shows the geographic impact of Steven Fincke'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 Fincke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Fincke more than expected).

Fields of papers citing papers by Steven Fincke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven Fincke. 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 Fincke. The network helps show where Steven Fincke may publish in the future.

Co-authorship network of co-authors of Steven Fincke

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

All Works

9 of 9 papers shown
# Work Indexed citations
1 1
2 18
3 3
4 13
5 20
6 74
7 17
8 104
9 1

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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