Stephen A. Lowe

438 total citations
10 papers, 332 citations indexed

About

Stephen A. Lowe is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Stephen A. Lowe has authored 10 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Signal Processing and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Stephen A. Lowe's work include Speech Recognition and Synthesis (7 papers), Speech and Audio Processing (4 papers) and Speech and dialogue systems (2 papers). Stephen A. Lowe is often cited by papers focused on Speech Recognition and Synthesis (7 papers), Speech and Audio Processing (4 papers) and Speech and dialogue systems (2 papers). Stephen A. Lowe collaborates with scholars based in United States. Stephen A. Lowe's co-authors include Richard Schwartz, David R. Miller, Chia-Lin Kao, Thomas Colthurst, Owen Kimball, H. Gish, Barbara Peskin, Larry Gillick, James Baker and Shosuke Ito and has published in prestigious journals such as Annals of the New York Academy of Sciences and IEEE International Conference on Acoustics Speech and Signal Processing.

In The Last Decade

Stephen A. Lowe

10 papers receiving 266 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Stephen A. Lowe United States	8	306	180	29	16	11	10	332
Steven Wegmann United States	11	284 0.9×	227 1.3×	29 1.0×	16 1.0×	7 0.6×	17	307
Xu Xiang China	7	203 0.7×	170 0.9×	29 1.0×	10 0.6×	10 0.9×	22	246
K.M. Knill United Kingdom	10	359 1.2×	206 1.1×	48 1.7×	24 1.5×	8 0.7×	30	378
Yifan Peng United States	11	242 0.8×	95 0.5×	24 0.8×	10 0.6×	8 0.7×	48	305
Jean-Paul Haton France	8	214 0.7×	118 0.7×	82 2.8×	24 1.5×	6 0.5×	49	259
Mahsa Yarmohammadi United States	6	307 1.0×	174 1.0×	27 0.9×	17 1.1×	7 0.6×	14	334
Stephan Kanthak Germany	13	439 1.4×	183 1.0×	37 1.3×	20 1.3×	6 0.5×	20	454
Stephen Shum United States	9	407 1.3×	377 2.1×	34 1.2×	11 0.7×	5 0.5×	15	440
Yen-Lu Chow United States	7	171 0.6×	59 0.3×	23 0.8×	8 0.5×	16 1.5×	10	184
B.A. Carlson United States	8	290 0.9×	275 1.5×	31 1.1×	7 0.4×	17 1.5×	14	324

Countries citing papers authored by Stephen A. Lowe

Since Specialization

Citations

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

Fields of papers citing papers by Stephen A. Lowe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen A. Lowe. 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 Stephen A. Lowe. The network helps show where Stephen A. Lowe may publish in the future.

Co-authorship network of co-authors of Stephen A. Lowe

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

All Works

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10 of 10 papers shown

1.

Miller, David R., Chia-Lin Kao, Owen Kimball, et al.. (2007). Rapid and accurate spoken term detection. 314–317. 191 indexed citations

2.

Colthurst, Thomas, et al.. (2007). Parameter tuning for fast speech recognition. 1477–1480. 4 indexed citations

3.

Peskin, Barbara, et al.. (2002). Improvements in switchboard recognition and topic identification. 1. 303–306. 18 indexed citations

4.

Lowe, Stephen A.. (1999). The beta-binomial mixture model for word frequencies in documents with applications to information retrieval. 2443–2446. 8 indexed citations

5.

Lowe, Stephen A.. (1999). The beta-binomial mixture model for word frequencies in documents with applications to information retrieval. 2443–2446. 35 indexed citations

6.

Roth, Robert, James Baker, Janet Baker, et al.. (1993). Large vocabulary continuous speech recognition of Wall Street Journal data. 640–643 vol.2. 14 indexed citations

7.

Peskin, Barbara, Melvyn J. Hunt, Larry Gillick, et al.. (1993). Topic and speaker identification via large vocabulary continuous speech recognition. 119–119. 16 indexed citations

8.

Gillick, Larry, James Baker, Jon R. Bridle, et al.. (1993). Application of large vocabulary continuous speech recognition to topic and speaker identification using telephone speech. IEEE International Conference on Acoustics Speech and Signal Processing. 471–474 vol.2. 31 indexed citations

9.

Baker, James, Barbara Peskin, Robert Roth, et al.. (1992). Large vocabulary recognition of Wall Street Journal sentences at Dragon Systems. 387–387. 10 indexed citations

10.

Roberts, William W., Stephen A. Lowe, & David Adler. (1990). Simulations of Cloudy, Gaseous Galactic Disksa. Annals of the New York Academy of Sciences. 596(1). 130–144. 5 indexed citations

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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