Steve Lowe

402 total citations
11 papers, 237 citations indexed

About

Steve Lowe is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Steve Lowe has authored 11 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Signal Processing and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Steve Lowe's work include Speech Recognition and Synthesis (9 papers), Natural Language Processing Techniques (6 papers) and Music and Audio Processing (4 papers). Steve Lowe is often cited by papers focused on Speech Recognition and Synthesis (9 papers), Natural Language Processing Techniques (6 papers) and Music and Audio Processing (4 papers). Steve Lowe collaborates with scholars based in United States. Steve Lowe's co-authors include Paul van Mulbregt, Man-Hung Siu, H. Gish, Larry Gillick, Shosuke Ito, Michael Newman, Timothy J. Hazen, Barbara Peskin, Mark A. Mandel and Guoming Gao and has published in prestigious journals such as IEEE Sensors Journal and Computer Speech & Language.

In The Last Decade

Steve Lowe

11 papers receiving 204 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Steve Lowe United States	8	217	94	36	31	10	11	237
Yen-Lu Chow United States	7	171 0.8×	59 0.6×	23 0.6×	16 0.5×	8 0.8×	10	184
S.F. Chen United States	6	276 1.3×	71 0.8×	25 0.7×	8 0.3×	7 0.7×	8	304
Tomoyosi Akiba Japan	8	230 1.1×	67 0.7×	24 0.7×	27 0.9×	6 0.6×	55	248
Didier Schwab France	10	194 0.9×	26 0.3×	15 0.4×	23 0.7×	8 0.8×	49	221
Vesa Siivola Finland	10	442 2.0×	85 0.9×	17 0.5×	15 0.5×	18 1.8×	14	466
Sabine Deligne United States	10	286 1.3×	192 2.0×	47 1.3×	13 0.4×	9 0.9×	23	370
David Suendermann Germany	8	166 0.8×	63 0.7×	22 0.6×	12 0.4×	18 1.8×	22	203
Mickaël Rouvier France	8	172 0.8×	136 1.4×	68 1.9×	9 0.3×	5 0.5×	32	232
Ciro Martins Portugal	8	216 1.0×	146 1.6×	25 0.7×	20 0.6×	12 1.2×	26	276
B.A. Carlson United States	8	290 1.3×	275 2.9×	31 0.9×	17 0.5×	7 0.7×	14	324

Countries citing papers authored by Steve Lowe

Since Specialization

Citations

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

Fields of papers citing papers by Steve Lowe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steve Lowe

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Lowe, Steve, et al.. (2024). Noninvasive Blood Glucose Measurement Using RF Spectroscopy and a LightGBM AI Model. IEEE Sensors Journal. 24(17). 28049–28055. 1 indexed citations

2.

Siu, Man-Hung, et al.. (2013). Unsupervised training of an HMM-based self-organizing unit recognizer with applications to topic classification and keyword discovery. Computer Speech & Language. 28(1). 210–223. 50 indexed citations

3.

Siu, Man-Hung, et al.. (2012). MLLR transforms of self-organized units as features in speaker recognition. 4385–4388. 2 indexed citations

4.

Siu, Man-Hung, et al.. (2011). Unsupervised audio patterns discovery using HMM-based self-organized units. 2333–2336. 14 indexed citations

5.

Hazen, Timothy J., et al.. (2011). Topic modeling for spoken documents using only phonetic information. 395–400. 10 indexed citations

6.

Gillick, Larry, et al.. (2002). Automatic language identification using large vocabulary continuous speech recognition. 2. 785–788. 16 indexed citations

7.

Lowe, Steve, et al.. (2002). Event tracking and text segmentation via hidden Markov models. 519–526. 9 indexed citations

8.

Gao, Guoming, et al.. (2002). Multilingual speech recognition at Dragon Systems. 4. 2191–2194. 7 indexed citations

9.

Lowe, Steve, et al.. (2002). A hidden Markov model approach to text segmentation and event tracking. 1. 333–336. 68 indexed citations

10.

Mulbregt, Paul van, et al.. (1998). Text segmentation and topic tracking on broadcast news via a hidden Markov model approach. paper 0116–0. 53 indexed citations

11.

Lowe, Steve, et al.. (1994). Language identification via large vocabulary speaker independent continuous speech recognition. 437–437. 7 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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