Thomas Colthurst

2.4k total citations · 1 hit paper
10 papers, 1.1k citations indexed

About

Thomas Colthurst is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Thomas Colthurst has authored 10 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Signal Processing, 6 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Thomas Colthurst's work include Speech and Audio Processing (6 papers), Speech Recognition and Synthesis (6 papers) and Advanced Data Compression Techniques (4 papers). Thomas Colthurst is often cited by papers focused on Speech and Audio Processing (6 papers), Speech Recognition and Synthesis (6 papers) and Advanced Data Compression Techniques (4 papers). Thomas Colthurst collaborates with scholars based in United States and France. Thomas Colthurst's co-authors include Cory Y. McLean, Scott Schwartz, David H. Alexander, Mark A. DePristo, Sam Gross, Pi-Chuan Chang, Nam V. Nguyen, Pegah Tootoonchi Afshar, Ryan Poplin and Alexander Ku and has published in prestigious journals such as Nature Communications, Nature Biotechnology and IEEE Transactions on Audio Speech and Language Processing.

In The Last Decade

Thomas Colthurst

10 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A universal SNP and small-indel variant caller using deep neural networks

2018 757 citations Ryan Poplin, Pi-Chuan Chang et al. Nature Biotechnology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas Colthurst United States	7	511	365	313	182	147	10	1.1k
Il‐Youp Kwak South Korea	15	419 0.8×	95 0.3×	208 0.7×	80 0.4×	90 0.6×	48	780
James R. Giles United States	21	284 0.6×	131 0.4×	325 1.0×	41 0.2×	92 0.6×	43	1.1k
Alexander Schönhuth Germany	19	1.0k 2.0×	186 0.5×	320 1.0×	29 0.2×	114 0.8×	60	1.3k
Sean Whalen United States	15	606 1.2×	95 0.3×	168 0.5×	55 0.3×	50 0.3×	31	948
Shikhar Sharma United States	16	811 1.6×	197 0.5×	123 0.4×	31 0.2×	142 1.0×	28	1.2k
Son Nguyen Vietnam	12	482 0.9×	70 0.2×	190 0.6×	78 0.4×	110 0.7×	33	980
Loretta Auvil United States	16	387 0.8×	167 0.5×	225 0.7×	46 0.3×	27 0.2×	38	832
Mikel Hernáez United States	14	428 0.8×	274 0.8×	99 0.3×	19 0.1×	96 0.7×	49	724
Xiguo Yuan China	17	622 1.2×	135 0.4×	411 1.3×	16 0.1×	265 1.8×	72	1.0k
Minghua Deng China	19	895 1.8×	157 0.4×	89 0.3×	17 0.1×	151 1.0×	49	1.2k

Countries citing papers authored by Thomas Colthurst

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Colthurst

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Colthurst

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Colthurst. A scholar is included among the top collaborators of Thomas Colthurst 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 Thomas Colthurst. Thomas Colthurst 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.

McCaw, Zachary R., Thomas Colthurst, Taedong Yun, et al.. (2022). DeepNull models non-linear covariate effects to improve phenotypic prediction and association power. Nature Communications. 13(1). 241–241. 18 indexed citations

2.

Poplin, Ryan, Pi-Chuan Chang, David H. Alexander, et al.. (2018). A universal SNP and small-indel variant caller using deep neural networks. Nature Biotechnology. 36(10). 983–987. 757 indexed citations breakdown →

3.

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

4.

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

5.

Matsoukas, Spyros, J.-L. Gauvain, Gilles Adda, et al.. (2006). Advances in transcription of broadcast news and conversational telephone speech within the combined EARS BBN/LIMSI system. IEEE Transactions on Audio Speech and Language Processing. 14(5). 1541–1556. 27 indexed citations

6.

Prasad, Rohit, Spyros Matsoukas, D. Xu, et al.. (2005). The 2004 BBN/LIMSI 20xRT English conversational telephone speech recognition system. 1645–1648. 31 indexed citations

7.

Matsoukas, Spyros, Owen Kimball, Jeff Ma, et al.. (2003). BBN CTS English System. 6 indexed citations

8.

Matsoukas, Spyros, et al.. (2002). The 2001 BYBLOS English large vocabulary conversational speech recognition system. IEEE International Conference on Acoustics Speech and Signal Processing. I–721. 6 indexed citations

9.

Colthurst, Thomas, et al.. (2000). The 2000 BBN Byblos LVCSR system. Conference of the International Speech Communication Association. vol. 2, 1011–1014. 4 indexed citations

10.

Zavaliagkos, G., et al.. (1998). Using untranscribed training data to improve performance. 27 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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