Terry Gleason

660 total citations
10 papers, 493 citations indexed

About

Terry Gleason is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Terry Gleason has authored 10 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Signal Processing and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Terry Gleason's work include Speech Recognition and Synthesis (9 papers), Natural Language Processing Techniques (6 papers) and Speech and Audio Processing (5 papers). Terry Gleason is often cited by papers focused on Speech Recognition and Synthesis (9 papers), Natural Language Processing Techniques (6 papers) and Speech and Audio Processing (5 papers). Terry Gleason collaborates with scholars based in United States. Terry Gleason's co-authors include Douglas A. Reynolds, Pedro A. Torres‐Carrasquillo, William M. Campbell, Elliot Singer, Wade Shen, M.A. Zissman, Joseph P. Campbell, Fred Richardson, Douglas Sturim and Alan McCree and has published in prestigious journals such as IEEE Transactions on Audio Speech and Language Processing.

In The Last Decade

Terry Gleason

10 papers receiving 447 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Terry Gleason United States	9	473	369	55	29	9	10	493
G. Zavaliagkos United States	13	459 1.0×	322 0.9×	54 1.0×	51 1.8×	3 0.3×	31	487
John Butzberger United States	12	447 0.9×	212 0.6×	43 0.8×	49 1.7×	5 0.6×	16	490
M.A. Kohler United States	8	472 1.0×	419 1.1×	42 0.8×	59 2.0×	3 0.3×	19	522
Yatharth Saraf United States	9	385 0.8×	225 0.6×	23 0.4×	57 2.0×	4 0.4×	17	459
David Imseng Switzerland	15	493 1.0×	393 1.1×	37 0.7×	15 0.5×	4 0.4×	37	524
Daniel Willett Germany	13	367 0.8×	209 0.6×	26 0.5×	60 2.1×	3 0.3×	40	419
Ren-Yuan Lyu Taiwan	9	270 0.6×	160 0.4×	34 0.6×	34 1.2×	17 1.9×	44	308
Daben Liu United States	8	323 0.7×	239 0.6×	24 0.4×	89 3.1×	3 0.3×	19	390
N. Dixon United States	10	249 0.5×	199 0.5×	78 1.4×	30 1.0×	3 0.3×	28	283
Jean-Pierre Tubach France	5	263 0.6×	259 0.7×	41 0.7×	64 2.2×	2 0.2×	13	293

Countries citing papers authored by Terry Gleason

Since Specialization

Citations

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

Fields of papers citing papers by Terry Gleason

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Terry Gleason

This figure shows the co-authorship network connecting the top 25 collaborators of Terry Gleason. A scholar is included among the top collaborators of Terry Gleason 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 Terry Gleason. Terry Gleason 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:

10 of 10 papers shown

1.

Torres‐Carrasquillo, Pedro A., Elliot Singer, Terry Gleason, et al.. (2010). The MITLL NIST LRE 2009 language recognition system. 4994–4997. 39 indexed citations

2.

Torres‐Carrasquillo, Pedro A., Elliot Singer, William M. Campbell, et al.. (2008). The MITLL NIST LRE 2007 language recognition system. 719–722. 34 indexed citations

3.

Campbell, William M., Joseph P. Campbell, Terry Gleason, Douglas A. Reynolds, & Wade Shen. (2007). Speaker Verification Using Support Vector Machines and High-Level Features. IEEE Transactions on Audio Speech and Language Processing. 15(7). 2085–2094. 53 indexed citations

4.

Campbell, William M., Terry Gleason, Jiří Navrátil, et al.. (2006). Advanced Language Recognition using Cepstra and Phonotactics: MITLL System Performance on the NIST 2005 Language Recognition Evaluation. 1–8. 30 indexed citations

5.

Shen, Wade, William M. Campbell, Terry Gleason, D.A. Reynolds, & Elliot Singer. (2006). Experiments with Lattice-based PPRLM Language Identification. 1–6. 32 indexed citations

6.

Torres‐Carrasquillo, Pedro A., Terry Gleason, & Douglas A. Reynolds. (2004). Dialect identification using Gaussian mixture models.. 297–300. 61 indexed citations

7.

Singer, Elliot, Pedro A. Torres‐Carrasquillo, Terry Gleason, William M. Campbell, & Douglas A. Reynolds. (2003). Acoustic, phonetic, and discriminative approaches to automatic language identification. 1345–1348. 116 indexed citations

8.

Zissman, M.A., et al.. (2002). Automatic dialect identification of extemporaneous conversational, Latin American Spanish speech. 2. 777–780. 60 indexed citations

9.

Gleason, Terry & M.A. Zissman. (2002). Composite background models and score standardization for language identification systems. 1. 529–532. 7 indexed citations

10.

Reynolds, Douglas A., et al.. (1999). A study of computation speed-UPS of the GMM-UBM speaker recognition system. 61 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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