Bryan Pellom

2.5k citations
61 papers · 1.7k indexed · h-index 25

Bryan Pellom

61 papers receiving 1.5k citations

Peers

Bryan Pellom
Comparison fields: 5 of 69
  • Signal Processing 785
  • Artificial Intelligence 1.2k
  • Experimental and Cognitive Psychology 170
  • Computer Vision and Pattern Recognition 220
  • Social Psychology 211
Replace Isabel Trancoso with:
Isabel Trancoso Portugal
E. Shriberg United States
Victor W. Zue United States
Engin Erzin Türkiye
Tetsunori Kobayashi Japan
Thomas Hain United Kingdom
Lori Lamel France
Dimitra Vergyri United States
Seiichi Nakagawa Japan
Nobuaki Minematsu Japan
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Citations per field
00.5×1.5×
Isabel Trancoso · 1×
Citations per year

Countries citing papers authored by Bryan Pellom

Since Specialization
Citations

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

Fields of papers citing papers by Bryan Pellom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Bryan Pellom, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bryan Pellom Line = papers co-authored together Bryan Pellom links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20113
2 20107
3 200762
4 200634
5 2005105
6 200514
7
Accurate automatic visible speech synthesis of arbitrary 3D models based on concatenation of diviseme motion capture data: Research Articles
200423
8 200425
9 200310
10
Word Splitting for Turkish LVCSR
20032
11 200226
12 20024
13
CU-move": Analysis & corpus development for interactive in-vehicle speech systems
200121
14 200173
15 200024
16
The Cu Communicator System
199936
17 199947
18 1998226
19 199834
20 199849

About Bryan Pellom

Bryan Pellom is a scholar working on Signal Processing, Artificial Intelligence, Human Factors and Ergonomics, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology, having authored 61 papers that have together received 1.7k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (38 papers), Speech and Audio Processing (32 papers), Speech and dialogue systems (21 papers), Music and Audio Processing (15 papers), Natural Language Processing Techniques (13 papers), Multi-Agent Systems and Negotiation (4 papers), Advanced Adaptive Filtering Techniques (4 papers) and Advanced Data Compression Techniques (4 papers). The work is most often cited by research in Signal Processing (785 citations), Artificial Intelligence (1.2k citations), Experimental and Cognitive Psychology (170 citations), Computer Vision and Pattern Recognition (220 citations) and Social Psychology (211 citations). Bryan Pellom has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include John H. L. Hansen, Ronald A. Cole, Wayne Ward, Kadri Hacıoğlu, Vesa Siivola, Tolga Çiloğlu, Ruhi Sarikaya, Sameer Pradhan, Jiyong Ma and Barbara Wise. Their work appears in journals such as Speech Communication, IEEE Signal Processing Letters, IEEE Transactions on Visualization and Computer Graphics, Computer Standards & Interfaces and IEEE Transactions on Speech and Audio Processing.

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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