Spyros Matsoukas

72 papers receiving 1.3k citations

Peers

Spyros Matsoukas
Comparison fields: 5 of 92
  • Artificial Intelligence 1.4k
  • Signal Processing 647
  • Computer Vision and Pattern Recognition 174
  • Information Systems 66
  • Experimental and Cognitive Psychology 46
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Countries citing papers authored by Spyros Matsoukas

Since Specialization
Citations

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

Fields of papers citing papers by Spyros Matsoukas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Spyros Matsoukas

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 16
3 6
4 89
5
Systematic Comparison of Professional and Crowdsourced Reference Translations for Machine Translation
7
6
Machine Translation of Arabic Dialects
121
7
Review of Hypothesis Alignment Algorithms for MT System Combination via Confusion Network Decoding
3
8
Trait-Based Hypothesis Selection For Machine Translation
9
9
System Combination Using Discriminative Cross-Adaptation
2
10
BBN's Systems for the Chinese-English Sub-task of the NTCIR-10 PatentMT Evaluation.
8
11
Expected BLEU Training for Graphs: BBN System Description for WMT11 System Combination Task
16
12
Statistical Machine Translation with a Factorized Grammar
2
13
Decision Trees for Lexical Smoothing in Statistical Machine Translation
5
14
BBN System Description for WMT10 System Combination Task
21
15
Improved Word-Level System Combination for Machine Translation
86
16
Combining Outputs from Multiple Machine Translation Systems
114
17
The 2004 BBN/LIMSI 10xRT English Broadcast News Transcription System
10
18
The 1998 BBN BYBLOS Primary System applied to English and Spanish Broadcast News Transcription
2
19 4
20 7

About Spyros Matsoukas

Spyros Matsoukas is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 76 papers that have together received 1.6k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (40 papers), Natural Language Processing Techniques (32 papers) and Speech and Audio Processing (31 papers). The work is most often cited by research in Signal Processing (647 citations), Artificial Intelligence (1.4k citations) and Computer Vision and Pattern Recognition (174 citations). Spyros Matsoukas has collaborated with scholars based in United States, Germany and Czechia. Frequent co-authors include Richard Schwartz, Antti-Veikko Rosti, Ming Sun, Bing Zhang, Bing Zhang, John Makhoul, Long Nguyen, Björn Hoffmeister, Shiv Vitaladevuni and Arindam Mandal. Their work appears in journals such as IEEE/ACM Transactions on Networking, IEEE Transactions on Audio Speech and Language Processing and Speech Communication.

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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