Carlos Busso: h-index, Total Citations, and Citation Map
Carlos Busso's h-index is 60 (196 i10-index, 21,737+ total citations across 331+ publications) according to Google Scholar as of June 2026. Carlos Busso is affiliated with Professor of Language Technologies Institute, Carnegie Mellon University.
Carlos Busso is a researcher affiliated with Professor of Language Technologies Institute, Carnegie Mellon University, specializing in Affective computing, Speech Processing, Multimodal Interaction. Their work has been cited 21,737 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Carlos Busso's Citation Metrics
Bibliometric impact based on 331 indexed publications.
- H-Index
- 60
- i10-Index
- 196
- Total Citations
- 21,737
- Citing Countries
- 43
As of June 2026.
Carlos Busso has an h-index of 60 and 21,737 total citations across 331 publications, with research cited by institutions in 43 countries.
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IEMOCAP: Interactive emotional dyadic motion capture database
20085,687
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Visa Evidence Package
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Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
The researcher pioneered multimodal emotion recognition frameworks and established the IEMOCAP database, creating foundational resources that standardized the field's approach to interactive emotional data.
The researcher developed a hierarchical binary decision tree approach for emotion recognition, establishing a foundational method in speech communication that has garnered significant independent scholarly attention.
The researcher established a standardized, minimalistic acoustic parameter set (GeMAPS) that has become a foundational benchmark for voice research and affective computing.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Carlos Busso's research
Carlos Busso is a researcher in Affective computing, Speech Processing and Multimodal Interaction at Professor of Language Technologies Institute, Carnegie Mellon University. Their work has been cited 21,737 times across 331 publications (h-index 60), according to Google Scholar.
Their most-cited work, “IEMOCAP: Interactive emotional dyadic motion capture database” (2008), has accumulated 5,687 citations. Other influential works include “The Geneva minimalistic acoustic parameter set (GeMAPS) for voice research and affective computing” (2015) with 2,521 citations and “Analysis of emotion recognition using facial expressions, speech and multimodal information” (2004) with 1,298 citations.
Citations of Carlos Busso's research come primarily from China, United States and India, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
