Carlos Busso: h-index, Total Citations, and Citation Map
Carlos Busso's h-index is 61 (199 i10-index, 21,849+ total citations across 331+ publications) according to Google Scholar as of July 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 21,849 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Carlos Busso's Citation Metrics
Bibliometric impact based on 331 indexed publications.
- H-Index
- 61
- i10-Index
- 199
- Total Citations
- 21,849
- Citing Countries
- 70
As of July 2026.
Carlos Busso has an h-index of 61 and 21,849 total citations across 331 publications, with research cited by institutions in 70 countries.
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We've mapped 5,000 of 21,849 citations for Carlos Busso
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IEMOCAP: Interactive emotional dyadic motion capture database
20085,687
Top Citing Countries
Top Citing Institutions
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.
813 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher pioneered multimodal emotion recognition frameworks and established foundational interactive dyadic datasets, significantly advancing the field of affective computing through highly cited, independent scholarly adoption.
The researcher established a foundational framework for acoustic emotion recognition, later refined into the widely adopted GeMAPS standard, significantly advancing affective computing methodologies.
The researcher established a foundational framework for emotion perception research by creating acted dyadic interaction corpora and extending this work to naturalistic, noise-robust speech emotion recognition systems.
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 21,849 times across 331 publications (h-index 61), 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 United States, China and Germany, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
