Brian Pianfetti

404 total citations
4 papers, 237 citations indexed

About

Brian Pianfetti is a scholar working on Experimental and Cognitive Psychology, Social Psychology and Signal Processing. According to data from OpenAlex, Brian Pianfetti has authored 4 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Experimental and Cognitive Psychology, 2 papers in Social Psychology and 2 papers in Signal Processing. Recurrent topics in Brian Pianfetti's work include Emotion and Mood Recognition (4 papers), Multisensory perception and integration (3 papers) and Speech and Audio Processing (2 papers). Brian Pianfetti is often cited by papers focused on Emotion and Mood Recognition (4 papers), Multisensory perception and integration (3 papers) and Speech and Audio Processing (2 papers). Brian Pianfetti collaborates with scholars based in United States. Brian Pianfetti's co-authors include Thomas S. Huang, Zhihong Zeng, Jilin Tu, S. Levinson, Dan Roth, Ming Liu, Zhang Zhen-qiu, Tong Zhang and Zhengyou Zhang and has published in prestigious journals such as IEEE Transactions on Multimedia and Rare & Special e-Zone (The Hong Kong University of Science and Technology).

In The Last Decade

Brian Pianfetti

4 papers receiving 227 citations

Peers

Brian Pianfetti
Robert Walecki United Kingdom
Cate Cox United Kingdom
Wen-Li Wei Taiwan
Dario Bertero Hong Kong
Yiqin Zhao United States
Robert Walecki United Kingdom
Brian Pianfetti
Citations per year, relative to Brian Pianfetti Brian Pianfetti (= 1×) peers Robert Walecki

Countries citing papers authored by Brian Pianfetti

Since Specialization
Citations

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

Fields of papers citing papers by Brian Pianfetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Pianfetti

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

All Works

4 of 4 papers shown
1.
Zeng, Zhihong, Jilin Tu, Brian Pianfetti, & Thomas S. Huang. (2008). Audio–Visual Affective Expression Recognition Through Multistream Fused HMM. IEEE Transactions on Multimedia. 10(4). 570–577. 89 indexed citations
2.
Huang, Thomas S., et al.. (2007). Audio-Visual Affect Recognition. IEEE Transactions on Multimedia. 9(2). 424–428. 81 indexed citations
3.
Zeng, Zhihong, et al.. (2005). Audio-Visual Affect Recognition in Activation-Evaluation Space. 828–831. 22 indexed citations
4.
Zeng, Zhihong, Jilin Tu, Brian Pianfetti, et al.. (2005). Audio-Visual Affect Recognition through Multi-Stream Fused HMM for HCI. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2. 967–972. 45 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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