E. Grassi

21 papers receiving 527 citations

Peers

E. Grassi
Comparison fields: 5 of 68
  • Developmental Biology 65
  • Signal Processing 191
  • Cognitive Neuroscience 197
  • Control and Systems Engineering 158
  • Speech and Hearing 35
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Makoto Otani Japan
A. H. Benade United States
Philippe Herzog France
Mark D. Skowronski United States
Futoshi Asano Japan
Christof Faller Switzerland
Benjamin B. Bauer Germany
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George F. Kuhn United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by E. Grassi

Since Specialization
Citations

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

Fields of papers citing papers by E. Grassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside E. Grassi, 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 E. Grassi Line = papers co-authored together E. Grassi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004108
2 200677
3 200071
4 200164
5
High Order Spatial Audio Capture and Its Binaural Head-Tracked Playback Over Headphones with HRTF Cues
200556
6 200236
7 200633
8 201325
9 200422
10
MEASUREMENT OF HEAD-RELATED TRANSFER FUNCTIONS BASED ON THE EMPIRICAL TRANSFER FUNCTION ESTIMATE
200315
11 199914
12 200211
13 19995
14 19993
15 19993
16 19993
17 20002
18 20032
19 20061
20
Modeling auditory and auditory-visual speech intelligibility: Challenges and possible solutions
20071

About E. Grassi

E. Grassi is a scholar working on Signal Processing, Electrical and Electronic Engineering, Control and Systems Engineering, Atomic and Molecular Physics, and Optics and Cognitive Neuroscience, having authored 21 papers that have together received 553 indexed citations. Recurring topics across this work include Speech and Audio Processing (8 papers), Semiconductor Quantum Structures and Devices (5 papers), Advanced Control Systems Design (5 papers), Hearing Loss and Rehabilitation (5 papers), Advanced Adaptive Filtering Techniques (4 papers), Advanced Semiconductor Detectors and Materials (3 papers), Iterative Learning Control Systems (3 papers) and Chalcogenide Semiconductor Thin Films (2 papers). The work is most often cited by research in Developmental Biology (65 citations), Signal Processing (191 citations), Cognitive Neuroscience (197 citations), Control and Systems Engineering (158 citations) and Speech and Hearing (35 citations). E. Grassi has collaborated with scholars based in United States, Sweden and Italy. Frequent co-authors include K. Tsakalis, Ramani Duraiswami, Nail A. Gumerov, Dmitry N. Zotkin, Murat Aytekin, Manjit S. Sahota, Cynthia F. Moss, Zhi‐Yun Li, G. Stein and Larry S. Davis. Their work appears in journals such as The Journal of the Acoustical Society of America, Journal of Crystal Growth, IEEE Transactions on Control Systems Technology, Journal of the American Academy of Audiology and Journal of the Audio Engineering Society.

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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