Anastasia Lado

Also affiliated with California University of Pennsylvania, Max Planck Institute for Intelligent Systems, University of Pennsylvania

PsychologyComputer ScienceDecision Sciences

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 3 papers. Top paper: “Synthetic faces generated with the facial action coding system or deep neural networks improve speech-in-noise perception, but not as much as real faces”.

Synthetic faces generated with the facial action coding system or deep neural networks improve speech-in-noise perception, but not as much as real faces

Frontiers in Neuroscience(2024)10.3389/fnins.2024.1379988

N/A

0DataRank · unranked

7 citations

Anastasia Lado, Yue Zhang, John F. Magnotti, Michael S. Beauchamp, Yingjia Yu

Repeatedly experiencing the McGurk effect induces long-lasting changes in auditory speech perception

Communications Psychology(2024)10.1038/s44271-024-00073-w

N/A

0DataRank · unranked

6 citations

Anastasia Lado, Yue Zhang, Arnt Maasø, Audrey Nath, Michael S. Beauchamp +1 more

The Effect on Speech-in-Noise Perception of Real Faces and Synthetic Faces Generated with either Deep Neural Networks or the Facial Action Coding System

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.02.05.578468

N/A

0DataRank · unranked

2 citations

Anastasia Lado, Yue Zhang, John F. Magnotti, Michael S. Beauchamp, Yingjia Yu