A. Garg

1.6k citations
18 papers · 1.2k · 1 hit paper · h-index 11

Impact in

Papers in

    • Speech and Audio Processing 7
    • Music and Audio Processing 2
    • Speech Recognition and Synthesis 6
    • Speech and dialogue systems 3
    • Bayesian Modeling and Causal Inference 2

A. Garg

18 papers receiving 1.1k citations

A. Garg's Hit Papers

Recent advances in the automatic recognition of audiovisual speech 2003 · 566 citations
5660+7+15Years since publication100200300400500

Peers

A. Garg
Comparison fields: 5 of 56
  • Signal Processing 529
  • Computer Vision and Pattern Recognition 430
  • Experimental and Cognitive Psychology 195
  • Artificial Intelligence 331
  • Human-Computer Interaction 60
Replace Javier Hernando with:
Javier Hernando Spain
Naomi Harte Ireland
Mark Barnard United Kingdom
PC Woodland United Kingdom
Luhong Liang China
Eric D. Petajan United States
Stephen J. Cox United Kingdom
Julian J. Odell United Kingdom
Hyoung‐Gook Kim South Korea
Vincent Wan United Kingdom
A. Garg relative to Javier Hernando Spain Javier Hernando's profile →
Citations per field
00.5×1.5×1.9×
Javier Hernando · 1×
Citations per year

Countries citing papers authored by A. Garg

Since Specialization
Citations

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

Fields of papers citing papers by A. Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside A. Garg, 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 A. Garg Line = papers co-authored together A. Garg links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1
Recent advances in the automatic recognition of audiovisual speech
Hit paper breakdown →
2003566
2 2003249
3 2003107
4 200371
5 200239
6 200335
7 200333
8 200227
9 200326
10 200217
11 200114
12 20038
13 20025
14 20034
15 20054
16 20042
17 20241
18 20251

About A. Garg

A. Garg is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Health Informatics and Experimental and Cognitive Psychology, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Speech and Audio Processing (7 papers), Speech Recognition and Synthesis (6 papers), Speech and dialogue systems (3 papers), Artificial Intelligence in Healthcare and Education (2 papers), Music and Audio Processing (2 papers), Emotion and Mood Recognition (2 papers), Video Analysis and Summarization (2 papers) and Bayesian Modeling and Causal Inference (2 papers). The work is most often cited by research in Signal Processing (529 citations), Computer Vision and Pattern Recognition (430 citations), Experimental and Cognitive Psychology (195 citations), Artificial Intelligence (331 citations) and Human-Computer Interaction (60 citations). A. Garg has collaborated with scholars based in United States, Netherlands and Taiwan. Frequent co-authors include C. Neti, Guillaume Gravier, Andrew Senior, Nuria Oliver, Eric Horvitz, Thomas S. Huang, Vladimir Pavlović, Michael S. Lew, Nicu Sebe and James Matthew Rehg. Their work appears in journals such as Proceedings of the IEEE, IEE Proceedings - Vision Image and Signal Processing, Lecture notes in computer science, Communications in computer and information science and International Conference on Automatic Face and Gesture Recognition.

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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