A. Garg

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

Impact in

Papers in

A. Garg

18 papers receiving 1.1k citations

A. Garg's Hit Papers

Recent advances in the automatic recognition of audiovisual speech 2003 · 543 citations
5430+7+15Years since publication100200300400500

Peers

A. Garg
Comparison fields: 5 of 79
  • Signal Processing 622
  • Computer Vision and Pattern Recognition 596
  • Human-Computer Interaction 88
  • Experimental and Cognitive Psychology 173
  • Artificial Intelligence 422
Replace Mark Barnard with:
Mark Barnard United Kingdom
Norihide Kitaoka Japan
Koichi Shinoda Japan
Luhong Liang China
Satoru Hayamizu Japan
Beth Logan United States
Claude C. Chibelushi United Kingdom
Hyoung‐Gook Kim South Korea
Ya Li China
Seiichi Nakagawa Japan
A. Garg relative to Mark Barnard United Kingdom Mark Barnard's profile →
Citations per field
00.5×2.7×
Mark Barnard · 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 20 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 →
2003543
2 2003247
3 2003104
4 200371
5 200240
6 200337
7 200333
8 200328
9 200227
10 200217
11 200114
12 20038
13 20025
14 20034
15 20054
16 20043
17 20241
18 20251

About A. Garg

A. Garg is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Social Psychology and Control and Systems Engineering, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Speech and Audio Processing (6 papers), Music and Audio Processing (5 papers), Blind Source Separation Techniques (4 papers), Face and Expression Recognition (4 papers), Neural Networks and Applications (3 papers), Anomaly Detection Techniques and Applications (3 papers), Human Pose and Action Recognition (3 papers) and Time Series Analysis and Forecasting (2 papers). The work is most often cited by research in Signal Processing (622 citations), Computer Vision and Pattern Recognition (596 citations), Human-Computer Interaction (88 citations), Experimental and Cognitive Psychology (173 citations) and Artificial Intelligence (422 citations). A. Garg has collaborated with scholars based in United States, Czechia and France. Frequent co-authors include C. Neti, Andrew Senior, Guillaume Gravier, Nuria Oliver, Eric Horvitz, Thomas S. Huang, Ira L. Cohen, Vladimir Pavlović, Michael S. Lew and Nicu Sebe. 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 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

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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