Ashutosh Garg
Impact in
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- Face and Expression Recognition
- Face recognition and analysis
- Image Retrieval and Classification Techniques
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- Emotion and Mood Recognition
Papers in
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- Face and Expression Recognition 5
- Face recognition and analysis 2
- Context-Aware Activity Recognition Systems 2
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- Machine Learning and Algorithms 3
- Anomaly Detection Techniques and Applications 2
- Algorithms and Data Compression 2
- Natural Language Processing Techniques 1
- Co-authors
- Abhinandan DasMayur DatarThomas S. HuangIra L. CohenNicu SebeNuria OliverEric HorvitzDan Roth
- Journals
- Computer Vision and Image Understanding (2 papers)Bioinformatics (1 paper)Annals of Mathematics and Artificial Intelligence (1 paper)Journal of Network and Systems Management (1 paper)SHILAP Revista de lepidopterología (2 papers)
- Partner nations
- United StatesIndiaNetherlands
In The Last Decade
Ashutosh Garg
20 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Computer Vision and Pattern Recognition 968
- Experimental and Cognitive Psychology 469
- Information Systems 728
- Signal Processing 266
- Human-Computer Interaction 131
Countries citing papers authored by Ashutosh Garg
This map shows the geographic impact of Ashutosh 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 Ashutosh Garg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashutosh Garg more than expected).
Fields of papers citing papers by Ashutosh Garg
This network shows the impact of papers produced by Ashutosh 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 Ashutosh Garg. The network helps show where Ashutosh Garg may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Ashutosh Garg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2022 | 0 | |
| 3 | 2022 | 2 | |
| 4 | 2022 | 1 | |
| 5 | 2017 | 1 | |
| 6 | A study of effect of temperature on conduction velocity of median sensory and motor nerve in normal subjects | 2015 | 1 |
| 7 | Google news personalization Hit paper breakdown → | 2007 | 958 |
| 8 | Machine Learning in Computer Vision (Computational Imaging and Vision) | 2005 | 6 |
| 9 | 2005 | 9 | |
| 10 | Generalized Opinion Pooling. | 2004 | 15 |
| 11 | 2004 | 213 | |
| 12 | Get the Most From Your Fired Heater | 2004 | 1 |
| 13 | Margin distribution and learning algorithms | 2003 | 12 |
| 14 | Margin Distribution and Learning. | 2003 | 6 |
| 15 | Facial expression recognition from video sequences: temporal and static modeling Hit paper breakdown → | 2003 | 583 |
| 16 | On generalization bounds, projection profile, and margin distribution | 2002 | 14 |
| 17 | MMIHMM: Maximum Mutual Information Hidden Markov Models | 2002 | 2 |
| 18 | 2002 | 39 | |
| 19 | Hierarchical Representations for Learning and Inferring Office Activity from Multiple Sensory Channels | 2002 | 3 |
| 20 | Emotion Recognition from Facial Expressions using Multilevel HMM | 2000 | 120 |
About Ashutosh Garg
Ashutosh Garg is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Transportation and Ocean Engineering, having authored 22 papers that have together received 2.0k indexed citations. Recurring topics across this work include Face and Expression Recognition (5 papers), Machine Learning and Algorithms (3 papers), Face recognition and analysis (2 papers), Context-Aware Activity Recognition Systems (2 papers), Anomaly Detection Techniques and Applications (2 papers), Algorithms and Data Compression (2 papers), Natural Language Processing Techniques (1 paper) and Sparse and Compressive Sensing Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (968 citations), Experimental and Cognitive Psychology (469 citations), Information Systems (728 citations), Signal Processing (266 citations) and Human-Computer Interaction (131 citations). Ashutosh Garg has collaborated with scholars based in United States, India and Netherlands. Frequent co-authors include Abhinandan Das, Mayur Datar, Thomas S. Huang, Ira L. Cohen, Nicu Sebe, Nuria Oliver, Eric Horvitz, Dan Roth, Simon Kasif and Vladimir Pavlović. Their work appears in journals such as Computer Vision and Image Understanding, Bioinformatics, Annals of Mathematics and Artificial Intelligence, Journal of Network and Systems Management and SHILAP Revista de lepidopterología.
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.