Gaurav Garg
- Computer Vision and Pattern Recognition top 5%
- Computer Graphics and Computer-Aided Design top 2%
- Media Technology top 5%
- Artificial Intelligence top 10%
- Acoustics and Ultrasonics top 2%
- Co-authors
- Marc LevoyHendrik P. A. LenschMark HorowitzStephen R. MarschnerPradeep SenBilly ChenLalit GargEmeka Chukwu
- Topics
- Advanced Vision and Imaging (6 papers)Computer Graphics and Visualization Techniques (4 papers)EEG and Brain-Computer Interfaces (4 papers)
- Journals
- IEEE AccessACM Transactions on GraphicsJournal of the American Medical Informatics Association
- Partner nations
- IndiaUnited StatesMalta
In The Last Decade
Gaurav Garg
26 papers receiving 671 citations
Peers
Comparison fields: 5 of 103
- Computer Vision and Pattern Recognition 334
- Computer Graphics and Computer-Aided Design 146
- Media Technology 110
- Artificial Intelligence 103
- Acoustics and Ultrasonics 83
Countries citing papers authored by Gaurav Garg
This map shows the geographic impact of Gaurav 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 Gaurav Garg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaurav Garg more than expected).
Fields of papers citing papers by Gaurav Garg
This network shows the impact of papers produced by Gaurav 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 Gaurav Garg. The network helps show where Gaurav Garg may publish in the future.
Co-authorship network of co-authors of Gaurav Garg
This figure shows the co-authorship network connecting the top 25 collaborators of Gaurav Garg. A scholar is included among the top collaborators of Gaurav Garg based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gaurav Garg. Gaurav Garg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 111 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 34 | |
| 8 | 0 | |
| 9 | 46 | |
| 10 | 13 | |
| 11 | Gaussian Mixture Models for Brain Activation Detection from fMRI Data | 5 |
| 12 | 13 | |
| 13 | Detecting Filled Pauses in Tutorial Dialogs | 8 |
| 14 | 55 | |
| 15 | Efficiently acquiring reflectance fields using patterned illumination | 1 |
| 16 | 56 | |
| 17 | 57 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | 4 |
About Gaurav Garg
Gaurav Garg is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Media Technology, having authored 28 papers that have together received 710 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (6 papers), Computer Graphics and Visualization Techniques (4 papers) and EEG and Brain-Computer Interfaces (4 papers). The work is most often cited by research in Acoustics and Ultrasonics (83 citations), Computer Graphics and Computer-Aided Design (146 citations) and Instrumentation (78 citations). Gaurav Garg has collaborated with scholars based in India, United States and Malta. Frequent co-authors include Marc Levoy, Hendrik P. A. Lensch, Mark Horowitz, Stephen R. Marschner, Pradeep Sen, Billy Chen, Lalit Garg, Emeka Chukwu, Nidal Nasser and Chinmay Chakraborty. Their work appears in journals such as IEEE Access, ACM Transactions on Graphics and Journal of the American Medical Informatics Association.
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.