J. K. Aggarwal
- Computer Vision and Pattern Recognition top 1%
- Aerospace Engineering top 5%
- Biomedical Engineering
- Artificial Intelligence top 10%
- Human-Computer Interaction top 5%
- Co-authors
- Lu XiaMichael MageeWorthy N. MartinIqbal QasimY. R. MayhewFarshid ArmanBaba C. VemuriL. Talbot
- Topics
- Advanced Vision and Imaging (11 papers)Robotics and Sensor-Based Localization (11 papers)Image and Object Detection Techniques (6 papers)
- Journals
- International Journal of Heat and Mass TransferPattern RecognitionIEEE Transactions on Robotics and Automation
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
J. K. Aggarwal
30 papers receiving 850 citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Computer Vision and Pattern Recognition 686
- Aerospace Engineering 194
- Biomedical Engineering 185
- Artificial Intelligence 184
- Human-Computer Interaction 120
Countries citing papers authored by J. K. Aggarwal
This map shows the geographic impact of J. K. Aggarwal'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 J. K. Aggarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. K. Aggarwal more than expected).
Fields of papers citing papers by J. K. Aggarwal
This network shows the impact of papers produced by J. K. Aggarwal. 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 J. K. Aggarwal. The network helps show where J. K. Aggarwal may publish in the future.
Co-authorship network of co-authors of J. K. Aggarwal
This figure shows the co-authorship network connecting the top 25 collaborators of J. K. Aggarwal. A scholar is included among the top collaborators of J. K. Aggarwal 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 J. K. Aggarwal. J. K. Aggarwal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Human activity recognition from 3D data: A reviewbreakdown → | 389 |
| 2 | 8 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 37 | |
| 7 | Tracking human motion in indoor environments using a distributed-camera system | 2 |
| 8 | Multisensor for Computer Vision | 6 |
| 9 | 24 | |
| 10 | 17 | |
| 11 | 11 | |
| 12 | 77 | |
| 13 | Cad-based object recognition in three-dimensional range images using pre-compiled recognition strategy programs | 1 |
| 14 | A positional estimation technique for an autonomous land vehicle in an unstructured environment | 3 |
| 15 | 37 | |
| 16 | 13 | |
| 17 | VOLUMETRIC REPRESENTATION FOR OBJECT MODEL ACQUISITION. | 2 |
| 18 | Volumetric Descriptions ofObjects from Multiple Views | 1 |
| 19 | Deconvolution of seismic data | 5 |
| 20 | 11 |
About J. K. Aggarwal
J. K. Aggarwal is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Aerospace Engineering, having authored 33 papers that have together received 900 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (11 papers), Robotics and Sensor-Based Localization (11 papers) and Image and Object Detection Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (686 citations), Human-Computer Interaction (120 citations) and Media Technology (103 citations). J. K. Aggarwal has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Lu Xia, Michael Magee, Worthy N. Martin, Iqbal Qasim, Y. R. Mayhew, Farshid Arman, Baba C. Vemuri, L. Talbot, Yuxiang Yang and Amar Mitiche. Their work appears in journals such as International Journal of Heat and Mass Transfer, Pattern Recognition and IEEE Transactions on Robotics and Automation.
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.