Shubham Goel
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Computational Mechanics
- Artificial Intelligence
- Information Systems
- Co-authors
- Ravinder KumarJitendra MalikJathushan RajasegaranGeorgios PavlakosAngjoo KanazawaMunish KumarNavdeep SinghKrishan Kumar
- Topics
- Web Data Mining and Analysis (3 papers)Human Pose and Action Recognition (3 papers)Recommender Systems and Techniques (3 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionHuman-Computer Interaction
- Partner nations
- IndiaUnited StatesJordan
In The Last Decade
Shubham Goel
16 papers receiving 288 citations
Peers
Comparison fields: 5 of 92
- Computer Vision and Pattern Recognition 154
- Biomedical Engineering 57
- Computational Mechanics 52
- Artificial Intelligence 46
- Information Systems 43
Countries citing papers authored by Shubham Goel
This map shows the geographic impact of Shubham Goel'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 Shubham Goel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shubham Goel more than expected).
Fields of papers citing papers by Shubham Goel
This network shows the impact of papers produced by Shubham Goel. 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 Shubham Goel. The network helps show where Shubham Goel may publish in the future.
Co-authorship network of co-authors of Shubham Goel
This figure shows the co-authorship network connecting the top 25 collaborators of Shubham Goel. A scholar is included among the top collaborators of Shubham Goel 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 Shubham Goel. Shubham Goel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 17 | |
| 5 | 23 | |
| 6 | 73 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 10 | |
| 10 | 61 | |
| 11 | 50 | |
| 12 | 10 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 12 | |
| 16 | 13 | |
| 17 | 3 | |
| 18 | 8 | |
| 19 | 9 | |
| 20 | 1 |
About Shubham Goel
Shubham Goel is a scholar working on Information Systems, Computer Graphics and Computer-Aided Design and Software, having authored 20 papers that have together received 299 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (3 papers), Human Pose and Action Recognition (3 papers) and Recommender Systems and Techniques (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (27 citations), Computer Vision and Pattern Recognition (154 citations) and Human-Computer Interaction (26 citations). Shubham Goel has collaborated with scholars based in India, United States and Jordan. Frequent co-authors include Ravinder Kumar, Jitendra Malik, Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Munish Kumar, Navdeep Singh, Krishan Kumar, Matthieu Guillaumin and Jasmine Collins. Their work appears in journals such as Immunity, Expert Systems with Applications and Information Sciences.
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.