Dhiraj Joshi
- Computer Vision and Pattern Recognition top 0.2%
- Artificial Intelligence top 2%
- Media Technology top 1%
- Signal Processing top 2%
- Computational Theory and Mathematics top 2%
- Co-authors
- James Z. WangRitendra DattaJia LiAshish AnandKalyanmoy DebJiebo LuoAndrew GallagherElena Fedorovskaya
- Topics
- Advanced Image and Video Retrieval Techniques (25 papers)Image Retrieval and Classification Techniques (25 papers)Video Analysis and Summarization (17 papers)
- Partner nations
- United StatesJapanSwitzerland
In The Last Decade
Dhiraj Joshi
45 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Computer Vision and Pattern Recognition 2.7k
- Artificial Intelligence 827
- Media Technology 389
- Signal Processing 267
- Computational Theory and Mathematics 249
Countries citing papers authored by Dhiraj Joshi
This map shows the geographic impact of Dhiraj Joshi'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 Dhiraj Joshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dhiraj Joshi more than expected).
Fields of papers citing papers by Dhiraj Joshi
This network shows the impact of papers produced by Dhiraj Joshi. 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 Dhiraj Joshi. The network helps show where Dhiraj Joshi may publish in the future.
Co-authorship network of co-authors of Dhiraj Joshi
This figure shows the co-authorship network connecting the top 25 collaborators of Dhiraj Joshi. A scholar is included among the top collaborators of Dhiraj Joshi 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 Dhiraj Joshi. Dhiraj Joshi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 60 | |
| 2 | Grounding Spoken Words in Unlabeled Video | 9 |
| 3 | The Excitement of Sports: Automatic Highlights Using Audio/Visual Cues. | 5 |
| 4 | 41 | |
| 5 | Auto-Curation and Personalization of Sports Highlights Through Multimodal Excitement Measures | 1 |
| 6 | 10 | |
| 7 | 1 | |
| 8 | 276 | |
| 9 | 0 | |
| 10 | 16 | |
| 11 | 1 | |
| 12 | 36 | |
| 13 | 19 | |
| 14 | Image retrievalbreakdown → | 2025 |
| 15 | 51 | |
| 16 | 2 | |
| 17 | 6 | |
| 18 | 10 | |
| 19 | 30 | |
| 20 | A Computationally Efficient Evolutionary Algorithm for Real-Parameter Optimizationbreakdown → | 451 |
About Dhiraj Joshi
Dhiraj Joshi is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 46 papers that have together received 3.6k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (25 papers), Image Retrieval and Classification Techniques (25 papers) and Video Analysis and Summarization (17 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.7k citations), Media Technology (389 citations) and Artificial Intelligence (827 citations). Dhiraj Joshi has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include James Z. Wang, Ritendra Datta, Jia Li, Ashish Anand, Kalyanmoy Deb, Jiebo Luo, Andrew Gallagher, Jia Li, Elena Fedorovskaya and Quang-Tuan Luong. Their work appears in journals such as ACM Computing Surveys, Pattern Recognition and IEEE Signal Processing Magazine.
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.