Roozbeh Mottaghi
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 1%
- Aerospace Engineering top 5%
- Computational Mechanics top 10%
- Geology top 5%
- Co-authors
- Raquel UrtasunSanja FidlerAlan YuilleXiaobai LiuSilvio SavareseXiang YuAli FarhadiXianjie Chen
- Topics
- Advanced Image and Video Retrieval Techniques (14 papers)Multimodal Machine Learning Applications (14 papers)Advanced Neural Network Applications (11 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceJournal of Machine Learning ResearchAutonomous Robots
- Partner nations
- United StatesCanadaSouth Korea
In The Last Decade
Roozbeh Mottaghi
36 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Computer Vision and Pattern Recognition 2.1k
- Artificial Intelligence 1.0k
- Aerospace Engineering 326
- Computational Mechanics 128
- Geology 103
Countries citing papers authored by Roozbeh Mottaghi
This map shows the geographic impact of Roozbeh Mottaghi'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 Roozbeh Mottaghi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roozbeh Mottaghi more than expected).
Fields of papers citing papers by Roozbeh Mottaghi
This network shows the impact of papers produced by Roozbeh Mottaghi. 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 Roozbeh Mottaghi. The network helps show where Roozbeh Mottaghi may publish in the future.
Co-authorship network of co-authors of Roozbeh Mottaghi
This figure shows the co-authorship network connecting the top 25 collaborators of Roozbeh Mottaghi. A scholar is included among the top collaborators of Roozbeh Mottaghi 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 Roozbeh Mottaghi. Roozbeh Mottaghi 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 | 11 | |
| 3 | 2 | |
| 4 | 17 | |
| 5 | 102 | |
| 6 | 1 | |
| 7 | 60 | |
| 8 | 24 | |
| 9 | Container: Context Aggregation Networks | 12 |
| 10 | 17 | |
| 11 | Visual Commonsense Graphs: Reasoning about the Dynamic Context of a Still Image. | 2 |
| 12 | 101 | |
| 13 | 14 | |
| 14 | Beyond PASCAL: A benchmark for 3D object detection in the wildbreakdown → | 392 |
| 15 | Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Partsbreakdown → | 295 |
| 16 | The Role of Context for Object Detection and Semantic Segmentation in the Wildbreakdown → | 827 |
| 17 | 9 | |
| 18 | 6 | |
| 19 | 13 | |
| 20 | 8 |
About Roozbeh Mottaghi
Roozbeh Mottaghi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering, having authored 37 papers that have together received 2.5k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (14 papers), Multimodal Machine Learning Applications (14 papers) and Advanced Neural Network Applications (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.1k citations), Artificial Intelligence (1.0k citations) and Geology (103 citations). Roozbeh Mottaghi has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Raquel Urtasun, Sanja Fidler, Alan Yuille, Xiaobai Liu, Silvio Savarese, Xiang Yu, Ali Farhadi, Xianjie Chen, Nam-Gyu Cho and Seong‐Whan Lee. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Machine Learning Research and Autonomous Robots.
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.