Roozbeh Mottaghi

8.6k total citations · 4 hit papers
37 papers, 2.5k citations indexed

About

Roozbeh Mottaghi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Roozbeh Mottaghi has authored 37 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 8 papers in Aerospace Engineering. Recurrent topics in Roozbeh Mottaghi's work include Advanced Image and Video Retrieval Techniques (14 papers), Multimodal Machine Learning Applications (14 papers) and Advanced Neural Network Applications (11 papers). Roozbeh Mottaghi is often cited by papers focused on Advanced Image and Video Retrieval Techniques (14 papers), Multimodal Machine Learning Applications (14 papers) and Advanced Neural Network Applications (11 papers). Roozbeh Mottaghi collaborates with scholars based in United States, Canada and Germany. Roozbeh Mottaghi's co-authors include Raquel Urtasun, Sanja Fidler, Alan Yuille, Xiaobai Liu, Xiang Yu, Silvio Savarese, Ali Farhadi, Xianjie Chen, Seong‐Whan Lee and Nam-Gyu Cho and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Machine Learning Research and Autonomous Robots.

In The Last Decade

Roozbeh Mottaghi

36 papers receiving 2.4k citations

Hit Papers

The Role of Context for O... 2014 2026 2018 2022 2014 2014 2019 2014 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Roozbeh Mottaghi United States 15 2.1k 1.0k 326 128 103 37 2.5k
Jian Zhao China 28 1.7k 0.8× 567 0.6× 267 0.8× 117 0.9× 57 0.6× 109 2.3k
Joseph J. Lim United States 17 1.4k 0.7× 632 0.6× 181 0.6× 100 0.8× 53 0.5× 34 1.8k
Joanna Materzyńska Mexico 6 2.0k 0.9× 1.1k 1.1× 182 0.6× 54 0.4× 72 0.7× 6 2.3k
João Carreira United States 18 1.6k 0.8× 349 0.3× 338 1.0× 156 1.2× 87 0.8× 30 1.9k
Alexander G. Schwing United States 30 1.9k 0.9× 830 0.8× 340 1.0× 171 1.3× 219 2.1× 88 2.8k
Henghui Ding Singapore 29 1.8k 0.8× 922 0.9× 100 0.3× 96 0.8× 56 0.5× 78 2.3k
Tat‐Jen Cham Singapore 23 1.8k 0.8× 369 0.4× 174 0.5× 102 0.8× 62 0.6× 86 2.1k
Min Sun United States 21 1.6k 0.7× 565 0.6× 326 1.0× 32 0.3× 63 0.6× 86 2.0k
Yingwei Pan China 29 3.3k 1.6× 1.4k 1.4× 135 0.4× 67 0.5× 44 0.4× 85 4.0k
Anthony Dick Australia 27 3.1k 1.5× 1.1k 1.1× 644 2.0× 86 0.7× 287 2.8× 83 3.6k

Countries citing papers authored by Roozbeh Mottaghi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Chhablani, Gunjan, Théophile Gervet, Zsolt Kira, et al.. (2024). GOAT-Bench: A Benchmark for Multi-Modal Lifelong Navigation. 16373–16383. 1 indexed citations
2.
Gervet, Théophile, Dhruv Shah, Chris Paxton, et al.. (2024). GOAT: GO to Any Thing. 11 indexed citations
3.
Walsman, Aaron, et al.. (2023). ENTL: Embodied Navigation Trajectory Learner. 10829–10838. 2 indexed citations
4.
Gervet, Théophile, Austin Wang, Chris Paxton, et al.. (2023). Navigating to Objects Specified by Images. 8 indexed citations
5.
Berges, Vincent-Pierre, Devendra Singh Chaplot, Aaron Gokaslan, et al.. (2023). Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-Per-Second. 13767–13777. 1 indexed citations
6.
Mottaghi, Roozbeh, et al.. (2022). Interactron: Embodied Adaptive Object Detection. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 14840–14849. 17 indexed citations
7.
Deitke, Matt, et al.. (2022). ProcTHOR: Large-Scale Embodied AI Using Procedural Generation. 5982–5994. 1 indexed citations
8.
Weihs, Luca, et al.. (2022). Simple but Effective: CLIP Embeddings for Embodied AI. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 14809–14818. 102 indexed citations
9.
Gadre, Samir Yitzhak, Kiana Ehsani, Shuran Song, & Roozbeh Mottaghi. (2022). Continuous Scene Representations for Embodied AI. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 14829–14839. 24 indexed citations
10.
Gao, Peng, Jiasen Lu, Hongsheng Li, Roozbeh Mottaghi, & Aniruddha Kembhavi. (2021). Container: Context Aggregation Networks. Neural Information Processing Systems. 34. 12 indexed citations
11.
Mottaghi, Roozbeh, et al.. (2021). Factorizing Perception and Policy for Interactive Instruction Following. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 1868–1877. 17 indexed citations
12.
Park, Jae Sung, Chandra Bhagavatula, Roozbeh Mottaghi, Ali Farhadi, & Yejin Choi. (2020). Visual Commonsense Graphs: Reasoning about the Dynamic Context of a Still Image.. arXiv (Cornell University). 2 indexed citations
13.
Ehsani, Kiana, Roozbeh Mottaghi, & Ali Farhadi. (2018). SeGAN: Segmenting and Generating the Invisible. 6144–6153. 101 indexed citations
14.
Mottaghi, Roozbeh, Sanja Fidler, Alan Yuille, Raquel Urtasun, & Devi Parikh. (2015). Human-Machine CRFs for Identifying Bottlenecks in Scene Understanding. IEEE Transactions on Pattern Analysis and Machine Intelligence. 38(1). 74–87. 14 indexed citations
15.
Chen, Xianjie, Roozbeh Mottaghi, Xiaobai Liu, et al.. (2014). Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts. 1979–1986. 295 indexed citations breakdown →
16.
Yu, Xiang, Roozbeh Mottaghi, & Silvio Savarese. (2014). Beyond PASCAL: A benchmark for 3D object detection in the wild. 75–82. 392 indexed citations breakdown →
17.
Mottaghi, Roozbeh, Xianjie Chen, Xiaobai Liu, et al.. (2014). The Role of Context for Object Detection and Semantic Segmentation in the Wild. 891–898. 827 indexed citations breakdown →
18.
Mottaghi, Roozbeh. (2012). Augmenting deformable part models with irregular-shaped object patches. 3116–3123. 9 indexed citations
19.
Mottaghi, Roozbeh & Richard Vaughan. (2007). An integrated particle filter and potential field method applied to cooperative multi-robot target tracking. Autonomous Robots. 23(1). 19–35. 13 indexed citations
20.
Mottaghi, Roozbeh & R. M. Vaughan. (2006). An integrated particle filter and potential field method for cooperative robot target tracking. 1342–1347. 8 indexed citations

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.

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