Arsalan Mousavian
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- Human Pose and Action Recognition 4
- Advanced Neural Network Applications 4
- Advanced Vision and Imaging 3
- Multimodal Machine Learning Applications 3
- Aerospace Engineering top 2%
- Robotics and Sensor-Based Localization 8
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- Robot Manipulation and Learning 11
- Geology top 5%
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems 3
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- Muscle activation and electromyography studies 3
- Co-authors
- Jana KošeckáDragomir AnguelovJohn P. FlynnDieter FoxXiang YuTimothy BretlXinke DengAnkit Goyal
- Cited by
- Computer Vision and Pattern RecognitionAerospace EngineeringControl and Systems Engineering
- Journals
- IEEE Transactions on Robotics (3 papers)Autonomous Robots (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)
- Partner nations
- United StatesSwedenAustralia
In The Last Decade
Arsalan Mousavian
20 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Computer Vision and Pattern Recognition 1.1k
- Aerospace Engineering 638
- Control and Systems Engineering 488
- Geology 104
- Human-Computer Interaction 83
Countries citing papers authored by Arsalan Mousavian
This map shows the geographic impact of Arsalan Mousavian'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 Arsalan Mousavian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arsalan Mousavian more than expected).
Fields of papers citing papers by Arsalan Mousavian
This network shows the impact of papers produced by Arsalan Mousavian. 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 Arsalan Mousavian. The network helps show where Arsalan Mousavian may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Arsalan Mousavian, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 36 | |
| 2 | 2023 | 4 | |
| 3 | ProgPrompt: Generating Situated Robot Task Plans using Large Language Modelsbreakdown → | 2023 | 272 |
| 4 | 2023 | 4 | |
| 5 | Deep Learning Approaches to Grasp Synthesis: A Reviewbreakdown → | 2023 | 114 |
| 6 | 2022 | 25 | |
| 7 | 2022 | 4 | |
| 8 | 2021 | 52 | |
| 9 | 2021 | 9 | |
| 10 | 2021 | 81 | |
| 11 | 2021 | 54 | |
| 12 | 2021 | 104 | |
| 13 | Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation | 2020 | 2 |
| 14 | 2020 | 108 | |
| 15 | The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation. | 2019 | 10 |
| 16 | 2019 | 29 | |
| 17 | 3D Bounding Box Estimation Using Deep Learning and Geometrybreakdown → | 2017 | 690 |
| 18 | 2016 | 33 | |
| 19 | 2015 | 31 | |
| 20 | A comparative study of control architectures in UAV/UGV-based surveillance system | 2014 | 8 |
About Arsalan Mousavian
Arsalan Mousavian is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Control and Systems Engineering, having authored 20 papers that have together received 1.7k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (11 papers), Robotics and Sensor-Based Localization (8 papers), Human Pose and Action Recognition (4 papers), Advanced Neural Network Applications (4 papers), Hand Gesture Recognition Systems (3 papers), Advanced Vision and Imaging (3 papers), Muscle activation and electromyography studies (3 papers) and Multimodal Machine Learning Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Aerospace Engineering (638 citations) and Control and Systems Engineering (488 citations). Arsalan Mousavian has collaborated with scholars based in United States, Sweden and Australia. Frequent co-authors include Jana Košecká, Dragomir Anguelov, John P. Flynn, Dieter Fox, Xiang Yu, Timothy Bretl, Xinke Deng, Ankit Goyal, Valts Blukis and Danfei Xu. Their work appears in journals such as IEEE Transactions on Robotics, Autonomous Robots, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) and arXiv (Cornell University).
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.