Arsalan Mousavian
About
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
- Artificial Intelligence 329
- Automotive Engineering 141
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 of co-authors of Arsalan Mousavian
This figure shows the co-authorship network connecting the top 25 collaborators of Arsalan Mousavian. A scholar is included among the top collaborators of Arsalan Mousavian 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 Arsalan Mousavian. Arsalan Mousavian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 36 | |
| 2 | 4 | |
| 3 | ProgPrompt: Generating Situated Robot Task Plans using Large Language Models breakdown → | 272 |
| 4 | 4 | |
| 5 | Deep Learning Approaches to Grasp Synthesis: A Review breakdown → | 114 |
| 6 | 25 | |
| 7 | 4 | |
| 8 | 52 | |
| 9 | 9 | |
| 10 | 81 | |
| 11 | 54 | |
| 12 | 104 | |
| 13 | Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation | 2 |
| 14 | 108 | |
| 15 | The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation. | 10 |
| 16 | 29 | |
| 17 | 3D Bounding Box Estimation Using Deep Learning and Geometry breakdown → | 690 |
| 18 | 33 | |
| 19 | 31 | |
| 20 | A comparative study of control architectures in UAV/UGV-based surveillance system | 8 |
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.