Melissa Mozifian
- Computer Vision and Pattern Recognition top 1%
- Aerospace Engineering top 2%
- Automotive Engineering top 5%
- Environmental Engineering top 5%
- Geology top 5%
- Co-authors
- Steven L. WaslanderJungwook LeeAli HarakehJason S. KuSebastian HöferChris AtkesonKostas E. BekrisAnkur Handa
- Topics
- Anomaly Detection Techniques and Applications (2 papers)Simulation Techniques and Applications (1 paper)Manufacturing Process and Optimization (1 paper)
- Journals
- IEEE Transactions on Automation Science and EngineeringarXiv (Cornell University)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Melissa Mozifian
5 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 61
- Computer Vision and Pattern Recognition 876
- Aerospace Engineering 522
- Automotive Engineering 250
- Environmental Engineering 216
- Geology 154
Countries citing papers authored by Melissa Mozifian
This map shows the geographic impact of Melissa Mozifian'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 Melissa Mozifian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melissa Mozifian more than expected).
Fields of papers citing papers by Melissa Mozifian
This network shows the impact of papers produced by Melissa Mozifian. 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 Melissa Mozifian. The network helps show where Melissa Mozifian may publish in the future.
Co-authorship network of co-authors of Melissa Mozifian
This figure shows the co-authorship network connecting the top 25 collaborators of Melissa Mozifian. A scholar is included among the top collaborators of Melissa Mozifian 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 Melissa Mozifian. Melissa Mozifian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 81 | |
| 3 | Learning Domain Randomization Distributions for Transfer of Locomotion Policies. | 3 |
| 4 | Joint 3D Proposal Generation and Object Detection from View Aggregationbreakdown → | 1022 |
| 5 | 27 |
About Melissa Mozifian
Melissa Mozifian is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition, having authored 5 papers that have together received 1.1k indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (2 papers), Simulation Techniques and Applications (1 paper) and Manufacturing Process and Optimization (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (876 citations), Geology (154 citations) and Instrumentation (92 citations). Melissa Mozifian has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Steven L. Waslander, Jungwook Lee, Ali Harakeh, Jason S. Ku, Sebastian Höfer, Chris Atkeson, Kostas E. Bekris, Ankur Handa, Dieter Fox and John Leonard. Their work appears in journals such as IEEE Transactions on Automation Science and Engineering 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.