Milad Ramezani
- Aerospace Engineering top 2%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Geology top 2%
- Environmental Engineering top 10%
- Co-authors
- Kourosh KhoshelhamDebaditya AcharyaMaurice FallonFuqiang GuPeyman MoghadamSridha SridharanClinton FookesXuke Hu
- Topics
- Robotics and Sensor-Based Localization (22 papers)3D Surveying and Cultural Heritage (9 papers)Remote Sensing and LiDAR Applications (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaACM Computing SurveysThe International Journal of Robotics Research
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Milad Ramezani
25 papers receiving 709 citations
Peers
Comparison fields: 5 of 58
- Aerospace Engineering 489
- Computer Vision and Pattern Recognition 279
- Electrical and Electronic Engineering 262
- Geology 201
- Environmental Engineering 152
Countries citing papers authored by Milad Ramezani
This map shows the geographic impact of Milad Ramezani'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 Milad Ramezani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Milad Ramezani more than expected).
Fields of papers citing papers by Milad Ramezani
This network shows the impact of papers produced by Milad Ramezani. 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 Milad Ramezani. The network helps show where Milad Ramezani may publish in the future.
Co-authorship network of co-authors of Milad Ramezani
This figure shows the co-authorship network connecting the top 25 collaborators of Milad Ramezani. A scholar is included among the top collaborators of Milad Ramezani 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 Milad Ramezani. Milad Ramezani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 31 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 17 | |
| 9 | 59 | |
| 10 | 4 | |
| 11 | 33 | |
| 12 | 5 | |
| 13 | 160 | |
| 14 | 5 | |
| 15 | 69 | |
| 16 | 131 | |
| 17 | 44 | |
| 18 | 15 | |
| 19 | 17 | |
| 20 | 14 |
About Milad Ramezani
Milad Ramezani is a scholar working on Geology, Aerospace Engineering and Environmental Engineering, having authored 27 papers that have together received 725 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (22 papers), 3D Surveying and Cultural Heritage (9 papers) and Remote Sensing and LiDAR Applications (9 papers). The work is most often cited by research in Geology (201 citations), Aerospace Engineering (489 citations) and Computer Vision and Pattern Recognition (279 citations). Milad Ramezani has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Kourosh Khoshelham, Debaditya Acharya, Maurice Fallon, Fuqiang Gu, Peyman Moghadam, Sridha Sridharan, Clinton Fookes, Xuke Hu, Shahrokh Valaee and Jianga Shang. Their work appears in journals such as SHILAP Revista de lepidopterología, ACM Computing Surveys and The International Journal of Robotics Research.
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.