Milad Ramezani

1.1k total citations
27 papers, 725 citations indexed

About

Milad Ramezani is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Environmental Engineering. According to data from OpenAlex, Milad Ramezani has authored 27 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Aerospace Engineering, 10 papers in Computer Vision and Pattern Recognition and 9 papers in Environmental Engineering. Recurrent topics in Milad Ramezani's work include Robotics and Sensor-Based Localization (22 papers), 3D Surveying and Cultural Heritage (9 papers) and Remote Sensing and LiDAR Applications (9 papers). Milad Ramezani is often cited by papers focused on Robotics and Sensor-Based Localization (22 papers), 3D Surveying and Cultural Heritage (9 papers) and Remote Sensing and LiDAR Applications (9 papers). Milad Ramezani collaborates with scholars based in Australia, United Kingdom and United States. Milad Ramezani's co-authors include Kourosh Khoshelham, Debaditya Acharya, Maurice Fallon, Fuqiang Gu, Peyman Moghadam, Sridha Sridharan, Clinton Fookes, Xuke Hu, Shahrokh Valaee and Jianga Shang and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACM Computing Surveys and The International Journal of Robotics Research.

In The Last Decade

Milad Ramezani

25 papers receiving 709 citations

Peers

Milad Ramezani

AE

CVPR

EEE

GEOLO

EE

Sören Schwertfeger China

Damien Vivet France

Michael Ruhnke Germany

Hyungtae Lim South Korea

Renaud Dubé Switzerland

Denis F. Wolf Brazil

Motilal Agrawal United States

Johannes Meyer Germany

Thien‐Minh Nguyen Singapore

Shenghai Yuan Singapore

Sören Schwertfeger China

Milad Ramezani

745 ×1.5

AE

630 ×2.3

CVPR

130 ×0.5

EEE

234 ×1.2

GEOLO

120 ×0.8

EE

Citations per year, relative to Milad Ramezani Milad Ramezani (= 1×) peers Sören Schwertfeger

Countries citing papers authored by Milad Ramezani

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

1.

Denman, Simon, et al.. (2025). HOTFormerLoc: Hierarchical Octree Transformer for Versatile Lidar Place Recognition Across Ground and Aerial Views. 6648–6658.

2.

Ramezani, Milad, et al.. (2024). WildScenes: A benchmark for 2D and 3D semantic segmentation in large-scale natural environments. The International Journal of Robotics Research. 44(4). 532–549. 6 indexed citations

3.

Ramezani, Milad, et al.. (2023). Pose-Graph Attentional Graph Neural Network for Lidar Place Recognition. IEEE Robotics and Automation Letters. 9(2). 1182–1189. 2 indexed citations

4.

Ramezani, Milad, et al.. (2023). Air-Ground Collaborative Localisation in Forests Using Lidar Canopy Maps. IEEE Robotics and Automation Letters. 8(3). 1818–1825. 5 indexed citations

5.

Ramezani, Milad, et al.. (2023). Wild-Places: A Large-Scale Dataset for Lidar Place Recognition in Unstructured Natural Environments. 11322–11328. 31 indexed citations

6.

Ramezani, Milad, et al.. (2023). Deep Robust Multi-Robot Re-Localisation in Natural Environments. 3322–3328. 2 indexed citations

7.

Ramezani, Milad, et al.. (2023). Demonstrating Autonomous 3D Path Planning on a Novel Scalable UGV-UAV Morphing Robot. 3064–3069. 4 indexed citations

8.

Moghadam, Peyman, et al.. (2022). InCloud: Incremental Learning for Point Cloud Place Recognition. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 8559–8566. 17 indexed citations

9.

Ramezani, Milad, et al.. (2022). LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition. 2022 International Conference on Robotics and Automation (ICRA). 2215–2221. 59 indexed citations

10.

Ramezani, Milad, et al.. (2022). Strategies for large scale elastic and semantic LiDAR reconstruction. Robotics and Autonomous Systems. 155. 104185–104185. 4 indexed citations

11.

Ramezani, Milad, et al.. (2022). Towards real-time forest inventory using handheld LiDAR. Robotics and Autonomous Systems. 157. 104240–104240. 33 indexed citations

12.

Ramezani, Milad, et al.. (2021). Scalable and Elastic LiDAR Reconstruction in Complex Environments Through Spatial Analysis. 5 indexed citations

13.

Ramezani, Milad. (2020). The Newer College Dataset: Handheld LiDAR, Inertial and Vision with Ground Truth. Iris (University of Trento). 160 indexed citations

14.

Ramezani, Milad, et al.. (2020). Legged Robots for Autonomous Inspection and Monitoring of Offshore Assets. Offshore Technology Conference. 5 indexed citations

15.

Camurri, Marco, et al.. (2020). Pronto: A Multi-Sensor State Estimator for Legged Robots in Real-World Scenarios. Frontiers in Robotics and AI. 7. 68–68. 69 indexed citations

16.

Gu, Fuqiang, Xuke Hu, Milad Ramezani, et al.. (2019). Indoor Localization Improved by Spatial Context—A Survey. ACM Computing Surveys. 52(3). 1–35. 131 indexed citations

17.

Acharya, Debaditya, Milad Ramezani, Kourosh Khoshelham, & Stephan Winter. (2019). BIM-Tracker: A model-based visual tracking approach for indoor localisation using a 3D building model. ISPRS Journal of Photogrammetry and Remote Sensing. 150. 157–171. 44 indexed citations

18.

Ramezani, Milad, Kourosh Khoshelham, & Clive S. Fraser. (2018). Pose estimation by Omnidirectional Visual-Inertial Odometry. Robotics and Autonomous Systems. 105. 26–37. 15 indexed citations

19.

Ramezani, Milad, Kourosh Khoshelham, & Laurent Kneip. (2017). Omnidirectional visual-inertial odometry using multi-state constraint Kalman filter. 110. 1317–1323. 17 indexed citations

20.

Ramezani, Milad. (2013). Harmony Search Algorithm: Strengths and Weaknesses. 2(1). 14 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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