Sajad Saeedi

3.1k total citations · 1 hit paper
44 papers, 2.0k citations indexed

About

Sajad Saeedi is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Ocean Engineering. According to data from OpenAlex, Sajad Saeedi has authored 44 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Vision and Pattern Recognition, 31 papers in Aerospace Engineering and 8 papers in Ocean Engineering. Recurrent topics in Sajad Saeedi's work include Robotics and Sensor-Based Localization (29 papers), Robotic Path Planning Algorithms (23 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Sajad Saeedi is often cited by papers focused on Robotics and Sensor-Based Localization (29 papers), Robotic Path Planning Algorithms (23 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Sajad Saeedi collaborates with scholars based in Canada, United Kingdom and United States. Sajad Saeedi's co-authors include Howard Li, Mae Seto, Liam Paull, Michael Trentini, Hong Li, Paul H. J. Kelly, Wenbin Li, Andrew J. Davison, Sharareh Taghipour and Bruno Bodin and has published in prestigious journals such as IEEE Transactions on Robotics, IEEE/ASME Transactions on Mechatronics and Robotics and Autonomous Systems.

In The Last Decade

Sajad Saeedi

42 papers receiving 1.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

AUV Navigation and Localization: A Review

2014 1.1k citations Liam Paull, Sajad Saeedi et al. IEEE Journal of Oceanic Engineering profile →

Peers

Sajad Saeedi

OE

AE

CVPR

EEE

OCEAN

Anı́bal Matos Portugal

Jinwhan Kim South Korea

Riccardo Costanzi Italy

Hordur Johannsson United States

Pan-Mook Lee South Korea

Nuno Cruz Portugal

Hyun‐Taek Choi South Korea

Bong-Huan Jun South Korea

John Folkesson Sweden

Xiaosu Xu China

Anı́bal Matos Portugal

Sajad Saeedi

1.1k ×0.9

OE

589 ×0.6

AE

367 ×0.6

CVPR

303 ×0.6

EEE

282 ×0.7

OCEAN

Citations per year, relative to Sajad Saeedi Sajad Saeedi (= 1×) peers Anı́bal Matos

Countries citing papers authored by Sajad Saeedi

Since Specialization

Citations

This map shows the geographic impact of Sajad Saeedi'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 Sajad Saeedi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sajad Saeedi more than expected).

Fields of papers citing papers by Sajad Saeedi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sajad Saeedi. 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 Sajad Saeedi. The network helps show where Sajad Saeedi may publish in the future.

Co-authorship network of co-authors of Sajad Saeedi

This figure shows the co-authorship network connecting the top 25 collaborators of Sajad Saeedi. A scholar is included among the top collaborators of Sajad Saeedi 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 Sajad Saeedi. Sajad Saeedi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Zareinia, Kourosh, et al.. (2024). Visual Inertial Odometry using Focal Plane Binary Features (BIT-VIO). 1661–1668.

2.

Saeedi, Sajad, et al.. (2024). Structure from WiFi (SfW): RSSI-Based Geometric Mapping of Indoor Environments. 259–264. 1 indexed citations

3.

Zareinia, Kourosh, et al.. (2024). Di-NeRF: Distributed NeRF for Collaborative Learning With Relative Pose Refinement. IEEE Robotics and Automation Letters. 9(11). 10527–10534. 2 indexed citations

4.

Murai, Riku, et al.. (2023). A Robot Web for Distributed Many-Device Localization. IEEE Transactions on Robotics. 40. 121–138. 11 indexed citations

5.

Saeedi, Sajad, et al.. (2023). Autonomous aerial robotics for package delivery: A technical review. Journal of Field Robotics. 41(1). 3–49. 20 indexed citations

6.

Nazari, Ali, et al.. (2022). Deep Direct Visual Servoing of Tendon-Driven Continuum Robots. 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE). 1977–1984. 5 indexed citations

7.

Taghipour, Sharareh, et al.. (2022). UV Disinfection Robots: A Review. Robotics and Autonomous Systems. 161. 104332–104332. 42 indexed citations

8.

Saeedi, Sajad, et al.. (2022). Far-UVC Disinfection with Robotic Mobile Manipulator. 1–8. 8 indexed citations

9.

Taghipour, Sharareh, et al.. (2022). Pareto Frontier Approximation Network (PA-Net) to Solve Bi-objective TSP. 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE). 1198–1205. 3 indexed citations

10.

Babaei, Ali Akbar, et al.. (2022). Compiling CNNs with Cain: focal-plane processing for robot navigation. Autonomous Robots. 46(8). 893–910. 3 indexed citations

11.

Saeedi, Sajad, Wenbin Li, Dimos Tzoumanikas, et al.. (2019). Characterizing Visual Localization and Mapping Datasets. Pure (University of Bath). 6699–6705. 16 indexed citations

12.

Saeedi, Sajad, Bruno Bodin, Andrew J. Davison, et al.. (2019). SLAMBench 3.0: Systematic Automated Reproducible Evaluation of SLAM Systems for Robot Vision Challenges and Scene Understanding. Research Explorer (The University of Manchester). 6351–6358. 23 indexed citations

13.

Paull, Liam, Sajad Saeedi, Mae Seto, & Howard Li. (2014). AUV Navigation and Localization: A Review. IEEE Journal of Oceanic Engineering. 39(1). 131–149. 1118 indexed citations breakdown →

14.

Saeedi, Sajad, Liam Paull, Michael Trentini, Mae Seto, & Howard Li. (2012). Map merging using hough peak matching. 4683–4688. 21 indexed citations

15.

Paull, Liam, Sajad Saeedi, Mae Seto, & Howard Li. (2012). Sensor-Driven Online Coverage Planning for Autonomous Underwater Vehicles. IEEE/ASME Transactions on Mechatronics. 18(6). 1827–1838. 105 indexed citations

16.

Saeedi, Sajad, Liam Paull, Michael Trentini, & Howard Li. (2011). Multiple robot simultaneous localization and mapping. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 3 indexed citations

17.

Saeedi, Sajad, Liam Paull, Michael Trentini, & Hong Li. (2011). Neural Network-Based Multiple Robot Simultaneous Localization and Mapping. IEEE Transactions on Neural Networks. 22(12). 2376–2387. 51 indexed citations

18.

Saeedi, Sajad, Liam Paull, Michael Trentini, & Hong Li. (2011). Multiple robot simultaneous localization and mapping. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 853–858. 27 indexed citations

19.

Paull, Liam, Sajad Saeedi, Howard Li, & Vincent Myers. (2010). An information gain based adaptive path planning method for an autonomous underwater vehicle using sidescan sonar. 17 indexed citations

20.

Saeedi, Sajad, Farhad Samadzadegan, & Naser El‐Sheimy. (2009). Vision-Aided Inertial Navigation for Pose Estimation of Aerial Vehicles. 453–459. 10 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.

Explore authors with similar magnitude of impact