Saeed Saeedvand

473 total citations
28 papers, 287 citations indexed

About

Saeed Saeedvand is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Aerospace Engineering. According to data from OpenAlex, Saeed Saeedvand has authored 28 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 8 papers in Biomedical Engineering and 7 papers in Aerospace Engineering. Recurrent topics in Saeed Saeedvand's work include Robotic Path Planning Algorithms (10 papers), Robotic Locomotion and Control (8 papers) and Robot Manipulation and Learning (5 papers). Saeed Saeedvand is often cited by papers focused on Robotic Path Planning Algorithms (10 papers), Robotic Locomotion and Control (8 papers) and Robot Manipulation and Learning (5 papers). Saeed Saeedvand collaborates with scholars based in Iran, Taiwan and Azerbaijan. Saeed Saeedvand's co-authors include Hadi S. Aghdasi, Jacky Baltes, Chen‐Chien Hsu, Jun Jo, Amir Masoud Rahmani, Leyli Mohammad Khanli and Soroush Sadeghnejad and has published in prestigious journals such as Applied Soft Computing, Engineering Applications of Artificial Intelligence and Advanced Engineering Informatics.

In The Last Decade

Saeed Saeedvand

28 papers receiving 275 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Saeed Saeedvand Iran 11 84 82 76 64 36 28 287
Xiaoshan Gao China 7 58 0.7× 89 1.1× 55 0.7× 64 1.0× 25 0.7× 34 251
Zhehao Jin China 12 105 1.3× 190 2.3× 57 0.8× 45 0.7× 30 0.8× 30 332
Brian Plancher United States 11 102 1.2× 87 1.1× 35 0.5× 37 0.6× 51 1.4× 25 299
Luige Vlădăreanu Romania 8 49 0.6× 89 1.1× 29 0.4× 43 0.7× 13 0.4× 45 274
Roy Fox United States 9 50 0.6× 83 1.0× 48 0.6× 112 1.8× 16 0.4× 19 281
Shaolin Zhang China 10 103 1.2× 104 1.3× 35 0.5× 76 1.2× 14 0.4× 28 343
Ramón Galán Spain 11 69 0.8× 63 0.8× 25 0.3× 100 1.6× 64 1.8× 30 295
Ruffin White United States 5 88 1.0× 91 1.1× 74 1.0× 60 0.9× 59 1.6× 10 310
Daniel Fernando Tello Gamarra Brazil 10 158 1.9× 89 1.1× 19 0.3× 87 1.4× 85 2.4× 37 291
Fernando Díaz-del-Río Spain 10 107 1.3× 122 1.5× 28 0.4× 33 0.5× 41 1.1× 42 347

Countries citing papers authored by Saeed Saeedvand

Since Specialization
Citations

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

Fields of papers citing papers by Saeed Saeedvand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saeed Saeedvand

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

All Works

20 of 20 papers shown
1.
Aghdasi, Hadi S., et al.. (2024). A Comprehensive Survey on Multiple-Runway Aircraft Landing Optimization Problem. International Journal of Aeronautical and Space Sciences. 25(4). 1574–1602. 12 indexed citations
2.
Aghdasi, Hadi S., et al.. (2024). Modified imperialist competitive algorithm for aircraft landing scheduling problem. The Journal of Supercomputing. 80(10). 13782–13812. 14 indexed citations
3.
Baltes, Jacky, et al.. (2024). Cooperative dual-actor proximal policy optimization algorithm for multi-robot complex control task. Advanced Engineering Informatics. 63. 102960–102960. 1 indexed citations
4.
Saeedvand, Saeed, et al.. (2024). A Comprehensive Review of Mobile Robot Navigation Using Deep Reinforcement Learning Algorithms in Crowded Environments. Journal of Intelligent & Robotic Systems. 110(4). 9 indexed citations
5.
Baltes, Jacky, et al.. (2024). A hierarchical deep reinforcement learning algorithm for typing with a dual-arm humanoid robot. The Knowledge Engineering Review. 39. 1 indexed citations
6.
Aghdasi, Hadi S., et al.. (2024). Multi-objective aircraft landing problem: a multi-population solution based on non-dominated sorting genetic algorithm-II. The Journal of Supercomputing. 80(17). 25283–25314. 11 indexed citations
7.
Baltes, Jacky, et al.. (2023). A deep reinforcement learning algorithm to control a two-wheeled scooter with a humanoid robot. Engineering Applications of Artificial Intelligence. 126. 106941–106941. 11 indexed citations
8.
Hsu, Chen‐Chien, et al.. (2023). Multi-objective crowd-aware robot navigation system using deep reinforcement learning. Applied Soft Computing. 151. 111154–111154. 10 indexed citations
9.
Saeedvand, Saeed, et al.. (2022). Deep learning: A taxonomy of modern weapons to combat Covid‐19 similar pandemics in smart cities. Concurrency and Computation Practice and Experience. 34(27). 1 indexed citations
10.
Saeedvand, Saeed, et al.. (2021). Big data applications on the Internet of Things: A systematic literature review. International Journal of Communication Systems. 34(18). 10 indexed citations
11.
Saeedvand, Saeed, et al.. (2021). Hierarchical deep reinforcement learning to drag heavy objects by adult-sized humanoid robot. Applied Soft Computing. 110. 107601–107601. 20 indexed citations
12.
Saeedvand, Saeed, Hadi S. Aghdasi, & Jacky Baltes. (2020). Novel hybrid algorithm for Team Orienteering Problem with Time Windows for rescue applications. Applied Soft Computing. 96. 106700–106700. 22 indexed citations
13.
Aghdasi, Hadi S., Saeed Saeedvand, & Jacky Baltes. (2019). A multi-objective evolutionary hyper-heuristic algorithm for team-orienteering problem with time windows regarding rescue applications. The Knowledge Engineering Review. 34. 4 indexed citations
14.
Saeedvand, Saeed, Hadi S. Aghdasi, & Jacky Baltes. (2019). Mechatronic Design of ARC Humanoid Robot Open Platform: First Fully 3D Printed Kid-Sized Robot. International Journal of Humanoid Robotics. 17(3). 2050010–2050010. 7 indexed citations
15.
Saeedvand, Saeed, et al.. (2019). A comprehensive survey on humanoid robot development. The Knowledge Engineering Review. 34. 67 indexed citations
16.
Saeedvand, Saeed, Hadi S. Aghdasi, & Leyli Mohammad Khanli. (2019). Novel Distributed Dynamic Backbone-based Flooding in Unstructured Networks. Peer-to-Peer Networking and Applications. 13(3). 872–889. 3 indexed citations
17.
Saeedvand, Saeed, Hadi S. Aghdasi, & Jacky Baltes. (2019). Robust multi-objective multi-humanoid robots task allocation based on novel hybrid metaheuristic algorithm. Applied Intelligence. 49(12). 4097–4127. 32 indexed citations
18.
Saeedvand, Saeed, Hadi S. Aghdasi, & Jacky Baltes. (2018). Novel lightweight odometric learning method for humanoid robot localization. Mechatronics. 55. 38–53. 11 indexed citations
19.
Saeedvand, Saeed, et al.. (2015). Modelling Causal Consistency for Distributed Systems using Hierarchical Coloured Petri Net. Indian Journal of Science and Technology. 8(35). 2 indexed citations
20.
Saeedvand, Saeed, et al.. (2014). Path-finding in Multi-Agent, unexplored And Dynamic Military Environment Using Genetic Algorithm. 1(2013). 2 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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