Alireza Asvadi

959 total citations
18 papers, 631 citations indexed

About

Alireza Asvadi is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Aerospace Engineering. According to data from OpenAlex, Alireza Asvadi has authored 18 papers receiving a total of 631 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 8 papers in Automotive Engineering and 7 papers in Aerospace Engineering. Recurrent topics in Alireza Asvadi's work include Autonomous Vehicle Technology and Safety (8 papers), Video Surveillance and Tracking Methods (6 papers) and Robotics and Sensor-Based Localization (5 papers). Alireza Asvadi is often cited by papers focused on Autonomous Vehicle Technology and Safety (8 papers), Video Surveillance and Tracking Methods (6 papers) and Robotics and Sensor-Based Localization (5 papers). Alireza Asvadi collaborates with scholars based in Portugal, France and Iran. Alireza Asvadi's co-authors include Urbano Nunes, Paulo Peixoto, Cristiano Premebida, Luís Garrote, Yasser Baleghi, Mohammadreza Karami, João Paulo, F. Cannata, Rui Araújo and Paula Amorim and has published in prestigious journals such as SHILAP Revista de lepidopterología, Pattern Recognition Letters and Systems & Control Letters.

In The Last Decade

Alireza Asvadi

18 papers receiving 603 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alireza Asvadi Portugal	10	380	229	215	184	70	18	631
Mauro Bellone Estonia	12	296 0.8×	247 1.1×	162 0.8×	120 0.7×	42 0.6×	37	605
Tao Wu China	15	484 1.3×	302 1.3×	148 0.7×	207 1.1×	36 0.5×	79	784
Keisuke Yoneda Japan	15	347 0.9×	381 1.7×	282 1.3×	160 0.9×	60 0.9×	55	754
Luca Caltagirone Sweden	6	312 0.8×	238 1.0×	117 0.5×	173 0.9×	47 0.7×	8	501
Naoki Suganuma Japan	12	265 0.7×	279 1.2×	204 0.9×	124 0.7×	30 0.4×	72	561
Jin Fang China	12	721 1.9×	183 0.8×	367 1.7×	156 0.8×	96 1.4×	22	1.0k
Felix von Hundelshausen Germany	11	477 1.3×	386 1.7×	398 1.9×	262 1.4×	113 1.6×	22	843
Takashi Naito Japan	13	358 0.9×	225 1.0×	119 0.6×	120 0.7×	21 0.3×	35	557
Zhaozheng Hu China	14	273 0.7×	154 0.7×	206 1.0×	78 0.4×	66 0.9×	63	687
Raoul de Charette France	11	589 1.6×	121 0.5×	171 0.8×	107 0.6×	80 1.1×	23	816

Countries citing papers authored by Alireza Asvadi

Since Specialization

Citations

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

Fields of papers citing papers by Alireza Asvadi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alireza Asvadi

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

All Works

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18 of 18 papers shown

Asvadi, Alireza, Guillaume Dardenne, Jocelyne Troccaz, & Valérie Burdin. (2021). Bone Surface Reconstruction and Clinical Features Estimation from Sparse\n Landmarks and Statistical Shape Models: A feasibility study on the femur. arXiv (Cornell University). 5 indexed citations

Emami, Alireza, Rui Araújo, & Alireza Asvadi. (2020). Distributed simultaneous estimation of states and unknown inputs. Systems & Control Letters. 138. 104660–104660. 6 indexed citations

Premebida, Cristiano, et al.. (2019). Test and Evaluation of Connected and Autonomous Vehicles in Real-world Scenarios. 14–19. 12 indexed citations

Premebida, Cristiano, et al.. (2018). AUTOCITS Pilot in Lisbon - Perspectives, Challenges and Approaches. 488–494. 1 indexed citations

Asvadi, Alireza, et al.. (2018). CNN-LIDAR pedestrian classification: combining range and reflectance data. 1–6. 10 indexed citations

Premebida, Cristiano, et al.. (2018). Cooperative ITS Challenges: AUTOCITS Pilot in Lisbon. 1–5. 4 indexed citations

Asvadi, Alireza, Luís Garrote, Cristiano Premebida, Paulo Peixoto, & Urbano Nunes. (2017). Multimodal vehicle detection: fusing 3D-LIDAR and color camera data. Pattern Recognition Letters. 115. 20–29. 161 indexed citations

Asvadi, Alireza, Luís Garrote, Cristiano Premebida, Paulo Peixoto, & Urbano Nunes. (2017). DepthCN: Vehicle detection using 3D-LIDAR and ConvNet. 1–6. 50 indexed citations

Paulo, João, et al.. (2017). An innovative robotic walker for mobility assistance and lower limbs rehabilitation. 1–4. 7 indexed citations

10.

Paulo, João, Alireza Asvadi, Paulo Peixoto, & Paula Amorim. (2017). Human gait pattern changes detection system: A multimodal vision-based and novelty detection learning approach. Journal of Applied Biomedicine. 37(4). 701–717. 9 indexed citations

11.

Paulo, João, Luís Garrote, Alireza Asvadi, Cristiano Premebida, & Paulo Peixoto. (2017). Short-range gait pattern analysis for potential applications on assistive robotics. 107–112. 1 indexed citations

12.

Asvadi, Alireza, et al.. (2016). 3D object tracking using RGB and LIDAR data. 1255–1260. 60 indexed citations

13.

Asvadi, Alireza, et al.. (2016). 3D object tracking in driving environment: A short review and a benchmark dataset. 5 indexed citations

14.

Premebida, Cristiano, et al.. (2016). High-resolution LIDAR-based depth mapping using bilateral filter. Loughborough University Institutional Repository (Loughborough University). 2469–2474. 43 indexed citations

15.

Asvadi, Alireza, Cristiano Premebida, Paulo Peixoto, & Urbano Nunes. (2016). 3D Lidar-based static and moving obstacle detection in driving environments: An approach based on voxels and multi-region ground planes. Robotics and Autonomous Systems. 83. 299–311. 176 indexed citations

16.

Asvadi, Alireza, Paulo Peixoto, & Urbano Nunes. (2015). Detection and Tracking of Moving Objects Using 2.5D Motion Grids. 788–793. 52 indexed citations

17.

Asvadi, Alireza, et al.. (2011). Improved Object Tracking Using Radial Basis Function Neural Networks. 1–5. 15 indexed citations

18.

Asvadi, Alireza, Mohammadreza Karami, & Yasser Baleghi. (2011). Efficient Object Tracking Using Optimized K-means Segmentation and Radial Basis Function Neural Networks. SHILAP Revista de lepidopterología. 4(1). 29–39. 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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