Meysam Madadi

1.4k total citations
29 papers, 403 citations indexed

About

Meysam Madadi is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Meysam Madadi has authored 29 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 10 papers in Computational Mechanics and 7 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Meysam Madadi's work include 3D Shape Modeling and Analysis (10 papers), Human Pose and Action Recognition (9 papers) and Computer Graphics and Visualization Techniques (7 papers). Meysam Madadi is often cited by papers focused on 3D Shape Modeling and Analysis (10 papers), Human Pose and Action Recognition (9 papers) and Computer Graphics and Visualization Techniques (7 papers). Meysam Madadi collaborates with scholars based in Spain, United States and France. Meysam Madadi's co-authors include Sérgio Escalera, Xavier Baró, Hugo Jair Escalante, Jordi Gonzàlez, Julio C. S. Jacques, Ciprian Corneanu, Stéphane Ayache, Joakim Bruslund Haurum, Thomas B. Moeslund and Umut Güçlü and has published in prestigious journals such as ACM Transactions on Graphics, Pattern Recognition and Neurocomputing.

In The Last Decade

Meysam Madadi

28 papers receiving 391 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meysam Madadi Spain 10 193 114 88 70 57 29 403
Benjamín Hernández Mexico 9 237 1.2× 23 0.2× 33 0.4× 23 0.3× 45 0.8× 27 375
Wen‐Kai Tai Taiwan 10 221 1.1× 38 0.3× 65 0.7× 31 0.4× 37 0.6× 40 337
Maria Shugrina Canada 9 157 0.8× 61 0.5× 69 0.8× 35 0.5× 13 0.2× 13 326
Youngwoo Yoon South Korea 10 257 1.3× 67 0.6× 37 0.4× 45 0.6× 142 2.5× 35 467
Andrea Ricci Italy 4 188 1.0× 178 1.6× 169 1.9× 52 0.7× 46 0.8× 6 400
Yen-Chen Lin United States 6 441 2.3× 62 0.5× 62 0.7× 18 0.3× 101 1.8× 9 557
Jan Holub Czechia 10 88 0.5× 17 0.1× 12 0.1× 42 0.6× 15 0.3× 77 318
Pei-Ying Chiang Taiwan 9 255 1.3× 48 0.4× 14 0.2× 28 0.4× 86 1.5× 25 411
Zhiwen Shao China 13 354 1.8× 39 0.3× 24 0.3× 35 0.5× 10 0.2× 55 528
Lin Gui China 3 461 2.4× 86 0.8× 25 0.3× 14 0.2× 78 1.4× 4 530

Countries citing papers authored by Meysam Madadi

Since Specialization
Citations

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

Fields of papers citing papers by Meysam Madadi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meysam Madadi

This figure shows the co-authorship network connecting the top 25 collaborators of Meysam Madadi. A scholar is included among the top collaborators of Meysam Madadi 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 Meysam Madadi. Meysam Madadi 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.
Madadi, Meysam, et al.. (2024). A Generative Multi-Resolution Pyramid and Normal-Conditioning 3D Cloth Draping. Dipòsit Digital de Documents de la UAB (Universitat Autònoma de Barcelona). 28. 8694–8703. 1 indexed citations
2.
Casacuberta, Carles, et al.. (2024). Predicting the generalization gap in neural networks using topological data analysis. Neurocomputing. 596. 127787–127787. 3 indexed citations
3.
Mitra, Niloy J., Kuldeep Kulkarni, Chun-Hao P. Huang, et al.. (2023). Blowing in the Wind: CycleNet for Human Cinemagraphs from Still Images. 459–468. 4 indexed citations
4.
Clapés, Albert, et al.. (2023). Video-based Skill Assessment for Golf: Estimating Golf Handicap. VBN Forskningsportal (Aalborg Universitet). 31–39. 3 indexed citations
5.
Madadi, Meysam, et al.. (2022). Neural Cloth Simulation. ACM Transactions on Graphics. 41(6). 1–14. 38 indexed citations
6.
Haurum, Joakim Bruslund, Meysam Madadi, Sérgio Escalera, & Thomas B. Moeslund. (2022). Multi-scale hybrid vision transformer and Sinkhorn tokenizer for sewer defect classification. Automation in Construction. 144. 104614–104614. 20 indexed citations
7.
Madadi, Meysam, Sérgio Escalera, Xavier Baró, & Jordi Gonzàlez. (2021). End‐to‐end global to local convolutional neural network learning for hand pose recovery in depth data. IET Computer Vision. 16(1). 50–66. 7 indexed citations
8.
Madadi, Meysam, et al.. (2021). PBNS. ACM Transactions on Graphics. 40(6). 1–14. 36 indexed citations
9.
Corneanu, Ciprian, Meysam Madadi, Sérgio Escalera, & Aleix M. Martı́nez. (2020). Explainable Early Stopping for Action Unit Recognition. 693–699. 8 indexed citations
10.
Escalante, Hugo Jair, Heysem Kaya, Albert Ali Salah, et al.. (2020). Modeling, Recognizing, and Explaining Apparent Personality From Videos. IEEE Transactions on Affective Computing. 13(2). 894–911. 63 indexed citations
11.
Liu, Ajian, Xuan Li, Jun Wan, et al.. (2020). Cross-ethnicity Face Anti-spoofing Recognition Challenge: A Review. arXiv (Cornell University). 1 indexed citations
12.
Madadi, Meysam, et al.. (2020). SMPLR: Deep learning based SMPL reverse for 3D human pose and shape recovery. Pattern Recognition. 106. 107472–107472. 19 indexed citations
13.
Madadi, Meysam, et al.. (2020). Generative Video Face Reenactment by AUs and Gaze Regularization. 444–451.
14.
Madadi, Meysam, et al.. (2020). Learning Cloth Dynamics: 3D+Texture Garment Reconstruction Benchmark.. VBN Forskningsportal (Aalborg Universitet). 57–76. 4 indexed citations
15.
Sánchez, Daniel, Marc Oliu, Meysam Madadi, Xavier Baró, & Sérgio Escalera. (2019). Multi-task human analysis in still images: 2D/3D pose, depth map, and multi-part segmentation. 1–8. 4 indexed citations
16.
Escalera, Sérgio, et al.. (2019). Inpainting and Denoising Challenges. Radboud Repository (Radboud University). 5 indexed citations
17.
Madadi, Meysam, et al.. (2017). Occlusion Aware Hand Pose Recovery from Sequences of Depth Images. 230–237. 12 indexed citations
18.
Escalante, Hugo Jair, Isabelle Guyon, Sérgio Escalera, et al.. (2017). Design of an explainable machine learning challenge for video interviews. SPIRE - Sciences Po Institutional REpository. 3688–3695. 32 indexed citations
19.
Madadi, Meysam, Sérgio Escalera, Jordi Gonzàlez, F. Xavier Roca, & Felipe Lumbreras. (2015). Multi-part body segmentation based on depth maps for soft biometry analysis. Pattern Recognition Letters. 56. 14–21. 8 indexed citations
20.
Iranmanesh, Seyed Hossein & Meysam Madadi. (2008). An Intelligent System Framework For Generating Activity List Of A Project Using Wbs Mind Map And Semantic Network. Zenodo (CERN European Organization for Nuclear Research). 4 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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