Pedram Payvandy

466 total citations
42 papers, 349 citations indexed

About

Pedram Payvandy is a scholar working on Polymers and Plastics, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Pedram Payvandy has authored 42 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Polymers and Plastics, 10 papers in Computational Mechanics and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Pedram Payvandy's work include Textile materials and evaluations (29 papers), 3D Shape Modeling and Analysis (8 papers) and Optical measurement and interference techniques (6 papers). Pedram Payvandy is often cited by papers focused on Textile materials and evaluations (29 papers), 3D Shape Modeling and Analysis (8 papers) and Optical measurement and interference techniques (6 papers). Pedram Payvandy collaborates with scholars based in Iran and Australia. Pedram Payvandy's co-authors include Saeed Ebrahimi, Masoud Latifi, Roohollah Bagherzadeh, Aminoddin Hajı, Mohsen Gorji, Lingxue Kong, Seyed Mansour Bidoki, Maryam Yousefzadeh, Iman Hajizadeh and Mohammad R. Noorbala and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Thermal Analysis and Calorimetry and Mechanism and Machine Theory.

In The Last Decade

Pedram Payvandy

39 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pedram Payvandy Iran 9 164 76 64 57 48 42 349
Xiubao Huang China 13 215 1.3× 29 0.4× 11 0.2× 29 0.5× 51 1.1× 28 397
D.W. Lloyd United Kingdom 11 228 1.4× 8 0.1× 49 0.8× 40 0.7× 30 0.6× 24 331
Jaehyeok Doh South Korea 12 38 0.2× 42 0.6× 9 0.1× 96 1.7× 13 0.3× 48 373
S. Sivakumar India 9 46 0.3× 46 0.6× 8 0.1× 121 2.1× 16 0.3× 37 282
Hossein Ghayoor Canada 11 44 0.3× 69 0.9× 32 0.5× 172 3.0× 19 0.4× 15 530
Ioan Roşca Romania 12 84 0.5× 27 0.4× 68 1.1× 107 1.9× 36 0.8× 42 334
Vincent François Canada 13 94 0.6× 11 0.1× 60 0.9× 110 1.9× 212 4.4× 38 544
Yang Hong China 13 76 0.5× 130 1.7× 35 0.5× 137 2.4× 8 0.2× 27 579
Haitao Yuan China 8 35 0.2× 11 0.1× 19 0.3× 113 2.0× 17 0.4× 14 297

Countries citing papers authored by Pedram Payvandy

Since Specialization
Citations

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

Fields of papers citing papers by Pedram Payvandy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pedram Payvandy

This figure shows the co-authorship network connecting the top 25 collaborators of Pedram Payvandy. A scholar is included among the top collaborators of Pedram Payvandy 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 Pedram Payvandy. Pedram Payvandy 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.
Payvandy, Pedram, et al.. (2023). Numerical simulation and image analysis of thermal behavior of spacer fabric. Journal of Thermal Analysis and Calorimetry. 148(12). 5271–5282. 2 indexed citations
2.
Payvandy, Pedram, et al.. (2023). Investigation on Transmission Property of Warp-Knitted Spacer Fabric in Primary Resonance Using Nonlinear System Model. Fibers and Polymers. 24(6). 2239–2253. 1 indexed citations
3.
Payvandy, Pedram, et al.. (2023). Simulation of Draping Behavior of Woven Fabrics with an Optimized Yarn-Level Numerical Model. Fibers and Polymers. 24(7). 2503–2519.
4.
Payvandy, Pedram, et al.. (2021). Measurement of vibration in polyester filament yarns to detect their apparent properties. Journal of the Textile Institute. 113(7). 1270–1280. 3 indexed citations
5.
Payvandy, Pedram, et al.. (2021). The prediction of optimal conditions for the surface grafting ofβ-cyclodextrin onto silk fabrics by an artificial neural network (ANN). Pigment & Resin Technology. 52(2). 183–191. 3 indexed citations
6.
Payvandy, Pedram, et al.. (2020). Study on Linear Density Effect on the Vibration Behavior of Textile Strings Using Video Processing. 8(2). 41–51.
7.
Payvandy, Pedram, et al.. (2020). Video camera–based vibration measurement for the detection of the apparent properties of monofilaments. Journal of the Textile Institute. 112(7). 1055–1066. 2 indexed citations
8.
Hajı, Aminoddin & Pedram Payvandy. (2020). Application of ANN and ANFIS in prediction of color strength of plasma-treated wool yarns dyed with a natural colorant. Pigment & Resin Technology. 49(3). 171–180. 29 indexed citations
9.
Payvandy, Pedram. (2019). "3D Garment Design using Interactive Genetic Algorithm and Clustering". 5(1). 3 indexed citations
10.
Payvandy, Pedram, et al.. (2018). A novel approach for simulation of curling behavior of knitted fabric based on mass spring model. Journal of the Textile Institute. 109(12). 1620–1641. 16 indexed citations
11.
Payvandy, Pedram, et al.. (2018). Optimization of the thread take-up lever mechanism in lockstitch sewing machine using the imperialistic competitive algorithm. 3(1). 16–23. 1 indexed citations
12.
Payvandy, Pedram, et al.. (2017). A novel method based on loop shape for simulating knitted fabric using mass spring model. Fibers and Polymers. 18(3). 533–541. 7 indexed citations
13.
Payvandy, Pedram, et al.. (2017). Definition of Mass Spring Parameters for Knitted Fabric Simulation Using the Imperialist Competitive Algorithm. Fibres and Textiles in Eastern Europe. 25(0). 65–74. 3 indexed citations
14.
Payvandy, Pedram, et al.. (2017). Investigation of physical models accuracy optimized by PSO for determining low-velocity impact behavior of warp-knitted spacer fabrics. Journal of the Textile Institute. 109(3). 312–321. 5 indexed citations
15.
Payvandy, Pedram, et al.. (2016). Measuring the Diameter of Nanofibers Extracted from Polyblend Fibers Using FCM Clustering Method. 4(2). 83–91. 2 indexed citations
16.
Payvandy, Pedram, et al.. (2015). Optimization of Fabric Layout by Using Imperialist Competitive Algorithm. 3(2). 55–63. 3 indexed citations
17.
Ebrahimi, Saeed, Iman Hajizadeh, & Pedram Payvandy. (2014). Multiobjective Constrained Optimization of a Newly Developed Needle Driving Mechanism in the Sewing Machine for Improvement of the Mechanical Performance. SHILAP Revista de lepidopterología. 7(4). 9–18. 2 indexed citations
18.
Payvandy, Pedram, et al.. (2014). Non-linear simulation of drying of plain knitted fabric using mass-spring-damper model and genetic algorithm optimization. SHILAP Revista de lepidopterología. 7(4). 67–76. 4 indexed citations
19.
Payvandy, Pedram, et al.. (2014). Nano Fiber Images Thresholding based on Imperial Competitive Algorithm. International Journal of Computer Applications. 99(6). 37–41. 1 indexed citations
20.
Payvandy, Pedram, et al.. (2013). Predicting the influence of seam design on formability and strength of nonwoven structures using artificial neural network. Fibers and Polymers. 14(9). 1535–1540. 8 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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