Farshad Tajeripour

1.1k total citations
36 papers, 810 citations indexed

About

Farshad Tajeripour is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Media Technology. According to data from OpenAlex, Farshad Tajeripour has authored 36 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 12 papers in Industrial and Manufacturing Engineering and 8 papers in Media Technology. Recurrent topics in Farshad Tajeripour's work include Industrial Vision Systems and Defect Detection (12 papers), Image Retrieval and Classification Techniques (10 papers) and Medical Image Segmentation Techniques (7 papers). Farshad Tajeripour is often cited by papers focused on Industrial Vision Systems and Defect Detection (12 papers), Image Retrieval and Classification Techniques (10 papers) and Medical Image Segmentation Techniques (7 papers). Farshad Tajeripour collaborates with scholars based in Iran and United States. Farshad Tajeripour's co-authors include Shervan Fekri-Ershad, Abbas Sheikhi, Ehsanollah Kabir, Reza Boostani, Zohreh Azimifar, Hamid Reza Pourreza, Abdolaziz Haghnegahdar, Leila Khojastepour, Alireza Mehdizadeh and Seyed Mostafa Fakhrahmad and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurocomputing and Computers in Biology and Medicine.

In The Last Decade

Farshad Tajeripour

36 papers receiving 765 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Farshad Tajeripour Iran 13 417 278 181 151 125 36 810
Syed S. Naqvi Pakistan 20 604 1.4× 626 2.3× 78 0.4× 150 1.0× 33 0.3× 53 1.1k
S. S. Kumar India 17 357 0.9× 343 1.2× 52 0.3× 321 2.1× 77 0.6× 82 922
Muyi Sun China 13 229 0.5× 188 0.7× 23 0.1× 107 0.7× 37 0.3× 38 556
Jiayu Xu China 9 408 1.0× 223 0.8× 22 0.1× 256 1.7× 72 0.6× 27 738
Xiaobo Lai China 14 458 1.1× 281 1.0× 23 0.1× 189 1.3× 16 0.1× 33 946
S.B. Gokturk United States 11 601 1.4× 150 0.5× 30 0.2× 122 0.8× 107 0.9× 18 874
M. Alper Selver Türkiye 12 232 0.6× 117 0.4× 82 0.5× 92 0.6× 66 0.5× 64 479
Jintai Chen China 14 310 0.7× 165 0.6× 29 0.2× 267 1.8× 41 0.3× 38 701
Kun Zheng China 14 166 0.4× 172 0.6× 77 0.4× 53 0.4× 44 0.4× 51 594
Toufique Ahmed Soomro Pakistan 18 566 1.4× 674 2.4× 13 0.1× 171 1.1× 67 0.5× 46 1.1k

Countries citing papers authored by Farshad Tajeripour

Since Specialization
Citations

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

Fields of papers citing papers by Farshad Tajeripour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farshad Tajeripour

This figure shows the co-authorship network connecting the top 25 collaborators of Farshad Tajeripour. A scholar is included among the top collaborators of Farshad Tajeripour 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 Farshad Tajeripour. Farshad Tajeripour 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.
Mehdizadeh, Alireza, et al.. (2019). Mandibular Trabecular Bone Analysis Using Local Binary Pattern for Osteoporosis Diagnosis. Journal of Biomedical Physics and Engineering. 9(1Feb). 5 indexed citations
2.
Fakhrahmad, Seyed Mostafa, et al.. (2018). Impulse noise reduction for texture images using real word spelling correction algorithm and local binary patterns.. The International Arab Journal of Information Technology. 15. 1024–1030. 7 indexed citations
3.
Haghnegahdar, Abdolaziz, et al.. (2018). Diagnosis of Tempromandibular Disorders Using Local Binary Patterns\n. SHILAP Revista de lepidopterología. 12 indexed citations
4.
Fekri-Ershad, Shervan & Farshad Tajeripour. (2017). Impulse-Noise Resistant Color-Texture Classification Approach Using Hybrid Color Local Binary Patterns and Kullback–Leibler Divergence. The Computer Journal. 60(11). 1633–1648. 23 indexed citations
5.
Fekri-Ershad, Shervan & Farshad Tajeripour. (2017). Multi-Resolution and Noise-Resistant Surface Defect Detection Approach Using New Version of Local Binary Patterns. Applied Artificial Intelligence. 31(5-6). 395–410. 38 indexed citations
6.
Fekri-Ershad, Shervan & Farshad Tajeripour. (2017). Color texture classification based on proposed impulse-noise resistant color local binary patterns and significant points selection algorithm. Sensor Review. 37(1). 33–42. 30 indexed citations
7.
Tajeripour, Farshad, et al.. (2016). Noise robust and rotation invariant entropy features for texture classification. Multimedia Tools and Applications. 76(6). 8031–8066. 19 indexed citations
8.
Tajeripour, Farshad, et al.. (2015). Circular Mean Filtering For Textures Noise Reduction. SHILAP Revista de lepidopterología. 3 indexed citations
9.
Tajeripour, Farshad, et al.. (2015). Developing a Novel Approach for Content Based Image Retrieval Using Modified Local Binary Patterns and Morphological Transform. The International Arab Journal of Information Technology. 12. 574–581. 17 indexed citations
10.
Tajeripour, Farshad, et al.. (2014). Lung Nodule Segmentation based on Modified Local Binary Pattern. 1 indexed citations
11.
Tajeripour, Farshad, et al.. (2013). Automated characterization of blood vessels as arteries and veins in retinal images. Computerized Medical Imaging and Graphics. 37(7-8). 607–617. 78 indexed citations
12.
Tajeripour, Farshad, et al.. (2013). A Novel Supervised Bi-Level Thresholding Technique Based on Particle Swarm Optimization. Arabian Journal for Science and Engineering. 39(2). 753–766. 4 indexed citations
13.
Tajeripour, Farshad & Shervan Fekri-Ershad. (2013). Developing a Novel Approach for Stone Porosity Computing Using Modified Local Binary Patterns and Single Scale Retinex. Arabian Journal for Science and Engineering. 39(2). 875–889. 29 indexed citations
14.
Azimifar, Zohreh, et al.. (2013). Lung nodule segmentation and recognition using SVM classifier and active contour modeling: A complete intelligent system. Computers in Biology and Medicine. 43(4). 287–300. 141 indexed citations
15.
Fekri-Ershad, Shervan & Farshad Tajeripour. (2012). A robust approach for surface defect detection based on one dimensional local binary patterns. Indian Journal of Science and Technology. 5(8). 3197–3203. 11 indexed citations
16.
Tajeripour, Farshad, et al.. (2012). Porosity detection by using improved local binary patterns. 116–121. 11 indexed citations
17.
Tajeripour, Farshad, et al.. (2012). Supervised bi-level thresholding based on Particle Swarm Optimization. 370–373. 2 indexed citations
18.
Tajeripour, Farshad, et al.. (2012). Texture classification using a new version of local binary patterns. 8. 238–242. 2 indexed citations
19.
Tajeripour, Farshad, et al.. (2011). Developing an automatic method for separation of arteries from veins in retinal images. 1. 202–207. 5 indexed citations
20.
Tajeripour, Farshad, Ehsanollah Kabir, & Abbas Sheikhi. (2007). Fabric Defect Detection Using Modified Local Binary Patterns. EURASIP Journal on Advances in Signal Processing. 2008(1). 128 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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