| International COVID-19 vaccine inequality amid the pandemic: Perpetuating a global crisis? FAW M Tatar, JM Shoorekchali, MR Faraji J Glob Health, 11:03086, 2021 | 159 | 2021 |
| Face Recognition under Varying Illuminations Using Logarithmic Fractal Dimension-based Complete Eight Local Directional Patterns MR Faraji, X Qi Neurocomputing 199, 16-30, 2016 | 61 | 2016 |
| Face recognition under varying illumination based on adaptive homomorphic eight local directional patterns MR Faraji, X Qi IET Computer Vision 9 (3), 390-399, 2015 | 55 | 2015 |
| COVID-19 vaccine inequality: a global perspective M Tatar, JM Shoorekchali, MR Faraji, MA Seyyedkolaee, JA Pagán, ... Journal of global health 12, 03072, 2022 | 53 | 2022 |
| Face Recognition under Varying Illumination with Logarithmic Fractal Analysis MR Faraji, X Qi Signal Processing Letters, IEEE 21 (12), 1457 - 1461, 2014 | 51 | 2014 |
| Interval type-2 fuzzy expert system for prediction of carbon monoxide concentration in mega-cities MH Zarandi, MR Faraji, M Karbasian Applied Soft Computing 12 (1), 291-301, 2011 | 48 | 2011 |
| An Exponential Cluster Validity Index for Fuzzy Clustering with Crisp and Fuzzy Data MHF Zarandi, MR Faraji, M Karbasian Scientia Iranica Transaction on Industrial Engineering 17 (2), 95-110, 2010 | 42* | 2010 |
| The role of good governance in the race for global vaccination during the COVID-19 pandemic M Tatar, MR Faraji, JM Shoorekchali, JA Pagán, FA Wilson Scientific Reports 11 (22440), 2021 | 41 | 2021 |
| Face recognition under illumination variations based on eight local directional patterns MR Faraji, X Qi IET Biometrics 4 (1), 10-17, 2015 | 38 | 2015 |
| An effective neutrosophic set-based preprocessing method for face recognition MR Faraji, X Qi 2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), 1-4, 2013 | 18 | 2013 |
| Computer vision–based orthorectification and georeferencing of aerial image sets MR Faraji, X Qi, A Jensen Journal of Applied Remote Sensing 10 (3), 036027, 2016 | 16 | 2016 |
| Face Recognition under Varying Illuminations with Multi-scale Gradient Maximum Response MR Faraji, X Qi Neurocomputing 308, 87-100, 2018 | 13 | 2018 |
| Fingerprint matching using the onion peeling approach and turning function N Padkan, BS Bigham, MR Faraji Gene Expression Patterns 47, 119299, 2023 | 6 | 2023 |
| Screen content image quality assessment using distortion-based directional edge and gradient similarity maps HF Tolie, MR Faraji Signal Processing: Image Communication 101, 116562, 2021 | 6 | 2021 |
| International COVID-19 vaccine inequality amid the pandemic: perpetuating a global crisis J Glob Health 11: 03086 M Tatar, JM Shoorekchali, MR Faraji, FA Wilson | 6 | 2021 |
| International COVID-19 vaccine inequality amid the pandemic: Perpetuating a global crisis? J Glob Health. 2021; 11: 03086 M Tatar, JM Shoorekchali, MR Faraji, FA Wilson | 6 | |
| Social vulnerability predictors of drug poisoning mortality: a machine learning analysis in the United States M Tatar, MR Faraji, K Keyes, FA Wilson, MS Jalali The American Journal on Addictions 32 (6), 539-546, 2023 | 5 | 2023 |
| Blind quality assessment of screen content images via edge histogram descriptor and statistical moments HF Tolie, MR Faraji, X Qi The Visual Computer 40 (8), 5341-5356, 2024 | 4 | 2024 |
| Social vulnerability and initial COVID-19 community spread in the US South: a machine learning approach M Tatar, MR Faraji, FA Wilson BMJ Health & Care Informatics 30 (1), e100703, 2023 | 3 | 2023 |
| Full‐reference tone‐mapped images quality assessment MR Faraji IET Image Processing, 1-11, 2020 | 3 | 2020 |
Moosa TatarAssistant Professor at University of HoustonPatvirtintas el. paštas uh.edu