Scholarly Index
COVID-19 diagnosis using AI
2021-2025 World Top1000 Scholar ranking for COVID-19 diagnosis using AI.
| World rank | Scholar | Impact score | Total citations | Total publications |
|---|---|---|---|---|
| 1 | Yudong Zhang | 99.95 | 41,216 | 1,259 |
| 2 | Mohd Javaid | 99.80 | 32,115 | 252 |
| 3 | Muhammad Attique Khan | 99.78 | 16,825 | 324 |
| 4 | Seifedine Kadry | 99.74 | 19,553 | 750 |
| 5 | Shuihua Wang | 99.73 | 22,811 | 373 |
| 6 | Chinmay Chakraborty | 99.70 | 7,010 | 205 |
| 7 | Seyedali Mirjalili | 99.69 | 130,349 | 568 |
| 8 | Vinayakumar Ravi | 99.66 | 4,924 | 223 |
| 9 | Robertas Damaševičius | 99.61 | 21,437 | 572 |
| 10 | Ram Sarkar | 99.60 | 11,794 | 370 |
| 11 | Amir H. Gandomi | 99.57 | 58,058 | 654 |
| 12 | Weiping Ding | 99.57 | 17,551 | 700 |
| 13 | Muhammad E. H. Chowdhury | 99.50 | 12,221 | 308 |
| 14 | Mazin Abed Mohammed | 99.45 | 11,902 | 277 |
| 15 | Ghulam Muhammad | 99.44 | 23,339 | 519 |
| 16 | Malik Sallam | 99.41 | 15,555 | 176 |
| 17 | Laith Abualigah | 99.38 | 37,872 | 643 |
| 18 | Amjad Rehman | 99.38 | 16,715 | 429 |
| 19 | Mehedi Masud | 99.36 | 9,667 | 286 |
| 20 | Eric J. Topol | 99.26 | 172,055 | 1,511 |
| 21 | Fadi Al‐Turjman | 99.13 | 17,090 | 385 |
| 22 | M. Shamim Hossain | 99.10 | 19,323 | 323 |
| 23 | Gaurav Dhiman | 99.08 | 15,906 | 260 |
| 24 | Muhammad Adnan Khan | 99.07 | 11,774 | 350 |
| 25 | Björn W. Schuller | 99.04 | 48,913 | 1,213 |
| 26 | Ketan Kotecha | 99.02 | 13,335 | 453 |
| 27 | Arash Heidari | 98.96 | 4,275 | 54 |
| 28 | Moulay A. Akhloufi | 98.92 | 4,347 | 200 |
| 29 | U. Rajendra Acharya | 98.89 | 86,091 | 1,010 |
| 30 | Gwanggil Jeon | 98.88 | 12,980 | 681 |
| 31 | Shaoting Zhang | 98.88 | 11,140 | 296 |
| 32 | Sheifali Gupta | 98.80 | 4,158 | 400 |
| 33 | Deepak Gupta | 98.79 | 14,837 | 599 |
| 34 | Omneya Attallah | 98.75 | 2,708 | 84 |
| 35 | V. Rajinikanth | 98.73 | 6,808 | 205 |
| 36 | Absalom E. Ezugwu | 98.69 | 10,472 | 181 |
| 37 | Yogesh Kumar | 98.64 | 3,129 | 166 |
| 38 | Junaid Qadir | 98.64 | 12,446 | 258 |
| 39 | Sami Azam | 98.63 | 6,120 | 181 |
| 40 | Pranav Rajpurkar | 98.62 | 22,625 | 93 |
| 41 | Muhammad Umer | 98.60 | 4,223 | 129 |
| 42 | Md. Nahiduzzaman | 98.59 | 1,832 | 45 |
| 43 | İshak Paçal | 98.59 | 2,988 | 67 |
| 44 | Tanzila Saba | 98.59 | 20,520 | 453 |
| 45 | Maad M. Mıjwıl | 98.58 | 2,309 | 126 |
| 46 | Imran Ahmed | 98.54 | 5,289 | 153 |
| 47 | Huiling Chen | 98.53 | 51,597 | 952 |
| 48 | Mahmoud Y. Shams | 98.51 | 2,998 | 80 |
| 49 | Walid El‐Shafai | 98.49 | 6,914 | 438 |
| 50 | Mamoona Humayun | 98.49 | 7,022 | 203 |