Standout Papers

GIS-based spatial modeling of COVID-19 incidence rate in the continental United States 2020 2026 2022 2024470
  1. GIS-based spatial modeling of COVID-19 incidence rate in the continental United States (2020)
    Abolfazl Mollalo, Behzad Vahedi et al. The Science of The Total Environment

Immediate Impact

62 standout
Sub-graph 1 of 22

Citing Papers

Revolutionizing ecological security pattern with multi-source data and deep learning: An adaptive generation approach
2025 Standout
Integrating artificial intelligence with mechanistic epidemiological modeling: a scoping review of opportunities and challenges
2025 Standout
2 intermediate papers

Works of Behzad Vahedi being referenced

Artificial Neural Network Modeling of Novel Coronavirus (COVID-19) Incidence Rates across the Continental United States
2020
GIS-based spatial modeling of COVID-19 incidence rate in the continental United States
2020 Standout

Author Peers

Author Last Decade Papers Cites
Behzad Vahedi 163 390 4 231 8 655
Ensheng Dong 207 482 1 216 10 795
Alexander Hohl 258 303 1 120 24 580
Michael R. Desjardins 331 406 141 35 696
Iván Franch-Pardo 159 278 4 163 17 590
Jianmin Jia 166 404 226 8 693
Ge Xu 162 398 202 7 778
Liangcai Zhou 172 591 264 5 829
Wei Tu 55 293 2 224 26 755
Maximilian Marshall 157 425 185 6 609
Yinqiao Dong 101 480 15 265 17 811

All Works

Loading papers...

Rankless by CCL
2026