OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Effects of Demographic and Weather Parameters on COVID-19 Basic Reproduction Number
Igor Salom, Andjela Rodic, Ognjen Milićević, et al.
Frontiers in Ecology and Evolution (2021) Vol. 8
Open Access | Times Cited: 11

Showing 11 citing articles:

One-Year Lesson: Machine Learning Prediction of COVID-19 Positive Cases with Meteorological Data and Mobility Estimate in Japan
Essam A. Rashed, Akimasa Hirata
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 11, pp. 5736-5736
Open Access | Times Cited: 33

PM2.5 as a major predictor of COVID-19 basic reproduction number in the USA
Ognjen Milićević, Igor Salom, Andjela Rodic, et al.
Environmental Research (2021) Vol. 201, pp. 111526-111526
Open Access | Times Cited: 28

Inferring the Main Drivers of SARS‐CoV‐2 Global Transmissibility by Feature Selection Methods
Marko Djordjević, Igor Salom, Sofija Marković, et al.
GeoHealth (2021) Vol. 5, Iss. 9
Open Access | Times Cited: 15

COVID-19 severity determinants inferred through ecological and epidemiological modeling
Sofija Marković, Andjela Rodic, Igor Salom, et al.
One Health (2021) Vol. 13, pp. 100355-100355
Open Access | Times Cited: 14

A systems biology approach to COVID-19 progression in population
Magdalena Djordjevic, Andjela Rodic, Igor Salom, et al.
Advances in protein chemistry and structural biology (2021), pp. 291-314
Open Access | Times Cited: 12

Inferring the main drivers of SARS-CoV-2 global transmissibility by feature selection methods
Marko Djordjević, Igor Salom, Sofija Marković, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 2

Inferring the main drivers of SARS-CoV-2 transmissibility
Marko Djordjević, Igor Salom, Sofija Marković, et al.
(2021)
Closed Access | Times Cited: 1

Reaction-diffusion equations in mathematical models arising in epidemiology
Vasyl’ Davydovych, V. A. Dutka, Roman Cherniha
arXiv (Cornell University) (2023)
Open Access

COVID-19 mortality increases with urbanization, but social distancing was largely ineffective in reducing deaths in Brazil and most parts of the World
Sérgio Santorelli, Pedro Aurélio Costa Lima Pequeno, Clarissa Rosa, et al.
Research Society and Development (2022) Vol. 11, Iss. 11, pp. e41111132788-e41111132788
Open Access

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