Ayodeji Akingunola

1.2k total citations
31 papers, 452 citations indexed

About

Ayodeji Akingunola is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Ayodeji Akingunola has authored 31 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Atmospheric Science, 20 papers in Global and Planetary Change and 12 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Ayodeji Akingunola's work include Atmospheric chemistry and aerosols (23 papers), Atmospheric and Environmental Gas Dynamics (13 papers) and Air Quality and Health Impacts (12 papers). Ayodeji Akingunola is often cited by papers focused on Atmospheric chemistry and aerosols (23 papers), Atmospheric and Environmental Gas Dynamics (13 papers) and Air Quality and Health Impacts (12 papers). Ayodeji Akingunola collaborates with scholars based in Canada, United States and China. Ayodeji Akingunola's co-authors include Paul A. Makar, Qiong Zheng, Michael D. Moran, Shao‐Meng Li, Philip Cheung, Ralf M. Staebler, Balbir Pabla, Junhua Zhang, Craig Stroud and Wanmin Gong and has published in prestigious journals such as Nature Communications, Journal of Geophysical Research Atmospheres and Atmospheric chemistry and physics.

In The Last Decade

Ayodeji Akingunola

29 papers receiving 445 citations

Peers

Ayodeji Akingunola
U. Kaminski Germany
Yining Ma China
S. Despiau France
Samuel A. Atwood United States
R. Latha India
Hakki Baltaci Türkiye
Ayodeji Akingunola
Citations per year, relative to Ayodeji Akingunola Ayodeji Akingunola (= 1×) peers Kundan Lal Shrestha

Countries citing papers authored by Ayodeji Akingunola

Since Specialization
Citations

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

Fields of papers citing papers by Ayodeji Akingunola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayodeji Akingunola

This figure shows the co-authorship network connecting the top 25 collaborators of Ayodeji Akingunola. A scholar is included among the top collaborators of Ayodeji Akingunola 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 Ayodeji Akingunola. Ayodeji Akingunola 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.
Salzen, Knut von, Ayodeji Akingunola, Jason N. S. Cole, et al.. (2025). Reduced aerosol pollution diminished cloud reflectivity over the North Atlantic and Northeast Pacific. Nature Communications. 16(1). 9433–9433.
2.
Ghahreman, Roya, Wanmin Gong, Paul A. Makar, et al.. (2024). Modeling below-cloud scavenging of size-resolved particles in GEM-MACHv3.1. Geoscientific model development. 17(2). 685–707. 2 indexed citations
3.
Whaley, Cynthia, Courtney Schumacher, Ayodeji Akingunola, et al.. (2024). A new lightning scheme in the Canadian Atmospheric Model (CanAM5.1): implementation, evaluation, and projections of lightning and fire in future climates. Geoscientific model development. 17(18). 7141–7155. 3 indexed citations
4.
Stroud, Craig, Christopher E. Sioris, Paul A. Makar, et al.. (2022). Development of aerosol optical properties for improving the MESSy photolysis module in the GEM-MACH v2.4 air quality model and application for calculating photolysis rates in a biomass burning plume. Geoscientific model development. 15(1). 219–249. 4 indexed citations
5.
Gordon, Mark, Paul A. Makar, Ayodeji Akingunola, et al.. (2021). Evaluating the impact of storage-and-release on aircraft-based mass-balance methodology using a regional air-quality model. Atmospheric chemistry and physics. 21(20). 15461–15491. 8 indexed citations
6.
Hayden, Katherine, Shao‐Meng Li, Paul A. Makar, et al.. (2021). New methodology shows short atmospheric lifetimes of oxidized sulfur and nitrogen due to dry deposition. Atmospheric chemistry and physics. 21(11). 8377–8392. 9 indexed citations
7.
Makar, Paul A., Ayodeji Akingunola, Jack Chen, et al.. (2021). Forest-fire aerosol–weather feedbacks over western North America using a high-resolution, online coupled air-quality model. Atmospheric chemistry and physics. 21(13). 10557–10587. 16 indexed citations
8.
Makar, Paul A., et al.. (2019). Atmospheric Dimethyl sulfide and its role in aerosol formation and growth in the Arctic summer. AGUFM. 2019. 1 indexed citations
9.
Hakami, Amir, Paul A. Makar, Ayodeji Akingunola, et al.. (2019). An evaluation of the efficacy of very high resolution air-quality modelling over the Athabasca oil sands region, Alberta, Canada. Atmospheric chemistry and physics. 19(7). 4393–4417. 15 indexed citations
10.
Ghahreman, Roya, Wanmin Gong, Martí Galí, et al.. (2019). Dimethyl sulfide and its role in aerosol formation and growth in the Arctic summer – a modelling study. Atmospheric chemistry and physics. 19(23). 14455–14476. 21 indexed citations
11.
Whaley, Cynthia, Elisabeth Galarneau, Paul A. Makar, et al.. (2018). GEM-MACH-PAH (rev2488): a new high-resolutionchemical transport model for North American PAHsand benzene. Biogeosciences (European Geosciences Union). 1 indexed citations
12.
Soares, Joana, Paul A. Makar, Yayne-abeba Aklilu, & Ayodeji Akingunola. (2018). Associativity Analysis of SO 2 and NO 2 for Alberta Monitoring Data Using KZ Filtering and Hierarchical Clustering. Biogeosciences (European Geosciences Union). 1 indexed citations
13.
Soares, Joana, et al.. (2018). The use of hierarchical clustering for the design of optimized monitoring networks. Atmospheric chemistry and physics. 18(9). 6543–6566. 19 indexed citations
14.
Whaley, Cynthia, Elisabeth Galarneau, Paul A. Makar, et al.. (2018). GEM-MACH-PAH (rev2488): a new high-resolution chemical transport model for North American polycyclic aromatic hydrocarbons and benzene. Geoscientific model development. 11(7). 2609–2632. 14 indexed citations
15.
Stroud, Craig, Paul A. Makar, Junhua Zhang, et al.. (2018). Improving air quality model predictions of organic species using measurement-derived organic gaseous and particle emissions in a petrochemical-dominated region. Atmospheric chemistry and physics. 18(18). 13531–13545. 13 indexed citations
16.
Stroud, Craig, Paul A. Makar, Junhua Zhang, et al.. (2018). Air Quality Predictions using Measurement-Derived Organic Gaseous and Particle Emissions in a Petrochemical-Dominated Region. Biogeosciences (European Geosciences Union). 4 indexed citations
17.
Makar, Paul A., Ralf M. Staebler, Ayodeji Akingunola, et al.. (2017). The effects of forest canopy shading and turbulence on boundary layer ozone. Nature Communications. 8(1). 15243–15243. 52 indexed citations
18.
Makar, Paul A., Ralf M. Staebler, Ayodeji Akingunola, et al.. (2016). Forest Canopy Processes in a Regional Chemical Transport Model. EGU General Assembly Conference Abstracts.
19.
Taylor, Patrick, et al.. (2009). Pressure Data from the Phoenix Landing Site. LPI. 1868. 1 indexed citations
20.
Moudden, Y., A. García Muñoz, John McConnell, et al.. (2004). Preliminary ozone distribution on Mars using the Global Mars Multiscale Model (G3M). 35. 3085. 1 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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