Cesunica E. Ivey

1.6k total citations
53 papers, 1.1k citations indexed

About

Cesunica E. Ivey is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Cesunica E. Ivey has authored 53 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Health, Toxicology and Mutagenesis, 35 papers in Atmospheric Science and 21 papers in Environmental Engineering. Recurrent topics in Cesunica E. Ivey's work include Air Quality and Health Impacts (41 papers), Atmospheric chemistry and aerosols (34 papers) and Air Quality Monitoring and Forecasting (21 papers). Cesunica E. Ivey is often cited by papers focused on Air Quality and Health Impacts (41 papers), Atmospheric chemistry and aerosols (34 papers) and Air Quality Monitoring and Forecasting (21 papers). Cesunica E. Ivey collaborates with scholars based in United States, China and Switzerland. Cesunica E. Ivey's co-authors include Armistead G. Russell, Heather A. Holmes, Luíz Rachid Trabulsi, Kristine L. MacDonald, Tânia A. T. Gomes, P A Blake, Yongtao Hu, Guoliang Shi, James A. Mulholland and M R Toledo and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Environmental Science & Technology.

In The Last Decade

Cesunica E. Ivey

48 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Cesunica E. Ivey United States	20	609	402	296	209	187	53	1.1k
Pascal Beaudeau France	18	779 1.3×	60 0.1×	383 1.3×	126 0.6×	40 0.2×	47	1.3k
Jeffry H. Shirai United States	21	734 1.2×	51 0.1×	189 0.6×	161 0.8×	15 0.1×	44	1.3k
Clifford S. Mitchell United States	20	563 0.9×	54 0.1×	90 0.3×	94 0.4×	90 0.5×	46	1.3k
Tanya Christidis Canada	18	612 1.0×	85 0.2×	179 0.6×	63 0.3×	28 0.1×	36	1.0k
Heather Auld Canada	19	206 0.3×	339 0.8×	161 0.5×	54 0.3×	25 0.1×	29	825
Sadegh Niazi Australia	18	793 1.3×	149 0.4×	277 0.9×	118 0.6×	19 0.1×	33	1.2k
Frank Osei Netherlands	16	126 0.2×	59 0.1×	132 0.4×	37 0.2×	83 0.4×	48	724
Chengsheng Jiang United States	21	520 0.9×	46 0.1×	92 0.3×	77 0.4×	31 0.2×	44	1.1k
Susan M. Bernard United States	8	447 0.7×	63 0.2×	64 0.2×	35 0.2×	29 0.2×	8	701
Shokrollah Salmanzadeh Iran	17	426 0.7×	56 0.1×	138 0.5×	251 1.2×	27 0.1×	79	990

Countries citing papers authored by Cesunica E. Ivey

Since Specialization

Citations

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

Fields of papers citing papers by Cesunica E. Ivey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cesunica E. Ivey. 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 Cesunica E. Ivey. The network helps show where Cesunica E. Ivey may publish in the future.

Co-authorship network of co-authors of Cesunica E. Ivey

This figure shows the co-authorship network connecting the top 25 collaborators of Cesunica E. Ivey. A scholar is included among the top collaborators of Cesunica E. Ivey 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 Cesunica E. Ivey. Cesunica E. Ivey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ivey, Cesunica E., et al.. (2025). Potential Errors in CMAQ NO:NO₂ Ratios and Upper Tropospheric NO₂ Impacting the Interpretation of TROPOMI Retrievals. ACS ES&T Air. 2(6). 998–1008.

Krall, Jenna R., et al.. (2025). Long-term PM2.5 source apportionment at 12 sites in the western United States from 2000 to 2020. Atmospheric Pollution Research. 17(2). 102779–102779.

Yu, Haofei, et al.. (2025). A brief review of methods for determining time-activity patterns in California. Journal of the Air & Waste Management Association. 75(4). 267–285.

Gao, Ziqi, et al.. (2024). Performance of machine learning for ozone modeling in Southern California during the COVID-19 shutdown. Environmental Science Atmospheres. 4(4). 488–500. 4 indexed citations

Gao, Ziqi, et al.. (2024). Predicting PM2.5 levels and exceedance days using machine learning methods. Atmospheric Environment. 323. 120396–120396. 17 indexed citations

Alves, Michael R., Yutong Liang, David M. Lunderberg, et al.. (2024). Characterizing PM_2.5 Emissions and Temporal Evolution of Organic Composition from Incense Burning in a California Residence. Environmental Science & Technology. 58(11). 5047–5057. 8 indexed citations

Zhu, Zihan, et al.. (2024). Assessing CMAQ model discrepancies in a heavily polluted air basin using UAV vertical profiles and sensitivity analyses. Environmental Science Atmospheres. 4(9). 1051–1063. 2 indexed citations

Gao, Ziqi, et al.. (2023). Emerging investigator series: a machine learning approach to quantify the impact of meteorology on tropospheric ozone in the inland southern California. Environmental Science Atmospheres. 3(8). 1159–1173. 11 indexed citations

Gao, Ziqi, et al.. (2023). Emissions and meteorological impacts on PM2.5 species concentrations in Southern California using generalized additive modeling. The Science of The Total Environment. 891. 164464–164464. 16 indexed citations

10.

Gao, Ziqi, et al.. (2023). Emissions, meteorological and climate impacts on PM2.5 levels in Southern California using a generalized additive model: Historic trends and future estimates. Chemosphere. 325. 138385–138385. 13 indexed citations

11.

Huang, Ran, Cesunica E. Ivey, Xinxin Zhai, et al.. (2022). Application of an improved gas-constrained source apportionment method using data fused fields: A case study in North Carolina, USA. Atmospheric Environment. 276. 119031–119031. 3 indexed citations

12.

Apte, Joshua S., Jason Hill, Cesunica E. Ivey, et al.. (2022). Location-specific strategies for eliminating US national racial-ethnic PM2.5 exposure inequality. Proceedings of the National Academy of Sciences. 119(44). e2205548119–e2205548119. 53 indexed citations

13.

Gao, Ziqi, et al.. (2022). Predicting peak daily maximum 8 h ozone and linkages to emissions and meteorology in Southern California using machine learning methods (SoCAB-8HR V1.0). Geoscientific model development. 15(24). 9015–9029. 6 indexed citations

14.

Ivey, Cesunica E., et al.. (2019). Embedding online, design-focused data visualization instruction in an upper-division undergraduate atmospheric science course. Journal of Geoscience Education. 68(2). 168–183. 4 indexed citations

15.

Henneman, Lucas, et al.. (2019). Characterizing population exposure to coal emissions sources in the United States using the HyADS model. Atmospheric Environment. 203. 271–280. 26 indexed citations

16.

Huang, Mengjiao, Cesunica E. Ivey, Yongtao Hu, Heather A. Holmes, & Matthew J. Strickland. (2019). Source apportionment of primary and secondary PM2.5: Associations with pediatric respiratory disease emergency department visits in the U.S. State of Georgia. Environment International. 133(Pt A). 105167–105167. 31 indexed citations

17.

Peng, Xing, Jian Gao, Guoliang Shi, et al.. (2018). A Preliminary Assessment of the Impacts of Multiple Temporal-scale Variations in Particulate Matter on its Source Apportionment. Biogeosciences (European Geosciences Union). 2 indexed citations

18.

Shi, Guoliang, Jiayuan Liu, Yingze Tian, et al.. (2017). Source apportionment for fine particulate matter in a Chinese city using an improved gas-constrained method and comparison with multiple receptor models. Environmental Pollution. 233. 1058–1067. 29 indexed citations

19.

Hu, Yongtao, Sivaraman Balachandran, Jorge E. Pachón, et al.. (2014). Fine particulate matter source apportionment using a hybrid chemical transport and receptor model approach. Atmospheric chemistry and physics. 14(11). 5415–5431. 44 indexed citations

20.

Gomes, Tânia A. T., Kristine L. MacDonald, Sônia R. T. S. Ramos, et al.. (1991). Enteropathogens Associated with Acute Diarrheal Disease in Urban Infants in Sao Paulo, Brazil. The Journal of Infectious Diseases. 164(2). 331–337. 206 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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