Hamed Karimian

1.7k total citations · 2 hit papers
33 papers, 1.3k citations indexed

About

Hamed Karimian is a scholar working on Environmental Engineering, Health, Toxicology and Mutagenesis and Atmospheric Science. According to data from OpenAlex, Hamed Karimian has authored 33 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Environmental Engineering, 15 papers in Health, Toxicology and Mutagenesis and 11 papers in Atmospheric Science. Recurrent topics in Hamed Karimian's work include Air Quality and Health Impacts (15 papers), Air Quality Monitoring and Forecasting (14 papers) and Atmospheric chemistry and aerosols (10 papers). Hamed Karimian is often cited by papers focused on Air Quality and Health Impacts (15 papers), Air Quality Monitoring and Forecasting (14 papers) and Atmospheric chemistry and aerosols (10 papers). Hamed Karimian collaborates with scholars based in China, United States and Australia. Hamed Karimian's co-authors include Qi Li, Yanlin Qi, Di Liu, Youliang Chen, Jianxia Hou, Qinglin Li, Shaofu Lin, Xu Feng, Chunlin Wu and Xianfeng Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Water Research.

In The Last Decade

Hamed Karimian

32 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A hybrid model for spatiotemporal forecasting of PM2.5 based on graph convolutional neural network and long short-term memory

2019 427 citations Qi Li, Hamed Karimian et al. profile →
Landscape ecological risk assessment and driving factor analysis in Dongjiang river watershed

2022 129 citations Hamed Karimian, Youliang Chen et al. Chemosphere profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hamed Karimian China	17	822	703	305	298	272	33	1.3k
Claudio Carnevale Italy	23	586 0.7×	726 1.0×	333 1.1×	531 1.8×	344 1.3×	79	1.3k
Ujjwal Kumar India	18	449 0.5×	411 0.6×	213 0.7×	230 0.8×	134 0.5×	82	1.3k
Said Munir United Kingdom	17	553 0.7×	687 1.0×	259 0.8×	338 1.1×	207 0.8×	53	965
Marialuisa Volta Italy	24	626 0.8×	896 1.3×	248 0.8×	482 1.6×	429 1.6×	98	1.4k
Ahmad Shukri Yahaya Malaysia	18	410 0.5×	362 0.5×	165 0.5×	194 0.7×	101 0.4×	51	1.1k
Matthias Vogt Norway	16	1.1k 1.4×	1.0k 1.5×	318 1.0×	503 1.7×	339 1.2×	34	1.5k
Yannic Lops United States	15	591 0.7×	494 0.7×	284 0.9×	415 1.4×	72 0.3×	26	841
Hugh Forehead Australia	13	301 0.4×	364 0.5×	132 0.4×	95 0.3×	173 0.6×	23	875
Giovanni Gualtieri Italy	22	764 0.9×	443 0.6×	381 1.2×	365 1.2×	145 0.5×	59	1.6k
Rongzu Qiu China	16	309 0.4×	390 0.6×	414 1.4×	86 0.3×	242 0.9×	28	1.0k

Countries citing papers authored by Hamed Karimian

Since Specialization

Citations

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

Fields of papers citing papers by Hamed Karimian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hamed Karimian

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Fan, Li, et al.. (2025). LMVMamba: A Hybrid U-Shape Mamba for Remote Sensing Segmentation with Adaptation Fine-Tuning. Remote Sensing. 17(19). 3367–3367.

Yang, Tao, Hamed Karimian, Juan Shi, et al.. (2025). MobileYOLO-Cyano: An enhanced deep learning approach for precise classification of cyanobacterial genera in water quality monitoring. Water Research. 285. 124081–124081. 1 indexed citations

Chen, Youliang, et al.. (2025). An integrated modeling framework for PM2.5 source apportionment in the Yangtze River Delta using WRF-CMAQ and ISAM. Atmospheric Pollution Research. 16(10). 102637–102637. 1 indexed citations

Chai, Hongzhou, et al.. (2024). A shipboard integrated navigation algorithm based on smartphone built-in GNSS/IMU/MAG sensors. Advances in Space Research. 74(10). 4673–4687. 1 indexed citations

Wang, Haochen, Juan Shi, Hamed Karimian, Fucheng Liu, & Fei Wang. (2024). YOLOSAR-Lite: a lightweight framework for real-time ship detection in SAR imagery. International Journal of Digital Earth. 17(1). 10 indexed citations

Yang, Yi, et al.. (2023). Unveiling the air pollution tapestry in China: A comprehensive assessment of spatiotemporal variations through geographically and temporally weighted regression. Atmospheric Pollution Research. 15(2). 101987–101987. 10 indexed citations

Chen, Youliang, et al.. (2023). Mapping Provincial Stocks and Wastes of Passenger-Vehicle Plastics in China Based on Dynamic Material Flow Analysis and GIS: 1985–2019. Sustainability. 15(9). 7230–7230. 3 indexed citations

Karimian, Hamed, et al.. (2023). A novel framework to predict chlorophyll-a concentrations in water bodies through multi-source big data and machine learning algorithms. Environmental Science and Pollution Research. 30(32). 79402–79422. 11 indexed citations

Karimian, Hamed, Qin Fan, Qun Li, Youliang Chen, & Juan Shi. (2023). Spatiotemporal transmission of infectious particles in environment: A case study of Covid-19. Chemosphere. 335. 139065–139065. 4 indexed citations

10.

Chen, Youliang, et al.. (2022). Spatio-temporal variation of ozone pollution risk and its influencing factors in China based on Geodetector and Geospatial models. Chemosphere. 302. 134843–134843. 69 indexed citations

11.

Karimian, Hamed, et al.. (2022). Landscape ecological risk assessment and driving factor analysis in Dongjiang river watershed. Chemosphere. 307(Pt 3). 135835–135835. 129 indexed citations breakdown →

12.

Chen, Youliang, et al.. (2022). Mapping the social stock and spatiotemporal distribution of high-tech minerals from wasted mobile phones in China: 2001–2019. Environmental Science and Pollution Research. 30(12). 34306–34318. 3 indexed citations

13.

Karimian, Hamed, et al.. (2022). Evaluation of different machine learning approaches and aerosol optical depth in PM2.5 prediction. Environmental Research. 216(Pt 2). 114465–114465. 41 indexed citations

14.

Chen, Youliang, et al.. (2021). Spatio-temporal distribution characteristics and influencing factors of COVID-19 in China. Scientific Reports. 11(1). 3717–3717. 32 indexed citations

15.

Li, Qi, et al.. (2020). Daily spatiotemporal prediction of surface ozone at the national level in China: An improvement of CAMS ozone product. Atmospheric Pollution Research. 12(1). 391–402. 27 indexed citations

16.

Li, Qi, et al.. (2019). A novel framework for daily forecasting of ozone mass concentrations based on cycle reservoir with regular jumps neural networks. Atmospheric Environment. 220. 117072–117072. 40 indexed citations

17.

Li, Qinglin, et al.. (2017). A Spatiotemporal Prediction Framework for Air Pollution Based on Deep RNN. SHILAP Revista de lepidopterología. IV-4/W2. 15–22. 125 indexed citations

18.

Karimian, Hamed, et al.. (2015). Do Social Media Marketing Activities Increase Brand Equity? - TI Journals. 2 indexed citations

19.

Karimian, Hamed, et al.. (2015). The Effect of Brand Communication on Brand Equity. Asian Journal of Research in Business Economics and Management. 5(2). 157–157. 1 indexed citations

20.

Karimian, Hamed, et al.. (2015). An Improved Method for Monitoring Fine Particulate Matter Mass Concentrations via Satellite Remote Sensing. Aerosol and Air Quality Research. 16(4). 1081–1092. 32 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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