Jan Adamowski

24.6k total citations · 9 hit papers
397 papers, 19.4k citations indexed

About

Jan Adamowski is a scholar working on Global and Planetary Change, Environmental Engineering and Water Science and Technology. According to data from OpenAlex, Jan Adamowski has authored 397 papers receiving a total of 19.4k indexed citations (citations by other indexed papers that have themselves been cited), including 169 papers in Global and Planetary Change, 146 papers in Environmental Engineering and 145 papers in Water Science and Technology. Recurrent topics in Jan Adamowski's work include Hydrology and Watershed Management Studies (100 papers), Hydrological Forecasting Using AI (97 papers) and Hydrology and Drought Analysis (72 papers). Jan Adamowski is often cited by papers focused on Hydrology and Watershed Management Studies (100 papers), Hydrological Forecasting Using AI (97 papers) and Hydrology and Drought Analysis (72 papers). Jan Adamowski collaborates with scholars based in Canada, Iran and China. Jan Adamowski's co-authors include John Quilty, Rahim Barzegar, Ravinesh C. Deo, Bahaa Khalil, Bogdan Ozga-Zieliński, Anteneh Belayneh, Özgür Kişi, Mukesh Tiwari, Shiv O. Prasher and D. Nalley and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Jan Adamowski

389 papers receiving 18.9k citations

Hit Papers

An ensemble prediction of... 2011 2026 2016 2021 2018 2014 2019 2011 2013 100 200 300 400 500
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.

  1. An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines
    2018 592 citations Jan Adamowski et al. profile →
  2. Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review
    2014 591 citations Jan Adamowski et al. profile →
  3. A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods
    2019 545 citations Jan Adamowski et al. profile →
  4. A wavelet neural network conjunction model for groundwater level forecasting
    2011 524 citations Jan Adamowski et al. profile →
  5. Long-term SPI drought forecasting in the Awash River Basin in Ethiopia using wavelet neural network and wavelet support vector regression models
    2013 396 citations Jan Adamowski et al. profile →
  6. Short-term water quality variable prediction using a hybrid CNN–LSTM deep learning model
    2020 386 citations Jan Adamowski et al. profile →
  7. Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network methods for urban water demand forecasting in Montreal, Canada
    2011 383 citations Jan Adamowski et al. profile →
  8. A century of observations reveals increasing likelihood of continental-scale compound dry-hot extremes
    2020 226 citations Mohammad Reza Alizadeh, Jan Adamowski et al. profile →
  9. Plastics can be used more sustainably in agriculture
    2023 130 citations Jan Adamowski et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jan Adamowski 8.8k 8.3k 7.1k 2.3k 2.1k 397 19.4k
Kwok‐wing Chau 5.3k 0.6× 9.3k 1.1× 7.5k 1.1× 3.5k 1.5× 1.4k 0.6× 370 24.8k
Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬ 5.3k 0.6× 8.8k 1.1× 7.6k 1.1× 2.7k 1.2× 1.4k 0.6× 557 20.4k
Nadhir Al‐Ansari 5.5k 0.6× 5.0k 0.6× 4.9k 0.7× 980 0.4× 1.4k 0.6× 769 16.6k
Ahmed El‐Shafie 4.0k 0.5× 8.0k 1.0× 7.0k 1.0× 2.5k 1.1× 882 0.4× 459 16.1k
Ravinesh C. Deo 4.4k 0.5× 5.8k 0.7× 3.3k 0.5× 3.4k 1.5× 1.3k 0.6× 306 14.8k
Holger R. Maier 4.5k 0.5× 7.3k 0.9× 6.9k 1.0× 1.5k 0.7× 744 0.3× 317 17.2k
Shamsuddin Shahid 11.9k 1.4× 4.9k 0.6× 5.1k 0.7× 697 0.3× 4.7k 2.2× 476 18.4k
Vahid Nourani 3.7k 0.4× 6.0k 0.7× 4.7k 0.7× 1.3k 0.5× 1.0k 0.5× 298 9.8k
Özgür Kişi 11.7k 1.3× 18.4k 2.2× 13.1k 1.8× 4.8k 2.1× 2.6k 1.2× 606 30.6k
Zhifeng Yang 5.2k 0.6× 6.2k 0.7× 6.2k 0.9× 563 0.2× 1.1k 0.5× 648 23.7k

Countries citing papers authored by Jan Adamowski

Since Specialization
Citations

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

Fields of papers citing papers by Jan Adamowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Adamowski

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Adamowski. A scholar is included among the top collaborators of Jan Adamowski 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 Jan Adamowski. Jan Adamowski 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
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Al-Wardy, Malik, Mohammad Reza Nikoo, Mohammad Reza Alizadeh, et al.. (2024). Soil erosion in the United States: Present and future (2020–2050). CATENA. 242. 108074–108074. 14 indexed citations
3.
Cao, Jianjun, Yumei Li, Asim Biswas, et al.. (2024). Grassland biomass allocation across continents and grazing practices and its response to climate and altitude. Agricultural and Forest Meteorology. 356. 110176–110176. 7 indexed citations
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Adamowski, Jan, et al.. (2024). Optimal resource reallocation can achieve water conservation, emissions reduction, and improve irrigated agricultural systems. Agricultural Systems. 221. 104106–104106. 8 indexed citations
6.
Tian, Guiliang, et al.. (2024). Interregional imbalance in the Yellow River Basin: Insights from flood-sediment transport, socioeconomic, and environmental subsystems. Journal of Environmental Management. 371. 123295–123295. 5 indexed citations
7.
Malard, Julien, et al.. (2023). Dynamically coupling system dynamics and SWAT+ models using Tinamït: application of modular tools for coupled human–water system models. Hydrology and earth system sciences. 27(8). 1683–1693. 3 indexed citations
8.
Cao, Jianjun, et al.. (2023). A context-dependent response of soil carbon and nitrogen to grazing exclusion: Evidence from a global meta-analysis. Journal of Cleaner Production. 434. 139792–139792. 11 indexed citations
9.
Jin, Haoyu, et al.. (2023). Determination of duration, threshold and spatiotemporal distribution of extreme continuous precipitation in nine major river basins in China. Atmospheric Research. 300. 107217–107217. 2 indexed citations
10.
Nikoo, Mohammad Reza, et al.. (2023). Multi-objective optimization of hydrant flushing in a water distribution system using a fast hybrid technique. Journal of Environmental Management. 334. 117463–117463. 4 indexed citations
11.
Wu, Mengyang, et al.. (2023). Blue-green water migration and utilization efficiency under various irrigation-drainage measures applied to a paddy field. Journal of Hydrology Regional Studies. 51. 101641–101641. 2 indexed citations
12.
Talebbeydokhti, Nasser, et al.. (2023). A fusion-based data assimilation framework for runoff prediction considering multiple sources of precipitation. Hydrological Sciences Journal. 68(4). 614–629. 6 indexed citations
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Yeom, Jong‐Min, Ravinesh C. Deo, Jan Adamowski, Seonyoung Park, & Chang-Suck Lee. (2020). Spatial mapping of short-term solar radiation prediction incorporating geostationary satellite images coupled with deep convolutional LSTM networks for South Korea. Environmental Research Letters. 15(9). 94025–94025. 31 indexed citations
15.
Amiri, Bahman Jabbarian, Junfeng Gao, Nicola Fohrer, & Jan Adamowski. (2019). Regionalizing time of concentration using landscape structural patterns of catchments. Journal of Hydrology and Hydromechanics. 67(2). 135–142. 7 indexed citations
16.
Vadiati, Meysam, et al.. (2019). A hydrogeological-based multi-criteria method for assessing the vulnerability of coastal aquifers to saltwater intrusion. Environmental Earth Sciences. 78(17). 16 indexed citations
17.
Amiri, Bahman Jabbarian, Junfeng Gao, Nicola Fohrer, Jan Adamowski, & Jiacong Huang. (2019). Examining lag time using the landscape, pedoscape and lithoscape metrics of catchments. Ecological Indicators. 105. 36–46. 19 indexed citations
18.
Medema, Wietske, et al.. (2018). Assessing the benefits of serious games to support sustainable decision-making for transboundary watershed governance. Canadian Water Resources Journal / Revue canadienne des ressources hydriques. 43(4). 401–415. 9 indexed citations
19.
Adamowski, Jan, et al.. (2018). Effect of Land Use Change on Soil Carbon Storage over the Last 40 Years in the Shi Yang River Basin, China. Land. 7(1). 11–11. 26 indexed citations
20.
Cao, Jianjun, Emily T. Yeh, Nicholas M. Holden, et al.. (2017). Impact of grassland contract policy on soil organic carbon losses from alpine grassland on the Qinghai–Tibetan Plateau. Soil Use and Management. 33(4). 663–671. 23 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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