Mariusz Ptak

2.7k total citations · 1 hit paper
133 papers, 2.0k citations indexed

About

Mariusz Ptak is a scholar working on Water Science and Technology, Ecology and Atmospheric Science. According to data from OpenAlex, Mariusz Ptak has authored 133 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Water Science and Technology, 40 papers in Ecology and 30 papers in Atmospheric Science. Recurrent topics in Mariusz Ptak's work include Integrated Water Resources Management (66 papers), Hydrology and Watershed Management Studies (37 papers) and Fish Ecology and Management Studies (29 papers). Mariusz Ptak is often cited by papers focused on Integrated Water Resources Management (66 papers), Hydrology and Watershed Management Studies (37 papers) and Fish Ecology and Management Studies (29 papers). Mariusz Ptak collaborates with scholars based in Poland, China and Thailand. Mariusz Ptak's co-authors include Adam Choiński, Mariusz Sojka, Senlin Zhu, Dariusz Wrzesiński, Bogumił Nowak, Agnieszka Strzelczak, Salim Heddam, Bellie Sivakumar, Jiangyu Dai and Agnieszka Ławniczak and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and The Science of The Total Environment.

In The Last Decade

Mariusz Ptak

128 papers receiving 2.0k citations

Hit Papers

Lake Water Temperature Modeling in an Era of Climate Chan... 2024 2026 2025 2024 10 20 30 40 50

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mariusz Ptak Poland 26 1.2k 622 482 422 399 133 2.0k
Alison Appling United States 20 992 0.8× 617 1.0× 475 1.0× 386 0.9× 145 0.4× 39 2.0k
Mariusz Sojka Poland 24 870 0.7× 437 0.7× 303 0.6× 280 0.7× 144 0.4× 136 1.7k
Pekka M. Rossi Finland 23 779 0.6× 596 1.0× 349 0.7× 435 1.0× 263 0.7× 69 1.8k
Senlin Zhu China 27 1.2k 1.0× 1.1k 1.8× 300 0.6× 471 1.1× 181 0.5× 112 2.3k
Enner Alcântara Brazil 25 805 0.6× 413 0.7× 418 0.9× 696 1.6× 210 0.5× 135 2.4k
Jia Du China 29 487 0.4× 525 0.8× 571 1.2× 611 1.4× 295 0.7× 91 2.1k
Yi Luo China 21 478 0.4× 598 1.0× 223 0.5× 641 1.5× 213 0.5× 104 1.7k
Wen‐Cheng Liu Taiwan 33 1.1k 0.9× 789 1.3× 665 1.4× 860 2.0× 632 1.6× 150 3.1k
Qing Zhu China 27 672 0.5× 999 1.6× 452 0.9× 411 1.0× 318 0.8× 119 2.6k
Dongguo Shao China 25 992 0.8× 421 0.7× 167 0.3× 530 1.3× 206 0.5× 83 2.0k

Countries citing papers authored by Mariusz Ptak

Since Specialization
Citations

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

Fields of papers citing papers by Mariusz Ptak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariusz Ptak

This figure shows the co-authorship network connecting the top 25 collaborators of Mariusz Ptak. A scholar is included among the top collaborators of Mariusz Ptak 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 Mariusz Ptak. Mariusz Ptak 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.
Ptak, Mariusz, Katarzyna Szyga–Pluta, & Mariusz Sojka. (2025). Long-term trends in water level fluctuations in lowland lakes in central Europe (Northern Poland). Scientific Reports. 15(1). 1216–1216. 3 indexed citations
2.
Zhu, Senlin, et al.. (2024). An optimized NARX-based model for predicting thermal dynamics and heatwaves in rivers. The Science of The Total Environment. 926. 171954–171954. 17 indexed citations
3.
Nunno, Fabio Di, Mariusz Sojka, Mariusz Ptak, et al.. (2024). Long-term daily water temperatures unveil escalating water warming and intensifying heatwaves in the Odra river Basin, Central Europe. Geoscience Frontiers. 15(6). 101916–101916. 8 indexed citations
4.
Sojka, Mariusz & Mariusz Ptak. (2024). Reconstruction of Surface Water Temperature in Lakes as a Source for Long-Term Analysis of Its Changes. Water. 16(23). 3347–3347. 1 indexed citations
5.
Amnuaylojaroen, Teerachai, Mariusz Ptak, & Mariusz Sojka. (2024). Assessment of the Impact of Meteorological Variables on Lake Water Temperature Using the SHapley Additive exPlanations Method. Water. 16(22). 3296–3296. 1 indexed citations
6.
Ptak, Mariusz, Salim Heddam, Soufiane Haddout, Mariusz Sojka, & Teerachai Amnuaylojaroen. (2024). Long-Term Changes in the Thermal and Ice Regime of the Biebrza River (Northeastern Poland) in the Era of Global Warming. Water. 16(22). 3211–3211. 1 indexed citations
7.
Ptak, Mariusz, Teerachai Amnuaylojaroen, & Mariusz Sojka. (2024). Seven Decades of Surface Temperature Changes in Central European Lakes: What Is Next?. Resources. 13(11). 149–149. 2 indexed citations
8.
Piccolroaz, Sebastiano, Senlin Zhu, Robert Ladwig, et al.. (2024). Lake Water Temperature Modeling in an Era of Climate Change: Data Sources, Models, and Future Prospects. Reviews of Geophysics. 62(1). 54 indexed citations breakdown →
9.
Heddam, Salim, Sungwon Kim, Mariusz Ptak, et al.. (2023). River water temperature prediction using hybrid machine learning coupled signal decomposition: EWT versus MODWT. Ecological Informatics. 78. 102376–102376. 17 indexed citations
12.
Kałuża, Tomasz, et al.. (2022). Application of Multi-Criteria Analytic Methods in the Assessment of the Technical Conditions of Small Hydraulic Structures. Buildings. 12(2). 115–115. 11 indexed citations
13.
Nowak, Bogumił, Mariusz Ptak, Katarzyna Szyga–Pluta, & Mariusz Sojka. (2022). Influence of the Jeziorsko Dam Reservoir on Water Flow in the Warta River. Buildings. 12(10). 1624–1624. 4 indexed citations
14.
Heddam, Salim, Sungwon Kim, Ali Danandeh Mehr, et al.. (2022). Bat algorithm optimised extreme learning machine (Bat‐ELM): A novel approach for daily river water temperature modelling. Geographical Journal. 189(1). 78–89. 16 indexed citations
15.
Sojka, Mariusz, Adam Choiński, Mariusz Ptak, & Marcin Siepak. (2021). Causes of variations of trace and rare earth elements concentration in lakes bottom sediments in the Bory Tucholskie National Park, Poland. Scientific Reports. 11(1). 244–244. 31 indexed citations
16.
Sojka, Mariusz, Adam Choiński, Mariusz Ptak, & Marcin Siepak. (2020). The Variability of Lake Water Chemistry in the Bory Tucholskie National Park (Northern Poland). Water. 12(2). 394–394. 11 indexed citations
17.
Zhu, Senlin, Bahrudin Hrnjica, Mariusz Ptak, Adam Choiński, & Bellie Sivakumar. (2020). Forecasting of water level in multiple temperate lakes using machine learning models. Journal of Hydrology. 585. 124819–124819. 130 indexed citations
19.
Ptak, Mariusz. (2013). Zmiany powierzchni i batymetrii wybranych jezior Pojezierza Pomorskiego. 2013(133). 61–76. 6 indexed citations
20.
Choiński, Adam, Agnieszka Ławniczak, Mariusz Ptak, & Leszek Sobkowiak. (2012). Causes of Lake Area Changes in Poland. Journal of Resources and Ecology. 2(2). 175–180. 12 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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