Renata Graf

736 total citations
44 papers, 530 citations indexed

About

Renata Graf is a scholar working on Water Science and Technology, Environmental Engineering and Atmospheric Science. According to data from OpenAlex, Renata Graf has authored 44 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Water Science and Technology, 19 papers in Environmental Engineering and 10 papers in Atmospheric Science. Recurrent topics in Renata Graf's work include Hydrology and Watershed Management Studies (18 papers), Hydrological Forecasting Using AI (16 papers) and Fish Ecology and Management Studies (9 papers). Renata Graf is often cited by papers focused on Hydrology and Watershed Management Studies (18 papers), Hydrological Forecasting Using AI (16 papers) and Fish Ecology and Management Studies (9 papers). Renata Graf collaborates with scholars based in Poland, China and Iran. Renata Graf's co-authors include Senlin Zhu, Bellie Sivakumar, Dariusz Wrzesiński, Pouya Aghelpour, Mariusz Sojka, Arkadiusz M. Tomczyk, Mariusz Ptak, Adam Choiński, Bogumił Nowak and Amaury de Souza and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Resources Research and Journal of Hydrology.

In The Last Decade

Renata Graf

42 papers receiving 520 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Renata Graf Poland 14 298 297 154 135 109 44 530
Lingling Ni China 9 345 1.2× 396 1.3× 298 1.9× 56 0.4× 63 0.6× 13 620
Murat Ay Türkiye 9 365 1.2× 285 1.0× 358 2.3× 29 0.2× 109 1.0× 21 701
Jian Sha China 13 348 1.2× 238 0.8× 209 1.4× 23 0.2× 46 0.4× 26 527
Toshiharu Kojiri Japan 14 464 1.6× 232 0.8× 321 2.1× 69 0.5× 88 0.8× 65 752
Zoubeïda Bargaoui Tunisia 15 328 1.1× 196 0.7× 473 3.1× 33 0.2× 231 2.1× 48 702
Kabir Rasouli Canada 14 426 1.4× 263 0.9× 361 2.3× 20 0.1× 317 2.9× 29 771
Meysam Salarijazi Iran 13 261 0.9× 144 0.5× 209 1.4× 31 0.2× 52 0.5× 45 489
Omid Asadi Nalivan Iran 12 224 0.8× 315 1.1× 369 2.4× 63 0.5× 62 0.6× 22 674
Kuai Fang United States 8 406 1.4× 464 1.6× 307 2.0× 19 0.1× 134 1.2× 17 653

Countries citing papers authored by Renata Graf

Since Specialization
Citations

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

Fields of papers citing papers by Renata Graf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renata Graf

This figure shows the co-authorship network connecting the top 25 collaborators of Renata Graf. A scholar is included among the top collaborators of Renata Graf 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 Renata Graf. Renata Graf 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.
Iliopoulou, Theano, et al.. (2025). Flood risk assessment of cultural heritage sites near lakes via advanced hydrodynamic modeling and digital technologies. Results in Engineering. 28. 107977–107977.
2.
Nunno, Fabio Di, Mariusz Sojka, Renata Graf, et al.. (2025). River Thermal Dynamics and Heatwaves of Polish Rivers Under Climate Change. Water Resources Research. 61(5). 2 indexed citations
3.
Graf, Renata, Dariusz Wrzesiński, Yi Luo, et al.. (2025). Impact of extreme atmospheric heat events on river thermal dynamics and heatwaves. Journal of Hydrology. 659. 133292–133292. 2 indexed citations
4.
Dong, Wentao, Bartosz Czernecki, Renata Graf, et al.. (2025). Projected river water temperatures in Poland under climate change scenarios. Journal of Hydrology Regional Studies. 59. 102368–102368. 2 indexed citations
5.
Graf, Renata, et al.. (2024). Thermal regime of the Vistula River mouth and the Gdańsk Bay. Geographia Polonica. 96(4). 459–471. 1 indexed citations
6.
Aghelpour, Pouya, et al.. (2023). Coupling ANFIS with ant colony optimization (ACO) algorithm for 1-, 2-, and 3-days ahead forecasting of daily streamflow, a case study in Poland. Environmental Science and Pollution Research. 30(19). 56440–56463. 21 indexed citations
7.
Souza, Amaury de, et al.. (2022). Climate Regionalization in Mato Grosso do Sul: a Combination of Hierarchical and Non-hierarchical Clustering Analyses Based on Precipitation and Temperature. Brazilian Archives of Biology and Technology. 65. 12 indexed citations
8.
Aghelpour, Pouya, et al.. (2022). Evaluating the Impact of Large-Scale Climatic Indices as Inputs for Forecasting Monthly River Flow in Mazandaran Province, Iran. Pure and Applied Geophysics. 179(4). 1309–1331. 6 indexed citations
9.
Souza, Amaury de, et al.. (2022). Modeling of the air temperature using the Extreme Value Theory for selected biomes in Mato Grosso do Sul (Brazil). Stochastic Environmental Research and Risk Assessment. 36(10). 3499–3516. 4 indexed citations
10.
Souza, Amaury de, et al.. (2022). EVALUATION OF TRMM 3B43V7 SATELLITE PRECIPITATION IN THE PANTANAL OF MATO GROSSO DO SUL IN THE YEARS 1998 TO 2019. Mercator. 21(1). 1–17. 1 indexed citations
11.
Graf, Renata & Pouya Aghelpour. (2021). Daily River Water Temperature Prediction: A Comparison between Neural Network and Stochastic Techniques. Atmosphere. 12(9). 1154–1154. 27 indexed citations
12.
Souza, Amaury de, et al.. (2021). NIGHTLY OZONE CONCENTRATIONS AT GROUND LEVEL IN THE MIDWEST OF BRAZIL: NO AND NO2 CONCENTRATION ASSIGNMENTS. European Chemical Bulletin. 10(4). 191–198. 2 indexed citations
13.
Graf, Renata, Senlin Zhu, & Bellie Sivakumar. (2019). Forecasting river water temperature time series using a wavelet–neural network hybrid modelling approach. Journal of Hydrology. 578. 124115–124115. 146 indexed citations
14.
Graf, Renata, et al.. (2018). The analysis of the structure and duration of ice phenomena on the Warta River in relation to thermic conditions in the years 1991-2010.. 18(64). 5–28. 8 indexed citations
15.
Graf, Renata, et al.. (2015). Ocena stanu pylastych odpadów poflotacyjnych na podstawie wskaźnika konsystencji. Inżynieria Morska i Geotechnika. 1 indexed citations
16.
Graf, Renata, et al.. (2014). Estimation of Shallow Groundwater Recharge Using a Gis-Based Distributed Water Balance Model. Quaestiones Geographicae. 33(3). 27–37. 18 indexed citations
17.
Graf, Renata & Leszek Sobkowiak. (2012). Usefulness of hydrographic and sozological databases in ecological studies of rivers in Poland. Ecological Questions. 16. 109–109. 1 indexed citations
18.
Graf, Renata, et al.. (2009). Komu potrzebne dane tematyczne. 31–34.
19.
Graf, Renata, et al.. (2008). Sposoby przedstawiania elementow srodowiskowych na XVII- i XVIII-wiecznych planach Poznania i ich wiarygodnosc. Przegląd Geograficzny. Polska Akademia Nauk. 80(3). 343–360. 1 indexed citations
20.
Graf, Renata & Robert Olszewski. (2006). Wykorzystanie bazy danych HYDRO dla potrzeb zarządzania zasobami wodnymi w sytuacjach kryzysowych. Roczniki Geomatyki - Annals of Geomatics. 4(1). 85–94. 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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