Daniel Gebler

1.0k total citations
41 papers, 506 citations indexed

About

Daniel Gebler is a scholar working on Water Science and Technology, Ecology and Artificial Intelligence. According to data from OpenAlex, Daniel Gebler has authored 41 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Water Science and Technology, 17 papers in Ecology and 11 papers in Artificial Intelligence. Recurrent topics in Daniel Gebler's work include Hydrology and Watershed Management Studies (11 papers), Freshwater macroinvertebrate diversity and ecology (10 papers) and Hydrology and Sediment Transport Processes (7 papers). Daniel Gebler is often cited by papers focused on Hydrology and Watershed Management Studies (11 papers), Freshwater macroinvertebrate diversity and ecology (10 papers) and Hydrology and Sediment Transport Processes (7 papers). Daniel Gebler collaborates with scholars based in Poland, Netherlands and Italy. Daniel Gebler's co-authors include Krzysztof Szoszkiewicz, Gerhard Wiegleb, Simone Tini, Szymon Jusik, Anna Budka, Dariusz Kayzer, Mohammad Najafzadeh, Karina Fidanza, Lars Baastrup‐Spohr and Eric D. Dibble 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

Daniel Gebler

39 papers receiving 497 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Gebler Poland 13 214 180 133 120 84 41 506
Veronique Adriaenssens Belgium 6 196 0.9× 151 0.8× 51 0.4× 196 1.6× 94 1.1× 10 530
Niina Kotamäki Finland 12 175 0.8× 157 0.9× 158 1.2× 101 0.8× 52 0.6× 25 527
Wim Gabriëls Belgium 8 493 2.3× 196 1.1× 99 0.7× 341 2.8× 101 1.2× 17 719
William J. Walley United Kingdom 11 284 1.3× 123 0.7× 60 0.5× 220 1.8× 68 0.8× 31 456
Caley K. Gasch United States 12 217 1.0× 22 0.1× 48 0.4× 61 0.5× 110 1.3× 32 527
Μαρία Λαζαρίδου Greece 13 306 1.4× 117 0.7× 85 0.6× 170 1.4× 64 0.8× 42 644
Kristin Vanderbilt United States 11 171 0.8× 83 0.5× 117 0.9× 128 1.1× 23 0.3× 23 551
Tyler Christensen United States 7 359 1.7× 63 0.3× 42 0.3× 40 0.3× 44 0.5× 11 723
Henning Mejer Denmark 8 151 0.7× 56 0.3× 128 1.0× 71 0.6× 387 4.6× 12 643
Panpan Ma China 12 174 0.8× 107 0.6× 53 0.4× 39 0.3× 24 0.3× 18 456

Countries citing papers authored by Daniel Gebler

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Gebler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Gebler

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Gebler. A scholar is included among the top collaborators of Daniel Gebler 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 Daniel Gebler. Daniel Gebler 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.
Szoszkiewicz, Krzysztof, Daniel Gebler, Szymon Jusik, et al.. (2025). Diversification of macrophytes within aquatic nature-based solutions (NBS) developing under urban environmental conditions across European cities. Ecological Indicators. 172. 113331–113331. 1 indexed citations
2.
Gebler, Daniel, Pedro Segurado, María Teresa Ferreira, & Francisca C. Aguiar. (2024). Predicting freshwater biological quality using macrophytes: A comparison of empirical modelling approaches. Environmental Science and Pollution Research. 31(56). 65092–65108.
3.
Najafzadeh, Mohammad, et al.. (2023). Ecological states of watercourses regarding water quality parameters and hydromorphological parameters: deriving empirical equations by machine learning models. Stochastic Environmental Research and Risk Assessment. 38(2). 665–688. 20 indexed citations
4.
Gebler, Daniel & Krzysztof Szoszkiewicz. (2022). Response of Aquatic Plants to Extreme Alterations in River Morphology. Water. 14(22). 3746–3746. 5 indexed citations
5.
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7.
Rivaes, Rui, Maria João Feio, Salomé F.P. Almeida, et al.. (2021). River ecosystem endangerment from climate change-driven regulated flow regimes. The Science of The Total Environment. 818. 151857–151857. 22 indexed citations
8.
Rivaes, Rui, Maria João Feio, Salomé F.P. Almeida, et al.. (2021). Multi-biologic group analysis for an ecosystem response to longitudinal river regulation gradients. The Science of The Total Environment. 767. 144327–144327. 9 indexed citations
9.
Szoszkiewicz, Krzysztof, et al.. (2020). Hydromorphological Index for Rivers: A New Method for Hydromorphological Assessment and Classification for Flowing Waters in Poland. Journal of Ecological Engineering. 21(8). 261–271. 16 indexed citations
10.
Szoszkiewicz, Krzysztof, et al.. (2019). The Macrophyte Index for Rivers (MIR) as an Advantageous Approach to Running Water Assessment in Local Geographical Conditions. Water. 12(1). 108–108. 39 indexed citations
11.
Murphy, Kevin, А. Н. Ефремов, Thomas A. Davidson, et al.. (2019). World distribution, diversity and endemism of aquatic macrophytes. Aquatic Botany. 158. 103127–103127. 111 indexed citations
12.
Gebler, Daniel & Simone Tini. (2017). SOS specifications for uniformly continuous operators. Journal of Computer and System Sciences. 92. 113–151. 7 indexed citations
13.
D’Argenio, Pedro R., et al.. (2016). A general SOS theory for the specification of probabilistic transition systems. Information and Computation. 249. 76–109. 5 indexed citations
14.
Dehnert, Christian, et al.. (2014). On Abstraction of Probabilistic Systems. Lecture notes in computer science. 87–116. 2 indexed citations
15.
Gebler, Daniel, et al.. (2013). DIVERSITY OF HYDROMORPHOLOGICAL CONDITIONS OF RIVERS IN THE LOWLAND AND MOUNTAIN CATCHMENT SCALE. 7(4). 4 indexed citations
16.
Szoszkiewicz, Krzysztof & Daniel Gebler. (2012). Publikacja: Polska wersja systemu oceny stanu hydromorfologicznego rzek River Habitat Survey - nowe zastosowania w praktyce. GOSPODARKA WODNA. 141–146. 1 indexed citations
17.
Gebler, Daniel & Szymon Jusik. (2012). Syntetyczne wskazniki hydromorfologiczne w metodzie RHS jako element wspierający ocenę stanu ekologicznego rzek wyżynnych i górskich. Scientific Review Engineering and Environmental Sciences (SREES). 2012. 3–11. 3 indexed citations
18.
Szoszkiewicz, Krzysztof & Daniel Gebler. (2011). Ocena warunków hydromorfologicznych rzek w Polsce metodą River Habitat Survey. Ochrona Środowiska i Zasobów Naturalnych. 2 indexed citations
19.
Gebler, Daniel & Krzysztof Szoszkiewicz. (2011). Ocena stanu ekologicznego rzek z wykorzystaniem makrofitów na wybranych przykładach. 2011. 75–83. 1 indexed citations
20.
Gebler, Daniel & Krzysztof Szoszkiewicz. (2011). Ecological status assessment of rivers using macrophytes on selected examples. Scientific Review Engineering and Environmental Sciences (SREES). 2011. 75–83. 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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