Daniel Gebler

1.0k citations
41 papers · 506 indexed · h-index 13

Impact in

Papers in

Daniel Gebler

39 papers receiving 497 citations

Peers

Daniel Gebler
Comparison fields: 5 of 59
  • Environmental Chemistry 133
  • Water Science and Technology 180
  • Nature and Landscape Conservation 120
  • Ecology 214
  • Environmental Engineering 84
Replace Niina Kotamäki with:
Niina Kotamäki Finland
Veronique Adriaenssens Belgium
William J. Walley United Kingdom
Wim Gabriëls Belgium
Tyler Christensen United States
Waterloo Pereira Filho Brazil
Μαρία Λαζαρίδου Greece
Dorota Michalska-Hejduk Poland
Nicole K. Ward United States
Sylvia Mota de Oliveira Netherlands
Daniel Gebler relative to Niina Kotamäki Finland Niina Kotamäki's profile →
Citations per field
00.5×3.6×
Niina Kotamäki · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Daniel Gebler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Gebler Line = papers co-authored together Daniel Gebler links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019111
2 201872
3 201939
4 201624
5 201323
6 202122
7 201722
8 202320
9 202016
10 201515
11 201514
12 202013
13 201412
14 20219
15 20169
16 20218
17 20168
18 20227
19 20177
20 20156

About Daniel Gebler

Daniel Gebler is a scholar working on Water Science and Technology, Environmental Chemistry, Ecology, Environmental Engineering and Computational Theory and Mathematics, having authored 41 papers that have together received 506 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (11 papers), Freshwater macroinvertebrate diversity and ecology (10 papers), Hydrology and Sediment Transport Processes (7 papers), Aquatic Ecosystems and Phytoplankton Dynamics (6 papers), Formal Methods in Verification (6 papers), Integrated Water Resources Management (6 papers), Water Quality and Pollution Assessment (5 papers) and Hydrological Forecasting Using AI (5 papers). The work is most often cited by research in Environmental Chemistry (133 citations), Water Science and Technology (180 citations), Nature and Landscape Conservation (120 citations), Ecology (214 citations) and Environmental Engineering (84 citations). Daniel Gebler has collaborated with scholars based in Poland, Netherlands and Italy. Frequent co-authors include Krzysztof Szoszkiewicz, Gerhard Wiegleb, Szymon Jusik, Simone Tini, Dariusz Kayzer, Anna Budka, Mohammad Najafzadeh, Michael Kennedy, Lars Baastrup‐Spohr and Irina Springuel. Their work appears in journals such as Water, The Science of The Total Environment, Ecological Indicators, Environmental Science and Pollution Research and Hydrobiologia.

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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