Daniel Gebler

1.1k citations
51 papers · 652 · h-index 14

Impact in

Papers in

Daniel Gebler

50 papers receiving 646 citations

Peers

Daniel Gebler
Comparison fields: 5 of 65
  • Environmental Chemistry 149
  • Water Science and Technology 186
  • Nature and Landscape Conservation 127
  • Ecology 229
  • Computational Theory and Mathematics 127
Replace Veronique Adriaenssens with:
Veronique Adriaenssens Belgium
William J. Walley United Kingdom
George Mueller-Warrant United States
Niina Kotamäki Finland
Botian Zhou China
Carolina Crisci Uruguay
George Tsirtsis Greece
Mohammad Abouali United States
J. Stevenson Macdonald Canada
Clemens Beckstein Germany
Daniel Gebler relative to Veronique Adriaenssens Belgium Veronique Adriaenssens's profile →
Citations per field
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Veronique Adriaenssens · 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 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019133
2 201875
3 201943
4 201427
5 201624
6 201323
7 201722
8 202122
9 202321
10 202018
11 201517
12 201515
13 202014
14 201613
15 201412
16 201412
17 201211
18 201611
19 201710
20 202110

About Daniel Gebler

Daniel Gebler is a scholar working on Water Science and Technology, Artificial Intelligence, Ecology, Computational Theory and Mathematics and Environmental Chemistry, having authored 51 papers that have together received 652 indexed citations. Recurring topics across this work include Formal Methods in Verification (13 papers), Hydrology and Watershed Management Studies (11 papers), Freshwater macroinvertebrate diversity and ecology (10 papers), Logic, Reasoning, and Knowledge (10 papers), Hydrology and Sediment Transport Processes (7 papers), Semantic Web and Ontologies (7 papers), Aquatic Ecosystems and Phytoplankton Dynamics (6 papers) and Logic, programming, and type systems (6 papers). The work is most often cited by research in Environmental Chemistry (149 citations), Water Science and Technology (186 citations), Nature and Landscape Conservation (127 citations), Ecology (229 citations) and Computational Theory and Mathematics (127 citations). Daniel Gebler has collaborated with scholars based in Poland, Netherlands and Germany. Frequent co-authors include Krzysztof Szoszkiewicz, Gerhard Wiegleb, Simone Tini, Szymon Jusik, Anna Budka, Dariusz Kayzer, Pedro R. D’Argenio, Valentina Castiglioni, Karina Fidanza and Eugenio Molina‐Navarro. Their work appears in journals such as Water, The Science of The Total Environment, Environmental Science and Pollution Research, Ecological Indicators 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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