Ute Mueller

84 papers receiving 1.3k citations

Hit Papers

A marine heatwave drives massive losses from the world’s largest seagrass carbon stocks 2018 · 352 citations
3522018202620202023100200300

Peers

Ute Mueller
Comparison fields: 5 of 136
  • Oceanography 293
  • Environmental Engineering 298
  • Artificial Intelligence 426
  • Global and Planetary Change 270
  • Ecology 319
Replace Hans Wackernagel with:
Hans Wackernagel France
Rosa Filgueira Vicente United Kingdom
Andy Bell United Kingdom
David J. Lary United States
T. F. Stepinski United States
Giuseppe Ciraolo Italy
Charalampos Kontoes Greece
Montserrat Fuentes United States
T. Subba Rao India
Shengbo Chen China
Ute Mueller relative to Hans Wackernagel France Hans Wackernagel's profile →
Citations per field
00.5×1.7×
Hans Wackernagel · 1×
Citations per year

Countries citing papers authored by Ute Mueller

Since Specialization
Citations

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

Fields of papers citing papers by Ute Mueller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ute Mueller, 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 Ute Mueller Line = papers co-authored together Ute Mueller links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A marine heatwave drives massive losses from the world’s largest seagrass carbon stocks
Hit paper breakdown →
2018352
2 201399
3 202095
4 199585
5 201849
6 201842
7 201634
8 201633
9 201730
10 201228
11 201826
12 202224
13 201623
14 201521
15 201821
16 201821
17 200721
18 201919
19 201719
20 202015

About Ute Mueller

Ute Mueller is a scholar working on Modeling and Simulation, Environmental Engineering, Nature and Landscape Conservation, Global and Planetary Change and Artificial Intelligence, having authored 91 papers that have together received 1.3k indexed citations. Recurring topics across this work include Geochemistry and Geologic Mapping (23 papers), Soil Geostatistics and Mapping (21 papers), Marine and fisheries research (16 papers), Fish Ecology and Management Studies (15 papers), Mineral Processing and Grinding (9 papers), Mathematics Education and Teaching Techniques (7 papers), Mathematics Education and Programs (6 papers) and Marine Bivalve and Aquaculture Studies (6 papers). The work is most often cited by research in Oceanography (293 citations), Environmental Engineering (298 citations), Artificial Intelligence (426 citations), Global and Planetary Change (270 citations) and Ecology (319 citations). Ute Mueller has collaborated with scholars based in Australia, Germany and Canada. Frequent co-authors include Eric Grunsky, Raimon Tolosana‐Delgado, K. Gerald van den Boogaart, Ebenezer Afrifa‐Yamoah, Stephen M. Taylor, D Corrigan, Miguel Á. Mateo, Mohammad Rozaimi, Michael J. Rule and Óscar Serrano. Their work appears in journals such as Australasian Journal of Paramedicine, Fisheries Research, Mathematical Geosciences, Atmospheric Environment and Marine and Freshwater Research.

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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