Gerd Weigmann

724 citations
47 papers · 624 · h-index 12

Impact in

Papers in

Gerd Weigmann

47 papers receiving 591 citations

Peers

Gerd Weigmann
Comparison fields: 5 of 38
  • Ecology, Evolution, Behavior and Systematics 489
  • Ecology 46
  • Pollution 22
  • Genetics 53
  • Soil Science 25
Replace Pieter Theron with:
Pieter Theron South Africa
Anna Seniczak Poland
Stanisław Seniczak Poland
Anatoly Babenko Russia
Loris Galli Italy
Daniel F. Marchán Spain
Vítězslav Plášek Czechia
Natalia A. Kuznetsova Russia
Ricarda Lehmitz Germany
Elena N. Melekhina Russia
Gerd Weigmann relative to Pieter Theron South Africa Pieter Theron's profile →
Citations per field
00.5×2×3.1×
Pieter Theron · 1×
Citations per year

Countries citing papers authored by Gerd Weigmann

Since Specialization
Citations

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

Fields of papers citing papers by Gerd Weigmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200487
2 201172
3 200362
4 200748
5 200829
6 200628
7 200626
8 198723
9 201322
10 201015
11 197513
12 199113
13 199710
14 201010
15 19999
16
Das Untere Odertal
19998
17
The body segmentation of oribatid mites from a phylogenetic perspective.
20018
18 20158
19 19887
20 20057

About Gerd Weigmann

Gerd Weigmann is a scholar working on Ecology, Evolution, Behavior and Systematics, Pollution, Management, Monitoring, Policy and Law, Health, Toxicology and Mutagenesis and Renewable Energy, Sustainability and the Environment, having authored 47 papers that have together received 624 indexed citations. Recurring topics across this work include Study of Mite Species (39 papers), Pesticide and Herbicide Environmental Studies (2 papers), Environmental and Ecological Studies (2 papers), Environmental Toxicology and Ecotoxicology (2 papers), Mathematical and Theoretical Epidemiology and Ecology Models (1 paper), Heavy metals in environment (1 paper), Sustainable Development and Environmental Management (1 paper) and Environmental, Ecological, and Cultural Studies (1 paper). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (489 citations), Ecology (46 citations), Pollution (22 citations), Genetics (53 citations) and Soil Science (25 citations). Gerd Weigmann has collaborated with scholars based in Germany, United States and Russia. Frequent co-authors include Michael Heethoff, Roy A. Norton, Stefan Scheu, Mark Maraun, Michael Laumann, Günther Raspotnig, Richard H. Thomas, Silvia Pieper, Sergey G. Ermilov and Maka Murvanidze. Their work appears in journals such as Zootaxa, Pedobiologia, Zoosystematics and Evolution, Experimental and Applied Acarology and Biology and Fertility of Soils.

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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