Linda Seifert

496 citations
16 papers · 331 indexed · h-index 9

Linda Seifert

15 papers receiving 321 citations

Peers

Linda Seifert
Comparison fields: 5 of 67
  • Anesthesiology and Pain Medicine 83
  • Ecological Modeling 30
  • Ecology 99
  • Nature and Landscape Conservation 44
  • Public Health, Environmental and Occupational Health 102
Replace W. Anton Visser with:
W. Anton Visser Netherlands
Christian M. Jones United States
Elisabeth Koch Austria
Maureen A. Williams United States
Carl Johan Svensson Sweden
Gregory Cooper United States
Stephen P. Kaluzny United States
Edward Lowry United States
Deepti Zutshi United States
Christian Chauvin France
Linda Seifert relative to W. Anton Visser Netherlands W. Anton Visser's profile →
Citations per field
00.5×7.5×
W. Anton Visser · 1×
Citations per year

Countries citing papers authored by Linda Seifert

Since Specialization
Citations

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

Fields of papers citing papers by Linda Seifert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1 20251
2 20241
3 20233
4 20228
5 202230
6 20227
7 202210
8 20217
9 20219
10
Species richness and composition of macroinvertebrate assemblages in the Bavarian Forest National Park: Preliminary results of the stream monitoring
20180
11 201524
12 201521
13 201424
14 201218
15 199651
16 1995117

About Linda Seifert

Linda Seifert is a scholar working on Ecological Modeling, Nature and Landscape Conservation, Ecology, Ecology, Evolution, Behavior and Systematics and Complementary and alternative medicine, having authored 16 papers that have together received 331 indexed citations. Recurring topics across this work include Species Distribution and Climate Change (6 papers), Fish Ecology and Management Studies (3 papers), Physiological and biochemical adaptations (3 papers), Ecology and Vegetation Dynamics Studies (3 papers), Aquatic Invertebrate Ecology and Behavior (3 papers), Environmental DNA in Biodiversity Studies (3 papers), Freshwater macroinvertebrate diversity and ecology (3 papers) and Plant and animal studies (2 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (83 citations), Ecological Modeling (30 citations), Ecology (99 citations), Nature and Landscape Conservation (44 citations) and Public Health, Environmental and Occupational Health (102 citations). Linda Seifert has collaborated with scholars based in Germany, Netherlands and Austria. Frequent co-authors include María E. Suarez‐Almazor, Éduardo Bruera, John Hanson, Jairo Moyano, Robin L. Fainsinger, Guntram Weithoff, Matthijs Vos, Ursula Gaedke, Stefan Scheu and Najib Babul. Their work appears in journals such as Freshwater Biology, Journal of Pain and Symptom Management, Insect Conservation and Diversity, The Science of The Total Environment and Soil Biology and Biochemistry.

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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