Marko Mägi

1.6k citations
46 papers · 1.1k · h-index 20

Impact in

Papers in

Marko Mägi

46 papers receiving 1.1k citations

Peers

Marko Mägi
Comparison fields: 5 of 74
  • Parasitology 243
  • Ecological Modeling 152
  • Ecology, Evolution, Behavior and Systematics 629
  • Ecology 745
  • Developmental Biology 37
Replace Tara Rodden Robinson with:
Tara Rodden Robinson United States
François Vézina Canada
Liesbeth De Neve Belgium
Josabel Belliure Spain
Marco Cucco Italy
José A. Dávila Spain
Vallo Tilgar Estonia
Miloš Krist Czechia
Martin U. Grüebler Switzerland
Fabián Casas Spain
Marko Mägi relative to Tara Rodden Robinson United States Tara Rodden Robinson's profile →
Citations per field
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Tara Rodden Robinson · 1×
Citations per year

Countries citing papers authored by Marko Mägi

Since Specialization
Citations

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

Fields of papers citing papers by Marko Mägi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012110
2 200992
3 200962
4 201861
5 200658
6 200254
7 200651
8 200848
9 201142
10 202142
11 200941
12 200432
13 201131
14 200431
15 201326
16 201524
17 201723
18 201222
19 201622
20 201520

About Marko Mägi

Marko Mägi is a scholar working on Ecology, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation, Parasitology and Global and Planetary Change, having authored 46 papers that have together received 1.1k indexed citations. Recurring topics across this work include Avian ecology and behavior (30 papers), Animal Behavior and Reproduction (26 papers), Bird parasitology and diseases (11 papers), Wildlife Ecology and Conservation (8 papers), Ecology and Vegetation Dynamics Studies (7 papers), Species Distribution and Climate Change (5 papers), Fish Ecology and Management Studies (4 papers) and Reproductive Physiology in Livestock (4 papers). The work is most often cited by research in Parasitology (243 citations), Ecological Modeling (152 citations), Ecology, Evolution, Behavior and Systematics (629 citations), Ecology (745 citations) and Developmental Biology (37 citations). Marko Mägi has collaborated with scholars based in Estonia, Finland and Spain. Frequent co-authors include Raivo Mänd, Vallo Tilgar, Priit Kilgas, Toni Laaksonen, Christiaan Both, Triinu Remmel, Toomas Tammaru, Eugen Belskii, Jaime Potti and Tapio Eeva. Their work appears in journals such as Oecologia, Functional Ecology, Journal of Avian Biology, Ecoscience and General and Comparative Endocrinology.

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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