Marko Mägi

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

Impact in

Papers in

Marko Mägi

46 papers receiving 1.0k citations

Peers

Marko Mägi
Comparison fields: 5 of 75
  • Parasitology 238
  • Ecological Modeling 152
  • Ecology, Evolution, Behavior and Systematics 628
  • Ecology 728
  • Developmental Biology 36
Replace Tara Rodden Robinson with:
Tara Rodden Robinson United States
Juli Broggi Spain
Sarah E. DuRant United States
François Vézina Canada
Josabel Belliure Spain
Liesbeth De Neve Belgium
Miloš Krist Czechia
Vallo Tilgar Estonia
José A. Dávila Spain
James R. Belthoff United States
Marko Mägi relative to Tara Rodden Robinson United States Tara Rodden Robinson's profile →
Citations per field
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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 2012108
2 200991
3 200962
4 201859
5 200656
6 200253
7 200651
8 200848
9 200940
10 201139
11 202137
12 200432
13 201131
14 200430
15 201326
16 201524
17 201222
18 201622
19 201721
20 201519

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), Reproductive Physiology in Livestock (4 papers) and Fish Ecology and Management Studies (4 papers). The work is most often cited by research in Parasitology (238 citations), Ecological Modeling (152 citations), Ecology, Evolution, Behavior and Systematics (628 citations), Ecology (728 citations) and Developmental Biology (36 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, Andrey Bushuev and Marcel E. Visser. Their work appears in journals such as Functional Ecology, Oecologia, Acta Ornithologica, Ecoscience and Ibis.

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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