István Maák

761 citations
48 papers · 529 · h-index 14

Impact in

Papers in

István Maák

46 papers receiving 515 citations

Peers

István Maák
Comparison fields: 5 of 47
  • Ecological Modeling 69
  • Ecology, Evolution, Behavior and Systematics 292
  • Insect Science 157
  • Nature and Landscape Conservation 134
  • Genetics 263
Replace José Wellington de Morais with:
José Wellington de Morais Brazil
Gábor Lőrinczi Hungary
Jaime Pizarro‐Araya Chile
Mário Boieiro Portugal
Paolo Pantini Italy
John Acorn Canada
Jérôme Orgeas France
Petr Klimeš Czechia
Matthew H. Van Dam United States
Bart van Lith Netherlands
István Maák relative to José Wellington de Morais Brazil José Wellington de Morais's profile →
Citations per field
00.5×2.6×
José Wellington de Morais · 1×
Citations per year

Countries citing papers authored by István Maák

Since Specialization
Citations

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

Fields of papers citing papers by István Maák

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201659
2 201954
3 201528
4 201625
5 202023
6 202118
7 201418
8 202016
9 202016
10 201915
11 201615
12 201414
13 202013
14 202013
15 202112
16 201612
17 201712
18 202211
19 202111
20 202210

About István Maák

István Maák is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics, Insect Science, Nature and Landscape Conservation and Ecology, having authored 48 papers that have together received 529 indexed citations. Recurring topics across this work include Insect and Arachnid Ecology and Behavior (36 papers), Plant and animal studies (30 papers), Animal Behavior and Reproduction (17 papers), Ecology and Vegetation Dynamics Studies (11 papers), Insect and Pesticide Research (7 papers), Forest Ecology and Biodiversity Studies (5 papers), Forest Insect Ecology and Management (5 papers) and Species Distribution and Climate Change (4 papers). The work is most often cited by research in Ecological Modeling (69 citations), Ecology, Evolution, Behavior and Systematics (292 citations), Insect Science (157 citations), Nature and Landscape Conservation (134 citations) and Genetics (263 citations). István Maák has collaborated with scholars based in Hungary, Poland and Romania. Frequent co-authors include Gábor Lőrinczi, Csaba Tölgyesi, Zoltán Bátori, László Erdős, András Vojtkó, Patrizia d’Ettorre, Magdalena Witek, Péter János Kiss, Gunnar Keppel and Tünde Farkas. Their work appears in journals such as Insectes Sociaux, Scientific Reports, Animal Behaviour, Journal of Insect Behavior and Frontiers in Ecology and Evolution.

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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