Dávid Rédei

1.2k citations
83 papers · 820 · h-index 16

Impact in

Papers in

Dávid Rédei

74 papers receiving 787 citations

Peers

Dávid Rédei
Comparison fields: 5 of 41
  • Insect Science 460
  • Ecology, Evolution, Behavior and Systematics 663
  • Ecological Modeling 41
  • Paleontology 53
  • Genetics 161
Replace Paula Levin Mitchell with:
Paula Levin Mitchell United States
Pjotr Oosterbroek Netherlands
B. Aukema Netherlands
Bernhard Klausnitzer Germany
Cristiano F. Schwertner Brazil
Nico Nieser Netherlands
Patrick Marc France
Bernardo F. Santos United States
Marcin Kadej Poland
E. Piattella Italy
Dávid Rédei relative to Paula Levin Mitchell United States Paula Levin Mitchell's profile →
Citations per field
00.5×2×3.3×
Paula Levin Mitchell · 1×
Citations per year

Countries citing papers authored by Dávid Rédei

Since Specialization
Citations

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

Fields of papers citing papers by Dávid Rédei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201570
2 201865
3 201762
4 201458
5 201157
6 201638
7 201737
8 201336
9 202235
10 202024
11 202023
12 201321
13 201720
14 201619
15 201717
16 201017
17 200413
18 201113
19 20179
20 20039

About Dávid Rédei

Dávid Rédei is a scholar working on Ecology, Evolution, Behavior and Systematics, Insect Science, Genetics, Plant Science and Ecology, having authored 83 papers that have together received 820 indexed citations. Recurring topics across this work include Hemiptera Insect Studies (75 papers), Insect-Plant Interactions and Control (53 papers), Entomopathogenic Microorganisms in Pest Control (14 papers), Research on scale insects (12 papers), Phytoplasmas and Hemiptera pathogens (11 papers), Insects and Parasite Interactions (7 papers), Lepidoptera: Biology and Taxonomy (7 papers) and Fossil Insects in Amber (7 papers). The work is most often cited by research in Insect Science (460 citations), Ecology, Evolution, Behavior and Systematics (663 citations), Ecological Modeling (41 citations), Paleontology (53 citations) and Genetics (161 citations). Dávid Rédei has collaborated with scholars based in Hungary, China and Taiwan. Frequent co-authors include Petr Kment, Wenjun Bu, Qiang Xie, Yanhui Wang, Gábor Vétek, Haoyang Wu, Pingping Chen, Yanyan Zhou, David A. Rider and Pavel Štys. Their work appears in journals such as Zootaxa, Cladistics, ZooKeys, Systematic Entomology and Insect Systematics and Diversity.

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.

Explore authors with similar magnitude of impact