J. E. Eger

1.0k citations
54 papers · 761 indexed · h-index 15

J. E. Eger

50 papers receiving 668 citations

Peers

J. E. Eger
Comparison fields: 5 of 40
  • Insect Science 586
  • Ecology, Evolution, Behavior and Systematics 494
  • Plant Science 240
  • Ecological Modeling 20
  • Genetics 124
Replace Daniel R. Suiter with:
Daniel R. Suiter United States
C. S. S. Pires Brazil
J. F. Brunner United States
Paula Levin Mitchell United States
E. R. Hoebeke United States
J. S. Bacheler United States
J.G. Charles New Zealand
Jerry L. Stimac United States
Heather Leach United States
Cristiano F. Schwertner Brazil
J. E. Eger relative to Daniel R. Suiter United States Daniel R. Suiter's profile →
Citations per field
00.5×1.5×1.8×
Daniel R. Suiter · 1×
Citations per year

Countries citing papers authored by J. E. Eger

Since Specialization
Citations

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

Fields of papers citing papers by J. E. Eger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. E. Eger. 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 J. E. Eger. The network helps show where J. E. Eger may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20212
3 20201
4 20181
5 20171
6 20155
7 20154
8 201310
9 201231
10 201074
11 200919
12 20078
13 20058
14 199843
15 19953
16 19941
17 19938
18 19906
19 19876
20 198220

About J. E. Eger

J. E. Eger is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics, Paleontology, Plant Science and Environmental Chemistry, having authored 54 papers that have together received 761 indexed citations. Recurring topics across this work include Insect-Plant Interactions and Control (34 papers), Hemiptera Insect Studies (34 papers), Insect and Pesticide Research (7 papers), Insect and Arachnid Ecology and Behavior (7 papers), Insect behavior and control techniques (5 papers), Phytoplasmas and Hemiptera pathogens (4 papers), Plant and animal studies (4 papers) and Collembola Taxonomy and Ecology Studies (3 papers). The work is most often cited by research in Insect Science (586 citations), Ecology, Evolution, Behavior and Systematics (494 citations), Plant Science (240 citations), Ecological Modeling (20 citations) and Genetics (124 citations). J. E. Eger has collaborated with scholars based in United States, Brazil and Mexico. Frequent co-authors include Daniel R. Suiter, D. S. Moreno, Robert E. Burns, D. L. Harris, Jan Kochansky, William R. Lusby, David G. Hall, Jeffrey R. Aldrich, Michael Hoffmann and Carl C. Childers. Their work appears in journals such as Journal of Economic Entomology, Environmental Entomology, Annals of the Entomological Society of America, Zootaxa and Florida Entomologist.

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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