Danny Karmon

675 citations
2 papers · 368 · 1 hit paper · h-index 2

Impact in

    • Insect and Pesticide Research
    • Insect-Plant Interactions and Control
    • Entomopathogenic Microorganisms in Pest Control
    • Insect Pest Control Strategies

Papers in

Danny Karmon

2 papers receiving 354 citations

Danny Karmon's Hit Papers

Insecticides, biologics and nematicides: Updates to IRAC’s mode of action classification - a tool for resistance management 2020 · 345 citations
3450+2+4Years since publication100200300

Peers

Danny Karmon
Comparison fields: 5 of 57
  • Insect Science 243
  • Plant Science 152
  • Molecular Biology 164
  • Ecology, Evolution, Behavior and Systematics 31
  • Pollution 16
Replace Melanie Andrews with:
Melanie Andrews United Kingdom
Li Zhong China
Marc Fournier Canada
Goran Andrić Serbia
Ishveen Kaur United States
G. Dal Bello Argentina
Jianfang Bai China
Linsheng Yu China
Xiaojing Fan China
Danny Karmon relative to Melanie Andrews United Kingdom Melanie Andrews's profile →
Citations per field
00.5×3.2×
Melanie Andrews · 1×
Citations per year

Countries citing papers authored by Danny Karmon

Since Specialization
Citations

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

Fields of papers citing papers by Danny Karmon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Danny Karmon, 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 Danny Karmon Line = papers co-authored together Danny Karmon links everyone, so they are left out of the graph.

All Works

2 of 2 papers shown
#Work
1
Insecticides, biologics and nematicides: Updates to IRAC’s mode of action classification - a tool for resistance management
Hit paper breakdown →
2020345
2
LaVAN: Localized and Visible Adversarial Noise
201823

About Danny Karmon

Danny Karmon is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Artificial Intelligence, Insect Science and Plant Science, having authored 2 papers that have together received 368 indexed citations. Recurring topics across this work include Insect Pest Control Strategies (1 paper), Entomopathogenic Microorganisms in Pest Control (1 paper), Insect Resistance and Genetics (1 paper), Adversarial Robustness in Machine Learning (1 paper), Digital Media Forensic Detection (1 paper) and Anomaly Detection Techniques and Applications (1 paper). The work is most often cited by research in Insect Science (243 citations), Plant Science (152 citations), Molecular Biology (164 citations), Ecology, Evolution, Behavior and Systematics (31 citations) and Pollution (16 citations). Danny Karmon has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Holly J.R. Popham, Thomas C. Sparks, Andrew J. Crossthwaite, Daniel Cordova, Fergus G.P. Earley, Gerald B. Watson, Ralf Nauen, Robert M. Kennedy, Vincent L. Salgado and Barbara J. Wedel. Their work appears in journals such as Pesticide Biochemistry and Physiology and International Conference on Machine Learning.

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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