Mathias Weiden

436 citations
23 papers · 279 · h-index 9

Impact in

Papers in

Mathias Weiden

22 papers receiving 248 citations

Peers

Mathias Weiden
Comparison fields: 5 of 74
  • Insect Science 74
  • Pollution 60
  • Health, Toxicology and Mutagenesis 46
  • Plant Science 92
  • Pharmacology 31
Replace R. Miskus with:
R. Miskus United States
S. A. Hall
M. Vandekar United Kingdom
A. M. Mattson United States
Kenzo Ueda Japan
Maria Chrysayi‐Tokousbalides Greece
R. K. Elespuru United States
A. Verweij Netherlands
Mohamed-Bassem A. Ashour Egypt
Yoshio Katsuda Japan
Mathias Weiden relative to R. Miskus United States R. Miskus's profile →
Citations per field
00.5×11×
R. Miskus · 1×
Citations per year

Countries citing papers authored by Mathias Weiden

Since Specialization
Citations

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

Fields of papers citing papers by Mathias Weiden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Mathias Weiden, 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 Mathias Weiden Line = papers co-authored together Mathias Weiden links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197799
2 196641
3 196517
4 195316
5
Toxicity of carbamates to insects.
197113
6 196512
7 202310
8 19619
9 20239
10 19887
11 19687
12 19586
13 20226
14 19875
15 19674
16 19774
17 19854
18 19723
19 19693
20 19742

About Mathias Weiden

Mathias Weiden is a scholar working on Insect Science, Plant Science, Food Science, Organic Chemistry and Artificial Intelligence, having authored 23 papers that have together received 279 indexed citations. Recurring topics across this work include Insect and Pesticide Research (10 papers), Insect Pest Control Strategies (9 papers), Pesticide Residue Analysis and Safety (5 papers), Quantum Computing Algorithms and Architecture (4 papers), Pesticide Exposure and Toxicity (4 papers), Quantum Information and Cryptography (3 papers), Insect Resistance and Genetics (2 papers) and Fungal Plant Pathogen Control (2 papers). The work is most often cited by research in Insect Science (74 citations), Pollution (60 citations), Health, Toxicology and Mutagenesis (46 citations), Plant Science (92 citations) and Pharmacology (31 citations). Mathias Weiden has collaborated with scholars based in United States and Belgium. Frequent co-authors include John Kubiatowicz, Costin Iancu, Joseph C. Fratantoni, Douglas J. Hennessy, Ji Liu, Paul Hovland, Patricia E. Levi, Bruce D. Hilton and David Pimentel. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Journal of Economic Entomology, Journal of Medicinal Chemistry, Nature and Pesticide Biochemistry and Physiology.

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