Margaret A. Nemeth

4.1k citations
51 papers · 3.0k indexed · 1 hit paper · h-index 27

Margaret A. Nemeth

50 papers receiving 2.9k citations

Hit Papers

Multivariate Statistical Methods: A Primer6471997202620062016200400600

Peers

Margaret A. Nemeth
Comparison fields: 5 of 199
  • Plant Science 1.3k
  • Biotechnology 186
  • Nutrition and Dietetics 242
  • Nature and Landscape Conservation 188
  • Agronomy and Crop Science 149
Replace Kazuo Watanabe with:
Kazuo Watanabe Japan
Peng Yan China
Ke Wang China
Michael Roberts United Kingdom
David Evans United Kingdom
Yang Zhong China
Qin Ma China
John Markwell United States
Ling Li China
Kenneth McCue United States
Margaret A. Nemeth relative to Kazuo Watanabe Japan Kazuo Watanabe's profile →
Citations per field
00.5×1.5×2.4×
Kazuo Watanabe · 1×
Citations per year

Countries citing papers authored by Margaret A. Nemeth

Since Specialization
Citations

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

Fields of papers citing papers by Margaret A. Nemeth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Margaret A. Nemeth. 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 Margaret A. Nemeth. The network helps show where Margaret A. Nemeth may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201321
2 201121
3 201083
4 201026
5 200926
6 200924
7 200721
8 200710
9 200728
10 200668
11 200560
12 200532
13 200567
14 200419
15 200446
16 200485
17 20035
18 20021
19 199222
20 199257

About Margaret A. Nemeth

Margaret A. Nemeth is a scholar working on Plant Science, Insect Science and Pollution, having authored 51 papers that have together received 3.0k indexed citations. Recurring topics across this work include Genetically Modified Organisms Research (20 papers), Insect Resistance and Genetics (12 papers), Weed Control and Herbicide Applications (8 papers), Soybean genetics and cultivation (6 papers), Insect and Pesticide Research (5 papers), Insect Pest Control Strategies (4 papers), Pesticide and Herbicide Environmental Studies (4 papers) and Insect-Plant Interactions and Control (3 papers). The work is most often cited by research in Plant Science (1.3k citations), Biotechnology (186 citations) and Nutrition and Dietetics (242 citations). Margaret A. Nemeth has collaborated with scholars based in United States, Australia and Mali. Frequent co-authors include Bryan F. J. Manly, William P. Ridley, Bruce G. Hammond, James D. Astwood, Joan K. Lemen, Matthew L. Breeze, Dallas E. Johnson, Susan G. Riordan, Roy Sorbet and G.F. Hartnell. Their work appears in journals such as American Journal of Clinical Nutrition, Technometrics and Journal of Agricultural and Food Chemistry.

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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