Byron Evers

470 citations
14 papers · 302 · h-index 8

Impact in

    • Smart Agriculture and AI
    • Wheat and Barley Genetics and Pathology
    • Genetics and Plant Breeding
    • Leaf Properties and Growth Measurement
    • Spectroscopy and Chemometric Analyses

Papers in

    • Wheat and Barley Genetics and Pathology 5
    • Genetics and Plant Breeding 4
    • Chromosomal and Genetic Variations 3
    • Leaf Properties and Growth Measurement 2
    • Genetic Mapping and Diversity in Plants and Animals 3

Byron Evers

12 papers receiving 300 citations

Peers

Byron Evers
Comparison fields: 5 of 46
  • Plant Science 221
  • Analytical Chemistry 41
  • Agronomy and Crop Science 27
  • Ecology 68
  • Ecological Modeling 9
Replace Daniel Smith with:
Daniel Smith Australia
Haifu Tu China
Zhao Jiang China
Tianle Yang China
Hsiang Sing Naik United States
Sally Lynne Vail Canada
Seyed Vahid Mirnezami United States
Jesper Cairo Westergaard Denmark
Kim Möller Germany
Jordan R. Ubbens Canada
Byron Evers relative to Daniel Smith Australia Daniel Smith's profile →
Citations per field
00.5×2×3.2×
Daniel Smith · 1×
Citations per year

Countries citing papers authored by Byron Evers

Since Specialization
Citations

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

Fields of papers citing papers by Byron Evers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2021116
2 201959
3 201327
4 202223
5 202119
6 202016
7 202216
8 202213
9 20226
10 20234
11 20242
12 20221
13 20220
14 20260

About Byron Evers

Byron Evers is a scholar working on Plant Science, Genetics, Ecology, Biotechnology and Soil Science, having authored 14 papers that have together received 302 indexed citations. Recurring topics across this work include Wheat and Barley Genetics and Pathology (5 papers), Genetics and Plant Breeding (4 papers), Chromosomal and Genetic Variations (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Leaf Properties and Growth Measurement (2 papers), Remote Sensing in Agriculture (2 papers), CRISPR and Genetic Engineering (1 paper) and Soil Carbon and Nitrogen Dynamics (1 paper). The work is most often cited by research in Plant Science (221 citations), Analytical Chemistry (41 citations), Agronomy and Crop Science (27 citations), Ecology (68 citations) and Ecological Modeling (9 citations). Byron Evers has collaborated with scholars based in United States, Saudi Arabia and Canada. Frequent co-authors include Jesse Poland, Xu Wang, Sandesh Kumar Shrestha, Robert B. Pless, Hong Wei Xuan, John Tatarko, Humberto Blanco‐Canqui, Scott Staggenborg, Jared L. Crain and Allan K. Fritz. Their work appears in journals such as The Plant Genome, Remote Sensing Letters, Agronomy Journal, Plant Phenomics and PLANT 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.

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