David E. Williams

532 citations
17 papers · 391 · h-index 10

Impact in

  • Equine top 5%
    • Veterinary Equine Medical Research
    • Electrochemical Analysis and Applications

Papers in

    • Peanut Plant Research Studies 7
    • Agricultural pest management studies 4
    • Botany and Plant Ecology Studies 1
    • Coconut Research and Applications 5

David E. Williams

15 papers receiving 357 citations

Peers

David E. Williams
Comparison fields: 5 of 82
  • Equine 27
  • Electrochemistry 62
  • Bioengineering 53
  • Horticulture 6
  • Sensory Systems 22
Replace G. Puggioni with:
G. Puggioni Italy
Oindrila Hossain United States
John‐Mary Vianney Tanzania
Andrew J. Johnson United States
Valerie A. Lee United States
Donatella Farina Italy
Jérôme Cortot France
Yeon‐Hwa Kim South Korea
Ellie Wilson United States
David E. Williams relative to G. Puggioni Italy G. Puggioni's profile →
Citations per field
00.5×
G. Puggioni · 1×
Citations per year

Countries citing papers authored by David E. Williams

Since Specialization
Citations

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

Fields of papers citing papers by David E. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 199185
2 200354
3 201554
4 200751
5 201039
6 199324
7 199318
8 196416
9 200515
10 199612
11 19927
12 20016
13 20013
14 20223
15
Performance of seeded native and introduced grasses in western North Dakota.
19802
16 19951
17 19971

About David E. Williams

David E. Williams is a scholar working on Plant Science, Inorganic Chemistry, Molecular Biology, Environmental Chemistry and Polymers and Plastics, having authored 17 papers that have together received 391 indexed citations. Recurring topics across this work include Peanut Plant Research Studies (7 papers), Coconut Research and Applications (5 papers), Agricultural pest management studies (4 papers), Turfgrass Adaptation and Management (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Nitrogen and Sulfur Effects on Brassica (2 papers), Analytical Chemistry and Sensors (2 papers) and Botany and Plant Ecology Studies (1 paper). The work is most often cited by research in Equine (27 citations), Electrochemistry (62 citations), Bioengineering (53 citations), Horticulture (6 citations) and Sensory Systems (22 citations). David E. Williams has collaborated with scholars based in United States, Brazil and India. Frequent co-authors include Brian J. Norris, Derek H. Craston, Nabil El Murr, Brian D. MacCraith, Vladimir Gubala, Xavier Le Guével, Roy N. Pittman, Paula Bramel, H. T. Stalker and Morag Ferguson. Their work appears in journals such as Crop Science, Talanta, Biodiversity and Conservation, Journal of Heredity and PLoS ONE.

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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