David Johnson

1.4k citations
31 papers · 577 · h-index 13

Impact in

Papers in

David Johnson

30 papers receiving 555 citations

Peers

David Johnson
Comparison fields: 5 of 100
  • Pollution 108
  • Health, Toxicology and Mutagenesis 85
  • Computer Vision and Pattern Recognition 120
  • Environmental Chemistry 39
  • Water Science and Technology 51
Replace Jiahui Zhang with:
Jiahui Zhang China
Myung Hwangbo United States
Xinhua Zhao China
Jin Zeng China
Xing Song Canada
Xiaohan Jiang China
Weijun Sun China
Jan Chudoba Czechia
David Johnson relative to Jiahui Zhang China Jiahui Zhang's profile →
Citations per field
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Citations per year

Countries citing papers authored by David Johnson

Since Specialization
Citations

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

Fields of papers citing papers by David Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017100
2 202085
3 200960
4 201634
5 202032
6 201232
7 202027
8 201924
9 201522
10 201421
11 202015
12 201912
13 201812
14 202212
15 200212
16 202111
17 201510
18 20199
19 20028
20 20196

About David Johnson

David Johnson is a scholar working on Pollution, Computer Vision and Pattern Recognition, Nutrition and Dietetics, Artificial Intelligence and Plant Science, having authored 31 papers that have together received 577 indexed citations. Recurring topics across this work include Selenium in Biological Systems (5 papers), Face and Expression Recognition (4 papers), Heavy metals in environment (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Allelopathy and phytotoxic interactions (3 papers), Video Surveillance and Tracking Methods (2 papers), Plant Stress Responses and Tolerance (2 papers) and Coal and Its By-products (2 papers). The work is most often cited by research in Pollution (108 citations), Health, Toxicology and Mutagenesis (85 citations), Computer Vision and Pattern Recognition (120 citations), Environmental Chemistry (39 citations) and Water Science and Technology (51 citations). David Johnson has collaborated with scholars based in China and United States. Frequent co-authors include Jason J. Corso, Caiming Xiong, Huigang Liu, Yingping Huang, Dong Ren, Ruiping Li, Yingping Huang, Tao Xu, Yanfen Fang and Ran Xu. Their work appears in journals such as International Journal of Phytoremediation, Journal of Soils and Sediments, Ecotoxicology and Environmental Safety, Environmental Geochemistry and Health and The Science of The Total Environment.

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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