David Johnson

31 papers receiving 573 citations

Peers

David Johnson
Comparison fields: 5 of 99
  • Pollution 110
  • Health, Toxicology and Mutagenesis 86
  • Computer Vision and Pattern Recognition 120
  • Environmental Chemistry 41
  • Water Science and Technology 53
Replace Jiahui Zhang with:
Jiahui Zhang China
Jin Zeng China
Jan Chudoba Czechia
Myung Hwangbo United States
Lu Gan China
Jie Shen China
Wen Su China
Fan Xiao China
Ruyi Liu China
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 202087
3 200960
4 201636
5 201232
6 202032
7 202029
8 201927
9 201522
10 201422
11 202019
12 202213
13 200212
14 201912
15 201812
16 202111
17 201510
18 20199
19 20028
20 20197

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 594 indexed citations. Recurring topics across this work include Selenium in Biological Systems (5 papers), Face and Expression Recognition (4 papers), Advanced Image and Video Retrieval Techniques (3 papers), Heavy metals in environment (3 papers), Allelopathy and phytotoxic interactions (3 papers), Advanced Photocatalysis Techniques (2 papers), Metal-Organic Frameworks: Synthesis and Applications (2 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (2 papers). The work is most often cited by research in Pollution (110 citations), Health, Toxicology and Mutagenesis (86 citations), Computer Vision and Pattern Recognition (120 citations), Environmental Chemistry (41 citations) and Water Science and Technology (53 citations). David Johnson has collaborated with scholars based in China and United States. Frequent co-authors include Caiming Xiong, Jason J. Corso, Huigang Liu, Yingping Huang, Dong Ren, Ruiping Li, Yanfen Fang, Tao Xu, Yingping Huang and Jimmy Wu. Their work appears in journals such as Journal of Soils and Sediments, The Science of The Total Environment, International Journal of Phytoremediation, Environmental Geochemistry and Health and Ecotoxicology and Environmental Safety.

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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