David Schmidt

99 papers receiving 1.4k citations

Peers

David Schmidt
Comparison fields: 5 of 154
  • Process Chemistry and Technology 470
  • Health, Toxicology and Mutagenesis 259
  • Automotive Engineering 108
  • Biomedical Engineering 384
  • Virology 36
Replace Laurence Mathieu with:
Laurence Mathieu France
Jiajie Hu China
Zhiye Zhang China
John Bartlett Ireland
Rohit Ghai Spain
Naomichi Yamamoto South Korea
Rafał L. Górny Poland
Li Guo China
Tian Wang China
Juan P. Maestre United States
David Schmidt relative to Laurence Mathieu France Laurence Mathieu's profile →
Citations per field
00.5×6.4×
Laurence Mathieu · 1×
Citations per year

Countries citing papers authored by David Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by David Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200995
2 201093
3 201785
4 200083
5 200982
6 200677
7 198872
8 201070
9 199869
10 200653
11 200750
12 198346
13 200141
14 200238
15
Comparison of five models for setback distance determination from livestock sites
200432
16 200531
17 197129
18 200527
19 201426
20 199925

About David Schmidt

David Schmidt is a scholar working on Process Chemistry and Technology, Biomedical Engineering, Health, Toxicology and Mutagenesis, Agronomy and Crop Science and Environmental Engineering, having authored 104 papers that have together received 1.6k indexed citations. Recurring topics across this work include Odor and Emission Control Technologies (34 papers), Indoor Air Quality and Microbial Exposure (11 papers), Advanced Chemical Sensor Technologies (6 papers), Vehicle emissions and performance (5 papers), Agriculture, Soil, Plant Science (5 papers), Forest Biomass Utilization and Management (5 papers), Biofuel production and bioconversion (5 papers) and Agronomic Practices and Intercropping Systems (4 papers). The work is most often cited by research in Process Chemistry and Technology (470 citations), Health, Toxicology and Mutagenesis (259 citations), Automotive Engineering (108 citations), Biomedical Engineering (384 citations) and Virology (36 citations). David Schmidt has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Weiyuan John Kao, Larry D. Jacobson, R. E. Nicolai, K. L. Fowler, Nalladurai Kaliyan, R. Vance Morey, James D. Heckman, Huiqing Guo, K. A. Janni and Douglas G. Tiffany. Their work appears in journals such as Agronomy Journal, Applied Engineering in Agriculture, Journal of Biomedical Materials Research Part A, Journal of the Air & Waste Management Association and Journal of Environmental Science and Health Part B.

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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