R.M. McDowell

9 papers receiving 1.2k citations

R.M. McDowell's Hit Papers

Methods for reliability and uncertainty assessment and for applicability evaluations of classification- and regression-based QSARs. 2003 · 1.1k citations
1.1k0+7+15Years since publication2505007501000

Peers

R.M. McDowell
Comparison fields: 5 of 126
  • Computational Theory and Mathematics 671
  • Chemical Health and Safety 11
  • Organic Chemistry 287
  • Health, Toxicology and Mutagenesis 133
  • Analytical Chemistry 87
Replace Carol A. Marchant with:
Carol A. Marchant United Kingdom
Simona Kovarich Italy
Alberto Manganaro Italy
T. Wayne Schultz United States
Indrani Mitra India
Alessandra Roncaglioni Italy
Johannes J.M. van de Sandt Netherlands
Vijay K. Gombar United States
Stefano Cassani Italy
Robert L. Lipnick United States
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Citations per year

Countries citing papers authored by R.M. McDowell

Since Specialization
Citations

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

Fields of papers citing papers by R.M. McDowell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.M. McDowell. 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 R.M. McDowell. The network helps show where R.M. McDowell may publish in the future.

Co-authors

The 19 scholars most cited alongside R.M. McDowell, 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 R.M. McDowell Line = papers co-authored together R.M. McDowell links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Methods for reliability and uncertainty assessment and for applicability evaluations of classification- and regression-based QSARs.
Hit paper breakdown →
20031082
2 200268
3 200218
4 200016
5 200514
6
Risk assessment for foodborne microbial hazards
199512
7
Long-term sequelae to foodborne disease.
199712
8 200510
9 19985

About R.M. McDowell

R.M. McDowell is a scholar working on Food Science, Infectious Diseases, Ecology, Insect Science and Pharmacology, having authored 9 papers that have together received 1.2k indexed citations. Recurring topics across this work include Food Safety and Hygiene (4 papers), Forest Ecology and Biodiversity Studies (2 papers), Forest Insect Ecology and Management (2 papers), Salmonella and Campylobacter epidemiology (2 papers), Plant Pathogens and Fungal Diseases (1 paper), Cholinesterase and Neurodegenerative Diseases (1 paper), Entomopathogenic Microorganisms in Pest Control (1 paper) and Listeria monocytogenes in Food Safety (1 paper). The work is most often cited by research in Computational Theory and Mathematics (671 citations), Chemical Health and Safety (11 citations), Organic Chemistry (287 citations), Health, Toxicology and Mutagenesis (133 citations) and Analytical Chemistry (87 citations). R.M. McDowell has collaborated with scholars based in United States and Sweden. Frequent co-authors include Joanna Jaworska, Andrew Worth, Lennart Eriksson, M Cronin, Paola Gramatica, Roberta A. Morales, Richard C. Whiting, W. Schlosser, Bruce K. Hope and Alwynelle S. Ahl. Their work appears in journals such as Journal of Economic Entomology, Environmental Health Perspectives, Journal of Food Protection, SAR and QSAR in environmental research and Journal of Food Science.

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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