Rob Davies

5.1k citations
75 papers · 2.0k indexed · h-index 26

Rob Davies

75 papers receiving 1.9k citations

Peers

Rob Davies
Comparison fields: 5 of 112
  • Molecular Medicine 489
  • Endocrinology 471
  • Food Science 1.4k
  • Biotechnology 430
  • Animal Science and Zoology 259
Replace Danilo M.A. Lo Fo Wong with:
Danilo M.A. Lo Fo Wong Denmark
Scott R. Ladely United States
Katelijne Dierick Belgium
Awa Aïdara‐Kane Switzerland
C. Poppe Canada
Hein Imberechts Belgium
I. McLaren United Kingdom
Karin Hoelzer United States
Dorte Lau Baggesen Denmark
Pawin Padungtod Thailand
Rob Davies relative to Danilo M.A. Lo Fo Wong Denmark Danilo M.A. Lo Fo Wong's profile →
Citations per field
00.5×1.5×
Danilo M.A. Lo Fo Wong · 1×
Citations per year

Countries citing papers authored by Rob Davies

Since Specialization
Citations

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

Fields of papers citing papers by Rob Davies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20227
2 20215
3 20204
4 201823
5 201612
6 20158
7 20149
8 201330
9 201010
10 20109
11 200956
12 200933
13 200918
14 200914
15 2007107
16
A semantic web GIS based emergency management system
20065
17 2004112
18 20048
19 200220
20 199722

About Rob Davies

Rob Davies is a scholar working on Molecular Medicine, Food Science, Endocrinology, Biotechnology and Agronomy and Crop Science, having authored 75 papers that have together received 2.0k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (52 papers), Antibiotic Resistance in Bacteria (17 papers), Listeria monocytogenes in Food Safety (10 papers), Bacteriophages and microbial interactions (9 papers), Animal Disease Management and Epidemiology (9 papers), Viral gastroenteritis research and epidemiology (8 papers), Pharmaceutical and Antibiotic Environmental Impacts (8 papers) and Vibrio bacteria research studies (7 papers). The work is most often cited by research in Molecular Medicine (489 citations), Endocrinology (471 citations), Food Science (1.4k citations), Biotechnology (430 citations) and Animal Science and Zoology (259 citations). Rob Davies has collaborated with scholars based in United Kingdom, Denmark and United States. Frequent co-authors include M. Breslin, Juan Carrique‐Mas, V.M. Allen, A. J. C. Cook, S. J. Evans, Mark Arnold, Janet E.L. Corry, W R Hudson, F.A. Clifton-Hadley and L. C. Snow. Their work appears in journals such as Veterinary Record, Avian Pathology, Epidemiology and Infection, Journal of Applied Microbiology and Letters in Applied Microbiology.

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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