Edith Gabriel

28 papers receiving 919 citations

Peers

Edith Gabriel
Comparison fields: 5 of 88
  • Food Science 424
  • Applied Mathematics 165
  • Ecological Modeling 7
  • Insect Science 24
  • Nature and Landscape Conservation 24
Replace Suzanne Touzeau with:
Suzanne Touzeau France
Ivan Sache France
Michael S. Williams United States
Karina Hodara Argentina
Sanling Yuan China
Anna Sandionigi Italy
Remy van de Ven Australia
J. Schans Netherlands
Michael J. Allison Canada
W. Barioni Brazil
Edith Gabriel relative to Suzanne Touzeau France Suzanne Touzeau's profile →
Citations per field
00.5×5×10×15×18.3×
Suzanne Touzeau · 1×
Citations per year

Countries citing papers authored by Edith Gabriel

Since Specialization
Citations

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

Fields of papers citing papers by Edith Gabriel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Edith Gabriel, 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 Edith Gabriel Line = papers co-authored together Edith Gabriel 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 2008366
2 2008145
3 200997
4 201684
5 201351
6 201337
7 202028
8 202420
9 201818
10 201017
11 201013
12 201713
13 202112
14
Analyzing spatio-temporal data with R: Everything you always wanted to know – but were afraid to ask
20177
15 20096
16 20166
17 20174
18 20224
19 20073
20 20073

About Edith Gabriel

Edith Gabriel is a scholar working on Applied Mathematics, Environmental Engineering, Economics and Econometrics, Food Science and Plant Science, having authored 31 papers that have together received 946 indexed citations. Recurring topics across this work include Point processes and geometric inequalities (17 papers), Spatial and Panel Data Analysis (5 papers), Soil Geostatistics and Mapping (3 papers), Salmonella and Campylobacter epidemiology (3 papers), Insect-Plant Interactions and Control (2 papers), Mathematical and Theoretical Epidemiology and Ecology Models (2 papers), Phytoplasmas and Hemiptera pathogens (2 papers) and Smart Agriculture and AI (2 papers). The work is most often cited by research in Food Science (424 citations), Applied Mathematics (165 citations), Ecological Modeling (7 citations), Insect Science (24 citations) and Nature and Landscape Conservation (24 citations). Edith Gabriel has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Peter John Diggle, J. Cheesbrough, Daniel J. Wilson, Paul Fearnhead, A. J. H. Leatherbarrow, Eric Bolton, C. Anthony Hart, Joël Chadœuf, Vincent Bretagnolle and Barry Rowlingson. Their work appears in journals such as Spatial Statistics, Molecular Biology and Evolution, Ecography, Statistics in Medicine and Journal of Statistical Software.

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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