Chris Field

62 papers receiving 2.0k citations

Hit Papers

QUANTITATIVE FATTY ACID SIGNATURE ANALYSIS: A NEW METHOD OF ESTIMATING PREDATOR DIETS 2004 · 575 citations
5752004202620112018100200300400500

Peers

Chris Field
Comparison fields: 5 of 168
  • Anesthesiology and Pain Medicine 244
  • Statistics and Probability 311
  • Ecology 716
  • Nature and Landscape Conservation 276
  • Global and Planetary Change 466
Replace Makio Ishiguro with:
Makio Ishiguro Japan
Ken B. Newman United States
Jaxk Reeves United States
Lluís Jover Spain
Patrick Breheny United States
James L. Rosenberger United States
Jochen Kruppa Germany
Sibylle Sturtz Germany
Carl M. O’Brien United Kingdom
Thomas Petzoldt Germany
Chris Field relative to Makio Ishiguro Japan Makio Ishiguro's profile →
Citations per field
00.5×9.8×
Makio Ishiguro · 1×
Citations per year

Countries citing papers authored by Chris Field

Since Specialization
Citations

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

Fields of papers citing papers by Chris Field

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1
QUANTITATIVE FATTY ACID SIGNATURE ANALYSIS: A NEW METHOD OF ESTIMATING PREDATOR DIETS
Hit paper breakdown →
2004575
2 2003272
3 2007247
4 201689
5 199979
6 200477
7 199075
8 200354
9 199450
10 200346
11 201146
12 197244
13 200242
14 201335
15 199832
16 200525
17 199624
18 200424
19 199821
20 200619

About Chris Field

Chris Field is a scholar working on Statistics and Probability, Developmental Biology, Statistics, Probability and Uncertainty, Nature and Landscape Conservation and Global and Planetary Change, having authored 64 papers that have together received 2.1k indexed citations. Recurring topics across this work include Statistical Methods and Inference (11 papers), Advanced Statistical Methods and Models (10 papers), Marine and fisheries research (10 papers), Genomics and Phylogenetic Studies (9 papers), Genetic diversity and population structure (7 papers), Fish Ecology and Management Studies (7 papers), Statistical Methods and Bayesian Inference (7 papers) and Marine animal studies overview (5 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (244 citations), Statistics and Probability (311 citations), Ecology (716 citations), Nature and Landscape Conservation (276 citations) and Global and Planetary Change (466 citations). Chris Field has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Wade Blanchard, W. Don Bowen, Sara J. Iverson, A. H. Welsh, Anthony Almudevar, Debbie J. Dupuis, Joanna Mills Flemming, J. Adam Law, David D. Imrie and Kirk MacQuarrie. Their work appears in journals such as Molecular Biology and Evolution, Journal of Agricultural Biological and Environmental Statistics, Systematic Biology, Statistical Applications in Genetics and Molecular Biology and Ecological Applications.

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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