Chris Field

2.9k total citations · 1 hit paper
64 papers, 2.1k citations indexed

About

Chris Field is a scholar working on Statistics and Probability, Global and Planetary Change and Molecular Biology. According to data from OpenAlex, Chris Field has authored 64 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistics and Probability, 13 papers in Global and Planetary Change and 12 papers in Molecular Biology. Recurrent topics in Chris Field's work include Statistical Methods and Inference (11 papers), Marine and fisheries research (10 papers) and Advanced Statistical Methods and Models (10 papers). Chris Field is often cited by papers focused on Statistical Methods and Inference (11 papers), Marine and fisheries research (10 papers) and Advanced Statistical Methods and Models (10 papers). Chris Field collaborates with scholars based in Canada, United States and Switzerland. Chris Field's co-authors include Wade Blanchard, W. Don Bowen, Sara J. Iverson, A. H. Welsh, Anthony Almudevar, Debbie J. Dupuis, Joanna Mills Flemming, David D. Imrie, J. Adam Law and Saul Pytka and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and Management Science.

In The Last Decade

Chris Field

62 papers receiving 2.0k citations

Hit Papers

QUANTITATIVE FATTY ACID SIGNATURE ANALYSIS: A NEW METHOD ... 2004 2026 2011 2018 2004 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chris Field Canada 20 716 466 311 276 247 64 2.1k
Makio Ishiguro Japan 12 317 0.4× 240 0.5× 260 0.8× 233 0.8× 146 0.6× 52 2.3k
Jaxk Reeves United States 18 597 0.8× 607 1.3× 326 1.0× 374 1.4× 190 0.8× 40 3.1k
Ken B. Newman United States 35 1.8k 2.4× 935 2.0× 115 0.4× 1.4k 5.0× 212 0.9× 103 4.5k
Patrick Breheny United States 28 317 0.4× 245 0.5× 169 0.5× 229 0.8× 250 1.0× 91 2.8k
Patrick Brown Canada 30 135 0.2× 261 0.6× 123 0.4× 247 0.9× 261 1.1× 144 3.0k
Sibylle Sturtz Germany 10 591 0.8× 286 0.6× 403 1.3× 435 1.6× 153 0.6× 18 2.2k
Jochen Kruppa Germany 22 130 0.2× 122 0.3× 99 0.3× 46 0.2× 189 0.8× 47 2.0k
Lluís Jover Spain 32 1.6k 2.2× 507 1.1× 96 0.3× 353 1.3× 91 0.4× 103 3.4k
David R. Roberts Canada 21 1.0k 1.4× 715 1.5× 21 0.1× 842 3.1× 241 1.0× 36 2.9k
Thomas Petzoldt Germany 24 755 1.1× 371 0.8× 55 0.2× 408 1.5× 303 1.2× 57 3.1k

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-authorship network of co-authors of Chris Field

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Field. A scholar is included among the top collaborators of Chris Field based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chris Field. Chris Field is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Field, Chris, et al.. (2023). starve: An R package for spatio‐temporal analysis of research survey data using nearest‐neighbour Gaussian processes. Methods in Ecology and Evolution. 14(3). 817–830. 2 indexed citations
2.
Yan, Yuan, Eva Cantoni, Chris Field, et al.. (2023). Spatiotemporal modelling of Greenland halibut maturation across the Northwest Atlantic. ICES Journal of Marine Science. 80(6). 1787–1801. 2 indexed citations
3.
Whoriskey, Kim, et al.. (2022). Predicting aquatic animal movements and behavioural states from acoustic telemetry arrays. Methods in Ecology and Evolution. 13(5). 987–1000. 2 indexed citations
4.
Whoriskey, Kim, et al.. (2019). The Conditionally Autoregressive Hidden Markov Model (CarHMM): Inferring Behavioural States from Animal Tracking Data Exhibiting Conditional Autocorrelation. Journal of Agricultural Biological and Environmental Statistics. 24(4). 651–668. 7 indexed citations
5.
Auger‐Méthé, Marie, Chris Field, Christoffer Moesgaard Albertsen, et al.. (2016). State-space models’ dirty little secrets: even simple linear Gaussian models can have estimation problems. Scientific Reports. 6(1). 26677–26677. 89 indexed citations
6.
Xu, Ximing, Katherine A. Dunn, & Chris Field. (2015). A Robust ANOVA Approach to Estimating a Phylogeny from Multiple Genes. Molecular Biology and Evolution. 32(8). 2186–2194. 2 indexed citations
7.
Field, Chris, et al.. (2011). Phylogenetic Analysis Based on Spectral Methods. Molecular Biology and Evolution. 29(2). 579–597. 5 indexed citations
8.
Trebilco, Rowan, Benjamin S. Halpern, Joanna Mills Flemming, et al.. (2011). Mapping species richness and human impact drivers to inform global pelagic conservation prioritisation. Biological Conservation. 144(5). 1758–1766. 46 indexed citations
9.
Gu, Hong, et al.. (2008). Pattern Classification of Phylogeny Signals. Statistical Applications in Genetics and Molecular Biology. 7(1). Article 30–Article 30. 2 indexed citations
10.
Cantoni, Eva, Chris Field, Joanna Mills Flemming, & Elvezio Ronchetti. (2006). Longitudinal variable selection by cross‐validation in the case of many covariates. Statistics in Medicine. 26(4). 919–930. 19 indexed citations
11.
Gu, Hong, et al.. (2006). Test a Clade in Phylogenetic Trees. Molecular Biology and Evolution. 23(10). 1976–1983. 1 indexed citations
12.
Gu, Hong, et al.. (2005). The Comparison of the Confidence Regions in Phylogeny. Molecular Biology and Evolution. 22(11). 2285–2296. 25 indexed citations
13.
Susko, Edward, Chris Field, Christian Blouin, & Andrew J. Roger. (2003). Estimation of Rates-Across-Sites Distributions in Phylogenetic Substitution Models. Systematic Biology. 52(5). 594–603. 46 indexed citations
14.
Susko, Edward, Yuji Inagaki, Chris Field, Michael Holder, & Andrew J. Roger. (2002). Testing for Differences in Rates-Across-Sites Distributions in Phylogenetic Subtrees. Molecular Biology and Evolution. 19(9). 1514–1523. 42 indexed citations
15.
Almudevar, Anthony & Chris Field. (1999). Estimation of Single-Generation Sibling Relationships Based on DNA Markers. Journal of Agricultural Biological and Environmental Statistics. 4(2). 136–136. 79 indexed citations
16.
Dupuis, Debbie J. & Chris Field. (1998). A Comparison of confidence intervals for generalized extreme-value distributions. Journal of Statistical Computation and Simulation. 61(4). 341–360. 21 indexed citations
17.
Ritvo, Paul G., et al.. (1996). Psychosocial and neurological predictors of mental health in multiple sclerosis patients. Journal of Clinical Epidemiology. 49(4). 467–472. 24 indexed citations
18.
Field, Chris & Maureen Tingley. (1993). Small sample intervals for generalized linear regression. Communications in Statistics - Simulation and Computation. 22(3). 689–707.
19.
Smith, Bruce R. & Chris Field. (1993). VARIANCE ESTIMATION FOR QUADRATIC STATISTICS. Journal of Time Series Analysis. 14(4). 381–395. 2 indexed citations
20.
Hughes, Sean, Michael Benson, C. H. Dash, & Chris Field. (1975). Cephaloridine penetration into bone and synovial capsule of patients undergoing hip joint replacement. Journal of Antimicrobial Chemotherapy. 1(suppl 3). 41–46. 12 indexed citations

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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