Peter D. Wentzell

3.5k total citations
103 papers, 2.7k citations indexed

About

Peter D. Wentzell is a scholar working on Analytical Chemistry, Biomedical Engineering and Spectroscopy. According to data from OpenAlex, Peter D. Wentzell has authored 103 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Analytical Chemistry, 28 papers in Biomedical Engineering and 25 papers in Spectroscopy. Recurrent topics in Peter D. Wentzell's work include Spectroscopy and Chemometric Analyses (54 papers), Advanced Chemical Sensor Technologies (26 papers) and Analytical Chemistry and Chromatography (22 papers). Peter D. Wentzell is often cited by papers focused on Spectroscopy and Chemometric Analyses (54 papers), Advanced Chemical Sensor Technologies (26 papers) and Analytical Chemistry and Chromatography (22 papers). Peter D. Wentzell collaborates with scholars based in Canada, United States and Brazil. Peter D. Wentzell's co-authors include Lorenzo Vega‐Montoto, Hans‐Peter Loock, Darren T. Andrews, Bruce R. Kowalski, Christopher D. Brown, S. R. Crouch, Tobias K. Karakach, Adrian P. Wade, David C. Hamilton and Klaas Faber and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Analytical Chemistry.

In The Last Decade

Peter D. Wentzell

100 papers receiving 2.5k citations

Peers

Peter D. Wentzell

SPECT

IME

Fredrik Lindgren Sweden

Hamid Abdollahi Iran

M. Daszykowski Poland

L.A. Sarabia Spain

Sijmen de Jong Netherlands

M.C. Ortiz Spain

Alexey L. Pomerantsev Russia

Cyril Ruckebusch France

G. Kateman Netherlands

D.L. Massart Belgium

Fredrik Lindgren Sweden

Peter D. Wentzell

1.3k ×1.0

449 ×0.7

749 ×1.3

315 ×0.7

SPECT

360 ×1.2

IME

Citations per year, relative to Peter D. Wentzell Peter D. Wentzell (= 1×) peers Fredrik Lindgren

Countries citing papers authored by Peter D. Wentzell

Since Specialization

Citations

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

Fields of papers citing papers by Peter D. Wentzell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter D. Wentzell. 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 Peter D. Wentzell. The network helps show where Peter D. Wentzell may publish in the future.

Co-authorship network of co-authors of Peter D. Wentzell

This figure shows the co-authorship network connecting the top 25 collaborators of Peter D. Wentzell. A scholar is included among the top collaborators of Peter D. Wentzell 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 Peter D. Wentzell. Peter D. Wentzell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wentzell, Peter D., et al.. (2025). Augmented kurtosis-based projection pursuit: a novel, advanced machine learning approach for multi-omics data analysis and integration. Nucleic Acids Research. 53(17).

Gagnon, Hugo, et al.. (2024). Assessing the precision of a detergent‐assisted cartridge precipitation workflow for non‐targeted quantitative proteomics. PROTEOMICS. 24(10). e2300339–e2300339. 2 indexed citations

Kompany‐Zareh, Mohsen, et al.. (2023). Maximum likelihood factor analysis for resolution of noisy smartphone based diffuse reflectance data from CdS pigments. Chemometrics and Intelligent Laboratory Systems. 237. 104818–104818. 1 indexed citations

Kompany‐Zareh, Mohsen, et al.. (2023). Factor analysis for signal modeling and noise characterization in spectro-kinetic data. Chemometrics and Intelligent Laboratory Systems. 240. 104916–104916. 2 indexed citations

Wentzell, Peter D., et al.. (2023). Exploring the scores: Procrustes analysis for comprehensive exploration of multivariate data. Chemometrics and Intelligent Laboratory Systems. 238. 104841–104841. 3 indexed citations

Burton, Ian W., et al.. (2023). Analysis and Discrimination of Canadian Honey Using Quantitative NMR and Multivariate Statistical Methods. Molecules. 28(4). 1656–1656. 3 indexed citations

Wentzell, Peter D., et al.. (2022). Coupling of multivariate curve resolution-alternating least squares and mechanistic hard models to investigate antibody purification from human plasma using ion exchange chromatography. Journal of Chromatography A. 1675. 463168–463168. 1 indexed citations

Wentzell, Peter D., et al.. (2021). Beyond principal components: a critical comparison of factor analysis methods for subspace modelling in chemistry. Analytical Methods. 13(37). 4188–4219. 11 indexed citations

Wentzell, Peter D., et al.. (2021). Combinatorial projection pursuit analysis for exploring multivariate chemical data. Analytica Chimica Acta. 1174. 338716–338716. 6 indexed citations

10.

Valderrama, Patrícia, et al.. (2020). Partial least squares discrimination applied to a few samples dataset: A case for predicting the presence of pesticide in lettuce. Journal of Chemometrics. 34(12). 4 indexed citations

11.

Dowd, Michael, et al.. (2019). Simulation of 1/f^α noise for analytical measurements. Journal of Chemometrics. 34(7). 1 indexed citations

12.

Wentzell, Peter D., et al.. (2019). Sparse Projection Pursuit Analysis: An Alternative for Exploring Multivariate Chemical Data. Analytical Chemistry. 92(2). 1755–1762. 8 indexed citations

13.

Wentzell, Peter D., et al.. (2016). Improved modeling of multivariate measurement errors based on the Wishart distribution. Analytica Chimica Acta. 959. 1–14. 15 indexed citations

14.

Silva, Carolina S., André Braz, Maria Fernanda Pimentel, et al.. (2016). Projection pursuit and PCA associated with near and middle infrared hyperspectral images to investigate forensic cases of fraudulent documents. Microchemical Journal. 130. 412–419. 41 indexed citations

15.

Allegrini, Franco, Peter D. Wentzell, & Alejandro C. Olivieri. (2015). Generalized error-dependent prediction uncertainty in multivariate calibration. Analytica Chimica Acta. 903. 51–60. 29 indexed citations

16.

Wentzell, Peter D., et al.. (2015). Procrustes rotation as a diagnostic tool for projection pursuit analysis. Analytica Chimica Acta. 877. 51–63. 11 indexed citations

17.

Wentzell, Peter D., et al.. (2014). Characterization of heteroscedastic measurement noise in the absence of replicates. Analytica Chimica Acta. 847. 16–28. 19 indexed citations

18.

Wentzell, Peter D., Tobias K. Karakach, Sushmita Roy, et al.. (2006). Multivariate curve resolution of time course microarray data. BMC Bioinformatics. 7(1). 343–343. 83 indexed citations

19.

Aragon, Anthony D., Gabriel Quiñones, Chris Allen, et al.. (2005). An automated, pressure-driven sampling device for harvesting from liquid cultures for genomic and biochemical analyses. Journal of Microbiological Methods. 65(2). 357–360. 4 indexed citations

20.

Martinez, M. Juanita, Sushmita Roy, Peter D. Wentzell, et al.. (2004). Genomic Analysis of Stationary-Phase and Exit inSaccharomyces cerevisiae: Gene Expression and Identification of Novel Essential Genes. Molecular Biology of the Cell. 15(12). 5295–5305. 127 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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