Barry K. Lavine

4.3k total citations
153 papers, 3.2k citations indexed

About

Barry K. Lavine is a scholar working on Analytical Chemistry, Biomedical Engineering and Spectroscopy. According to data from OpenAlex, Barry K. Lavine has authored 153 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Analytical Chemistry, 56 papers in Biomedical Engineering and 40 papers in Spectroscopy. Recurrent topics in Barry K. Lavine's work include Spectroscopy and Chemometric Analyses (59 papers), Advanced Chemical Sensor Technologies (42 papers) and Analytical Chemistry and Chromatography (36 papers). Barry K. Lavine is often cited by papers focused on Spectroscopy and Chemometric Analyses (59 papers), Advanced Chemical Sensor Technologies (42 papers) and Analytical Chemistry and Chromatography (36 papers). Barry K. Lavine collaborates with scholars based in United States, Canada and Thailand. Barry K. Lavine's co-authors include Jerome Workman, Robert Κ. Vander Meer, Nikhil Mirjankar, Jerry Workman, Howard T. Mayfield, Laurence Morel, Tao Ding, Sumar Hendayana, Christine A. Johnson and Ray W. Chrisman and has published in prestigious journals such as Science, Analytical Chemistry and Journal of Colloid and Interface Science.

In The Last Decade

Barry K. Lavine

151 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Barry K. Lavine United States 32 1.3k 1.1k 696 526 427 153 3.2k
Alessandro Ulrici Italy 35 1.2k 0.9× 964 0.9× 174 0.3× 412 0.8× 284 0.7× 127 3.0k
Simon W. Lewis Australia 34 725 0.5× 854 0.8× 672 1.0× 970 1.8× 106 0.2× 162 4.0k
Vincent Baeten Belgium 39 2.8k 2.1× 1.1k 1.1× 143 0.2× 1.3k 2.5× 1.0k 2.4× 177 4.9k
Marena Manley South Africa 37 1.9k 1.4× 943 0.9× 71 0.1× 567 1.1× 799 1.9× 136 5.5k
Gérard Downey Ireland 49 5.3k 4.0× 2.6k 2.4× 207 0.3× 1.6k 3.0× 1.6k 3.8× 151 8.2k
Juan Antonio Fernández Pierna Belgium 33 2.0k 1.5× 697 0.7× 81 0.1× 490 0.9× 705 1.7× 110 3.0k
Paolo Oliveri Italy 34 1.7k 1.3× 1.3k 1.2× 285 0.4× 856 1.6× 432 1.0× 102 3.3k
Aoife Gowen Ireland 37 2.8k 2.1× 1.7k 1.6× 144 0.2× 524 1.0× 1.1k 2.6× 143 5.9k
Lars Nørgaard Denmark 29 2.4k 1.8× 933 0.9× 330 0.5× 580 1.1× 855 2.0× 67 3.9k
Monica Casale Italy 28 1.4k 1.0× 810 0.8× 170 0.2× 601 1.1× 311 0.7× 79 2.4k

Countries citing papers authored by Barry K. Lavine

Since Specialization
Citations

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

Fields of papers citing papers by Barry K. Lavine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Barry K. Lavine. 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 Barry K. Lavine. The network helps show where Barry K. Lavine may publish in the future.

Co-authorship network of co-authors of Barry K. Lavine

This figure shows the co-authorship network connecting the top 25 collaborators of Barry K. Lavine. A scholar is included among the top collaborators of Barry K. Lavine 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 Barry K. Lavine. Barry K. Lavine 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.
2.
Ketterer, Michael E., et al.. (2023). Supervised discretization for decluttering classification models. The Analyst. 148(23). 6097–6108. 3 indexed citations
3.
Booksh, Karl S., et al.. (2023). Authentication of edible oils using an infrared spectral library and digital sample sets: A feasibility study. Journal of Chemometrics. 37(3). 7 indexed citations
4.
Ottaway, J. M., et al.. (2021). Comparison of Spectroscopic Techniques for Determining the Peroxide Value of 19 Classes of Naturally Aged, Plant-Based Edible Oils. Applied Spectroscopy. 75(7). 781–794. 17 indexed citations
5.
Lavine, Barry K., José R. Almirall, Cyril Muehlethaler, Cédric Neumann, & Jerome Workman. (2020). Criteria for comparing infrared spectra – A review of the forensic and analytical chemistry literature. Forensic Chemistry. 18. 100224–100224. 28 indexed citations
6.
Ottaway, J. M., et al.. (2020). EXPRESS: Comparison of Spectroscopic Techniques for Determining the Peroxide Value of 19 Classes of Naturally Aged, Plant-Based Edible Oils. Applied Spectroscopy. 914910014–914910014. 1 indexed citations
7.
Lavine, Barry K., et al.. (2019). Differentiation of Edible Oils by Type Using Raman Spectroscopy and Pattern Recognition Methods. Applied Spectroscopy. 74(6). 645–654. 23 indexed citations
8.
Lavine, Barry K., et al.. (2019). Incorporating brand variability into classification of edible oils by Raman spectroscopy. Journal of Chemometrics. 34(7). 15 indexed citations
9.
Lavine, Barry K.. (2018). Special Issue: Chemometrics. Applied Spectroscopy. 72(3). 339–339. 4 indexed citations
10.
11.
Lavine, Barry K., et al.. (2016). Forensic analysis of automotive paints using a pattern recognition assisted infrared library searching system: Ford (2000–2006). Microchemical Journal. 129. 173–183. 17 indexed citations
12.
Shirtcliff, Laura D., et al.. (2014). 1,6- And 1,7-Regioisomers of Perylene Tetracarboxylic Dianhydride and Diimide: The Effects of Neutral Bay Substituents on the Electrochemical and Structural Properties. Phosphorus, sulfur, and silicon and the related elements. 189(6). 738–752. 9 indexed citations
13.
Lavine, Barry K., Nikhil Mirjankar, Ryan F. LeBouf, & Alan Rossner. (2012). Prediction of mold contamination from microbial volatile organic compound profiles using solid phase microextraction and gas chromatography/mass spectrometry. Microchemical Journal. 103. 37–41. 23 indexed citations
14.
Lavine, Barry K., et al.. (2012). Odor-Structure Relationship Studies of Tetralin and Indan Musks. Chemical Senses. 37(8). 723–736. 14 indexed citations
15.
Eiceman, Gary A., et al.. (2006). Pattern recognition analysis of differential mobility spectra with classification by chemical family. Analytica Chimica Acta. 579(1). 1–10. 36 indexed citations
16.
Andreescu, Silvana, et al.. (2005). Multiarray Sensors with Pattern Recognition for the Detection, Classification, and Differentiation of Bacteria at Subspecies and Strain Levels. Analytical Chemistry. 77(24). 7941–7949. 66 indexed citations
17.
Lavine, Barry K. & Jerome Workman. (2004). Chemometrics. Analytical Chemistry. 76(12). 3365–3372. 50 indexed citations
18.
Lavine, Barry K., et al.. (2001). Fuel Spill Identification Using Solid-Phase Extraction and Solid-Phase Microextraction. I. Aviation Turbine Fuels. Journal of Chromatographic Science. 39(12). 501–507. 9 indexed citations
19.
Lavine, Barry K.. (1993). SCAN: Software for chemometric analysis. Chemometrics and Intelligent Laboratory Systems. 20(1). 93–94. 15 indexed citations
20.
Meer, Robert Κ. Vander, et al.. (1989). Temporal changes in colony cuticular hydrocarbon patterns ofSolenopsis invicta. Journal of Chemical Ecology. 15(7). 2115–2125. 119 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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