CJ Carey

13.6k total citations
20 papers, 347 citations indexed

About

CJ Carey is a scholar working on Artificial Intelligence, Analytical Chemistry and Mechanics of Materials. According to data from OpenAlex, CJ Carey has authored 20 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Analytical Chemistry and 5 papers in Mechanics of Materials. Recurrent topics in CJ Carey's work include Geochemistry and Geologic Mapping (8 papers), Laser-induced spectroscopy and plasma (5 papers) and X-ray Spectroscopy and Fluorescence Analysis (5 papers). CJ Carey is often cited by papers focused on Geochemistry and Geologic Mapping (8 papers), Laser-induced spectroscopy and plasma (5 papers) and X-ray Spectroscopy and Fluorescence Analysis (5 papers). CJ Carey collaborates with scholars based in United States, Australia and Italy. CJ Carey's co-authors include M. D. Dyar, Thomas Boucher, Sridhar Mahadevan, Stephen Giguere, Paul Bartholomew, Antonio Lanzirotti, E. A. Breves, M. C. McCanta, L. B. Breitenfeld and Thomas J. Tague and has published in prestigious journals such as American Mineralogist, Applied Spectroscopy and Journal of Raman Spectroscopy.

In The Last Decade

CJ Carey

20 papers receiving 338 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
CJ Carey United States 10 128 119 110 64 60 20 347
Thomas Boucher United States 10 298 2.3× 304 2.6× 76 0.7× 12 0.2× 120 2.0× 18 453
Dayana Oropeza United States 12 300 2.3× 306 2.6× 23 0.2× 17 0.3× 67 1.1× 16 445
François R. Doucet Canada 13 410 3.2× 469 3.9× 42 0.4× 9 0.1× 180 3.0× 19 526
César Álvarez-Llamas Spain 12 261 2.0× 313 2.6× 13 0.1× 3 0.0× 51 0.8× 32 456
Honglei Zhan China 13 76 0.6× 140 1.2× 47 0.4× 17 0.3× 6 0.1× 53 493
Xinyang Miao China 11 88 0.7× 173 1.5× 51 0.5× 11 0.2× 8 0.1× 76 494
Honglei Zhan China 14 85 0.7× 144 1.2× 30 0.3× 20 0.3× 4 0.1× 46 535
Kathryn E. Washburn United States 17 149 1.2× 560 4.7× 57 0.5× 120 1.9× 11 0.2× 31 997
N. L. Scherbarth United States 4 223 1.7× 321 2.7× 46 0.4× 52 0.8× 104 1.7× 5 391
Ashwin Kumar Myakalwar Chile 12 367 2.9× 431 3.6× 27 0.2× 2 0.0× 127 2.1× 22 520

Countries citing papers authored by CJ Carey

Since Specialization
Citations

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

Fields of papers citing papers by CJ Carey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of CJ Carey

This figure shows the co-authorship network connecting the top 25 collaborators of CJ Carey. A scholar is included among the top collaborators of CJ Carey 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 CJ Carey. CJ Carey 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.
Carey, CJ, Travis Dick, Alessandro Epasto, et al.. (2023). Measuring Re-identification Risk. Proceedings of the ACM on Management of Data. 1(2). 1–26. 9 indexed citations
2.
Carey, CJ. (2021). Graph Construction for Manifold Discovery. Scholarworks (University of Massachusetts Amherst). 4 indexed citations
3.
Breitenfeld, L. B., M. D. Dyar, CJ Carey, et al.. (2018). Predicting olivine composition using Raman spectroscopy through band shift and multivariate analyses. American Mineralogist. 103(11). 1827–1836. 37 indexed citations
4.
Lanzirotti, Antonio, M. D. Dyar, S. R. Sutton, et al.. (2018). Accurate predictions of microscale oxygen barometry in basaltic glasses using V K-edge X-ray absorption spectroscopy: A multivariate approach. American Mineralogist. 103(8). 1282–1297. 18 indexed citations
5.
Carey, CJ, M. D. Dyar, Thomas O. Boucher, & Stephen Giguere. (2017). Web-Based Software for Preprocessing, Matching, Fitting, Prediction, and Visualization of Spectroscopic Data: The Data Exploration, Visualization, and Analysis of Spectra (DEVAS) Website. LPI. 1097. 11 indexed citations
6.
Lanzirotti, Antonio, M. D. Dyar, S. R. Sutton, et al.. (2017). Preliminary Calibration for Accurate Predictions of Microscale Oxygen Barometry in Silicate Glasses Using Vanadium X-Ray Absorption Spectroscopy: A Multivariate Approach. Lunar and Planetary Science Conference. 1650. 1 indexed citations
7.
Breitenfeld, L. B., et al.. (2017). Predicting Olivine Composition Using Raman Spectroscopy Through Band Shift and Multivariate Analysis. Lunar and Planetary Science Conference. 1898. 1 indexed citations
8.
Giguere, Stephen, Thomas Boucher, CJ Carey, Sridhar Mahadevan, & M. D. Dyar. (2017). A Fully Customized Baseline Removal Framework for Spectroscopic Applications. Applied Spectroscopy. 71(7). 1457–1470. 11 indexed citations
9.
Dyar, M. D., C. I. Fassett, Stephen Giguere, et al.. (2016). Comparison of univariate and multivariate models for prediction of major and minor elements from laser-induced breakdown spectra with and without masking. Spectrochimica Acta Part B Atomic Spectroscopy. 123. 93–104. 41 indexed citations
10.
Boucher, Thomas, M. D. Dyar, CJ Carey, Stephen Giguere, & Suvrath Mahadevan. (2016). Calibration Transfer for Spectroscopy in Space Science. Lunar and Planetary Science Conference. 2784. 2 indexed citations
11.
Dyar, M. D., L. B. Breitenfeld, CJ Carey, et al.. (2016). Interlaboratory and Cross-Instrument Comparison of Raman Spectra of 96 Minerals. LPI. 2240. 2 indexed citations
12.
Dyar, M. D., Stephen Giguere, CJ Carey, & Thomas Boucher. (2016). Comparison of baseline removal methods for laser-induced breakdown spectroscopy of geological samples. Spectrochimica Acta Part B Atomic Spectroscopy. 126. 53–64. 45 indexed citations
13.
Dyar, M. D., M. C. McCanta, E. A. Breves, CJ Carey, & Antonio Lanzirotti. (2016). Accurate predictions of iron redox state in silicate glasses: A multivariate approach using X-ray absorption spectroscopy. American Mineralogist. 101(3). 744–747. 27 indexed citations
14.
Dyar, M. D., E. A. Breves, Mickey E. Gunter, et al.. (2016). Use of multivariate analysis for synchrotron micro-XANES analysis of iron valence state in amphiboles. American Mineralogist. 101(5). 1171–1189. 35 indexed citations
15.
Boucher, Thomas, M. D. Dyar, CJ Carey, et al.. (2015). Calibration Transfer of LIBS Spectra to Correct for Mars-Earth Lab Differences. LPI. 2773. 1 indexed citations
16.
Boucher, Thomas, CJ Carey, M. D. Dyar, et al.. (2015). Manifold preprocessing for laser‐induced breakdown spectroscopy under Mars conditions. Journal of Chemometrics. 29(9). 484–491. 12 indexed citations
17.
Carey, CJ, Thomas Boucher, Sridhar Mahadevan, Paul Bartholomew, & M. D. Dyar. (2015). Machine learning tools formineral recognition and classification from Raman spectroscopy. Journal of Raman Spectroscopy. 46(10). 894–903. 81 indexed citations
18.
Boucher, Thomas, CJ Carey, Sridhar Mahadevan, & M. D. Dyar. (2015). Aligning Mixed Manifolds. Proceedings of the AAAI Conference on Artificial Intelligence. 29(1). 6 indexed citations
19.
Dyar, M. D., M. C. McCanta, Antonio Lanzirotti, et al.. (2014). Redox State of Iron in Lunar Glasses using X-ray Absorption Spectroscopy and Multivariate Analysis. AGU Fall Meeting Abstracts. 2014. 1 indexed citations
20.
Carey, CJ & Sridhar Mahadevan. (2014). Manifold Spanning Graphs. Proceedings of the AAAI Conference on Artificial Intelligence. 28(1). 2 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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