John M. Nocerino

546 total citations
8 papers, 395 citations indexed

About

John M. Nocerino is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Environmental Engineering. According to data from OpenAlex, John M. Nocerino has authored 8 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Statistics and Probability, 3 papers in Statistics, Probability and Uncertainty and 2 papers in Environmental Engineering. Recurrent topics in John M. Nocerino's work include Advanced Statistical Methods and Models (4 papers), Advanced Statistical Process Monitoring (3 papers) and Soil Geostatistics and Mapping (2 papers). John M. Nocerino is often cited by papers focused on Advanced Statistical Methods and Models (4 papers), Advanced Statistical Process Monitoring (3 papers) and Soil Geostatistics and Mapping (2 papers). John M. Nocerino collaborates with scholars based in United States and Ghana. John M. Nocerino's co-authors include Anita Singh, Robert W Gerlach, Stanley N. Deming, Charles A. Ramsey, Steven M. Pyle, Patricia M. Fitzpatrick, William H. Cole, Eric L. Miller, Brian Schumacher and Martin A. Stapanian and has published in prestigious journals such as Environmental Science & Technology, Analytica Chimica Acta and Chemometrics and Intelligent Laboratory Systems.

In The Last Decade

John M. Nocerino

8 papers receiving 364 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John M. Nocerino United States	7	103	56	50	47	45	8	395
Jean‐Sébastien Dubé Canada	12	90 0.9×	60 1.1×	34 0.7×	24 0.5×	4 0.1×	39	437
Jonathan W. Peterson United States	13	131 1.3×	38 0.7×	73 1.5×		35 0.8×	24	653
Carlo Porfido Italy	15	128 1.2×	73 1.3×	28 0.6×	1 0.0×	58 1.3×	38	572
Zhuang China	10	121 1.2×	52 0.9×	23 0.5×		30 0.7×	41	361
Itza Mendoza‐Sanchez United States	11	56 0.5×	76 1.4×	8 0.2×	2 0.0×	12 0.3×	26	415
Panpan Li China	14	100 1.0×	33 0.6×	41 0.8×	1 0.0×	25 0.6×	26	390
Kuo Li China	11	203 2.0×	101 1.8×	94 1.9×		28 0.6×	22	458
Ahmed Melegy Egypt	13	115 1.1×	54 1.0×	70 1.4×		9 0.2×	34	398
Paul J. Harvey Australia	8	155 1.5×	159 2.8×	36 0.7×		18 0.4×	20	362
Lei Lü China	10	102 1.0×	48 0.9×	31 0.6×		23 0.5×	31	304

Countries citing papers authored by John M. Nocerino

Since Specialization

Citations

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

Fields of papers citing papers by John M. Nocerino

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John M. Nocerino. 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 John M. Nocerino. The network helps show where John M. Nocerino may publish in the future.

Co-authorship network of co-authors of John M. Nocerino

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

All Works

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8 of 8 papers shown

1.

Nocerino, John M., et al.. (2005). Role of Laboratory Sampling Devices and Laboratory Subsampling Methods in Representative Sampling Strategies. Environmental Forensics. 6(1). 35–44. 17 indexed citations

2.

Gerlach, Robert W, et al.. (2003). Gy sampling theory in environmental studies. Analytica Chimica Acta. 490(1-2). 159–168. 33 indexed citations

3.

Gerlach, Robert W, et al.. (2002). Gy sampling theory in environmental studies. 1. Assessing soil splitting protocols. Journal of Chemometrics. 16(7). 321–328. 144 indexed citations

4.

Singh, Anita & John M. Nocerino. (2002). Robust estimation of mean and variance using environmental data sets with below detection limit observations. Chemometrics and Intelligent Laboratory Systems. 60(1-2). 69–86. 91 indexed citations

5.

Singh, Anita & John M. Nocerino. (1997). Robust intervals for some environmental applications. Chemometrics and Intelligent Laboratory Systems. 37(1). 55–69. 3 indexed citations

6.

Pyle, Steven M., John M. Nocerino, Stanley N. Deming, et al.. (1995). Comparison of AAS, ICP-AES, PSA, and XRF in Determining Lead and Cadmium in Soil. Environmental Science & Technology. 30(1). 204–213. 81 indexed citations

7.

Stapanian, Martin A., et al.. (1993). Finding suspected causes of measurement error in multivariate environmental data. Journal of Chemometrics. 7(3). 165–176. 11 indexed citations

8.

Deming, Stanley N., et al.. (1993). The geometry of multivariate object preprocessing. Journal of Chemometrics. 7(5). 393–425. 15 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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