John Gabrosek

584 total citations
11 papers, 358 citations indexed

About

John Gabrosek is a scholar working on Statistics and Probability, Artificial Intelligence and Environmental Engineering. According to data from OpenAlex, John Gabrosek has authored 11 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Statistics and Probability, 4 papers in Artificial Intelligence and 2 papers in Environmental Engineering. Recurrent topics in John Gabrosek's work include Statistics Education and Methodologies (6 papers), Geochemistry and Geologic Mapping (3 papers) and Spatial and Panel Data Analysis (2 papers). John Gabrosek is often cited by papers focused on Statistics Education and Methodologies (6 papers), Geochemistry and Geologic Mapping (3 papers) and Spatial and Panel Data Analysis (2 papers). John Gabrosek collaborates with scholars based in United States, France and Taiwan. John Gabrosek's co-authors include Noel Cressie, Hsin‐Cheng Huang, Michelle Everson, Beverly Wood, Nicholas J. Horton, Robert H. F. Carver, Robin H. Lock, Allan J. Rossman, J. Melvin Witmer and Paul F. Velleman and has published in prestigious journals such as The American Statistician, Journal of Computational and Graphical Statistics and Geographical Analysis.

In The Last Decade

John Gabrosek

10 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John Gabrosek United States	6	206	88	62	60	54	11	358
Pablo Gregori Spain	8	30 0.1×	43 0.5×	40 0.6×	110 1.8×	46 0.9×	28	279
Mai Zhou United States	14	434 2.1×	30 0.3×	80 1.3×	10 0.2×	37 0.7×	45	585
Atje Setiawan Abdullah Indonesia	10	19 0.1×	130 1.5×	47 0.8×	20 0.3×	22 0.4×	55	358
Edward F. Wolff United States	9	197 1.0×	16 0.2×	73 1.2×	13 0.2×	90 1.7×	15	535
Silvia Bianconcini Italy	9	53 0.3×	11 0.1×	47 0.8×	19 0.3×	71 1.3×	26	320
Ori Rosen United States	13	219 1.1×	8 0.1×	155 2.5×	22 0.4×	104 1.9×	26	623
Ruben Klein Brazil	8	111 0.5×	67 0.8×	22 0.4×	21 0.3×	21 0.4×	32	287
Michael B. Ward United States	8	89 0.4×	149 1.7×	73 1.2×	10 0.2×	17 0.3×	27	302
Khairil Anwar Notodiputro Indonesia	8	43 0.2×	7 0.1×	76 1.2×	25 0.4×	63 1.2×	108	285
P. M. Grundy United States	11	259 1.3×	12 0.1×	127 2.0×	17 0.3×	40 0.7×	16	597

Countries citing papers authored by John Gabrosek

Since Specialization

Citations

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

Fields of papers citing papers by John Gabrosek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Gabrosek

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

All Works

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11 of 11 papers shown

Carver, Robert H. F., Michelle Everson, John Gabrosek, et al.. (2016). Guidelines for Assessment and Instruction in Statistics Education (GAISE) College Report 2016. Scholarly Commons (Embry–Riddle Aeronautical University). 179 indexed citations

Everson, Michelle, et al.. (2015). GAISE Into the Future: Updating a Landmark Report for an Increasingly Data-Centric World. Scholarly Commons (Embry–Riddle Aeronautical University). 1 indexed citations

Kaplan, Jennifer J., et al.. (2014). Investigating Student Understanding of Histograms. Journal of Statistics Education. 22(2). 30 indexed citations

Gabrosek, John, et al.. (2010). Resequencing Topics in an Introductory Applied Statistics Course. The American Statistician. 64(1). 52–58. 14 indexed citations

Stephenson, Paul, et al.. (2009). How LO can You GO? Using the Dice-Based Golf Game GOLO to Illustrate Inferences on Proportions and Discrete Probability Distributions. Journal of Statistics Education. 17(2). 5 indexed citations

Gabrosek, John, et al.. (2008). Activities for Students: How LO Can You GO? Using GOLO to Illustrate the Sampling Distribution of a Sample Proportion. Mathematics Teacher Learning and Teaching PK-12. 101(7). 545–551. 2 indexed citations

Gabrosek, John, et al.. (2004). Morse Code, Scrabble, and the Alphabet. Journal of Statistics Education. 12(3). 5 indexed citations

Huang, Hsin‐Cheng, Noel Cressie, & John Gabrosek. (2002). Fast, Resolution-Consistent Spatial Prediction of Global Processes From Satellite Data. Journal of Computational and Graphical Statistics. 11(1). 63–88. 70 indexed citations

Gabrosek, John & Noel Cressie. (2002). The Effect on Attribute Prediction of Location Uncertainty in Spatial Data. Geographical Analysis. 34(3). 262–285. 27 indexed citations

10.

Gabrosek, John & Noel Cressie. (2002). The Effect on Attribute Prediction of Location Uncertainty in Spatial Data. Geographical Analysis. 34(3). 262–285. 22 indexed citations

11.

Gabrosek, John, Noel Cressie, & Hsin‐Cheng Huang. (1999). Spatio-temporal prediction of level 3 data for NASA's earth observing system. Research Online (University of Wollongong). 331–337. 3 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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