John V. Grice

3.2k total citations · 1 hit paper
8 papers, 2.4k citations indexed

About

John V. Grice is a scholar working on Statistics and Probability, Management Science and Operations Research and Signal Processing. According to data from OpenAlex, John V. Grice has authored 8 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Statistics and Probability, 2 papers in Management Science and Operations Research and 1 paper in Signal Processing. Recurrent topics in John V. Grice's work include Advanced Statistical Methods and Models (3 papers), Statistical Distribution Estimation and Applications (3 papers) and Optimal Experimental Design Methods (2 papers). John V. Grice is often cited by papers focused on Advanced Statistical Methods and Models (3 papers), Statistical Distribution Estimation and Applications (3 papers) and Optimal Experimental Design Methods (2 papers). John V. Grice collaborates with scholars based in United States. John V. Grice's co-authors include Douglas C. Montgomery, Lee J. Bain, Ronald L. Iman, Jan P. Allebach and Max Engelhardt and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Communications in Statistics - Simulation and Computation.

In The Last Decade

John V. Grice

7 papers receiving 2.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Design and Analysis of Experiments

2000 2.1k citations John V. Grice, Douglas C. Montgomery Technometrics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John V. Grice United States	5	650	455	336	211	204	8	2.4k
Kerry Wilson United Kingdom	2	613 0.9×	536 1.2×	239 0.7×	178 0.8×	227 1.1×	3	3.4k
Daniel Voss United States	11	810 1.2×	667 1.5×	445 1.3×	274 1.3×	304 1.5×	30	4.0k
Angela Dean United Kingdom	5	506 0.8×	379 0.8×	267 0.8×	165 0.8×	215 1.1×	15	2.4k
Angela Dean United States	21	355 0.5×	253 0.6×	282 0.8×	118 0.6×	262 1.3×	90	2.5k
Ronald C. Suich United States	6	841 1.3×	629 1.4×	510 1.5×	217 1.0×	371 1.8×	19	4.1k
Danel Draguljić United States	10	517 0.8×	381 0.8×	269 0.8×	165 0.8×	237 1.2×	18	2.6k
Karen A. F. Copeland United States	14	354 0.5×	259 0.6×	176 0.5×	156 0.7×	161 0.8×	28	2.9k
André I. Khuri United States	24	841 1.3×	693 1.5×	356 1.1×	322 1.5×	354 1.7×	65	5.4k
Gary Sullivan United States	12	390 0.6×	294 0.6×	245 0.7×	78 0.4×	122 0.6×	20	2.3k
George C. Derringer United States	11	910 1.4×	655 1.4×	533 1.6×	224 1.1×	372 1.8×	22	4.5k

Countries citing papers authored by John V. Grice

Since Specialization

Citations

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

Fields of papers citing papers by John V. Grice

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John V. Grice

This figure shows the co-authorship network connecting the top 25 collaborators of John V. Grice. A scholar is included among the top collaborators of John V. Grice 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 V. Grice. John V. Grice 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.

Grice, John V. & Douglas C. Montgomery. (2000). Design and Analysis of Experiments. Technometrics. 42(2). 208–208. 2081 indexed citations breakdown →

2.

Grice, John V.. (2000). Design and Analysis of Experiment. Technometrics. 42(2). 208–209. 266 indexed citations

3.

Grice, John V. & Jan P. Allebach. (1999). The Print Quality Toolkit: An Integrated Print Quality Assessment Tool. Journal of Imaging Science and Technology. 43(2). 187–199. 1 indexed citations

4.

Grice, John V. & Ronald L. Iman. (1996). A Data-Based Approach to Statistics. Technometrics. 38(4). 405–405. 26 indexed citations

5.

Grice, John V.. (1989). Graphical Exploratory Data Analysis. Technometrics. 31(1). 116–117. 3 indexed citations

6.

Grice, John V. & Lee J. Bain. (1980). Inferences concerning the Mean of the Gamma Distribution. Journal of the American Statistical Association. 75(372). 929–933. 46 indexed citations

7.

Grice, John V. & Lee J. Bain. (1980). Inferences Concerning the Mean of the Gamma Distribution. Journal of the American Statistical Association. 75(372). 929–929. 19 indexed citations

8.

Grice, John V., Lee J. Bain, & Max Engelhardt. (1978). Comparison of conditional and unconditional confidence intervals for the double exponential distribution. Communications in Statistics - Simulation and Computation. 7(5). 515–524. 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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