George W. Cobb

2.8k total citations
49 papers, 1.8k citations indexed

About

George W. Cobb is a scholar working on Statistics and Probability, Artificial Intelligence and Education. According to data from OpenAlex, George W. Cobb has authored 49 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Statistics and Probability, 7 papers in Artificial Intelligence and 5 papers in Education. Recurrent topics in George W. Cobb's work include Statistics Education and Methodologies (20 papers), Data Analysis with R (5 papers) and Innovations in Educational Methods (4 papers). George W. Cobb is often cited by papers focused on Statistics Education and Methodologies (20 papers), Data Analysis with R (5 papers) and Innovations in Educational Methods (4 papers). George W. Cobb collaborates with scholars based in United States, United Kingdom and Sweden. George W. Cobb's co-authors include David S. Moore, Daniel W. Schafer, Fred L. Ramsey, David Power, Lorna Stevenson, David Collison, Yung-Pin Chen, Joan Garfield, William Q. Meeker and Clifford Konold and has published in prestigious journals such as New England Journal of Medicine, JAMA and Journal of the American Statistical Association.

In The Last Decade

George W. Cobb

48 papers receiving 1.6k citations

Peers

George W. Cobb
Comparison fields: 5 of 153
  • Statistics and Probability 1.1k
  • Education 526
  • Artificial Intelligence 293
  • Strategy and Management 111
  • Ecology 97
Helen MacGillivray Australia
Phil Woodward United States
Robert H. Berk United States
Stefan Van Aelst Belgium
Yogendra P. Chaubey Canada
David K. Hildebrand United States
David Cox United Kingdom
Mark Finster United States
Steven K. Thompson United States
Rolf E. Bargmann United States
Helen MacGillivray Australia View profile →
Citations per field, relative to George W. Cobb
George W. Cobb · 1×
Citations per year, relative to George W. Cobb
George W. Cobb · 1×

Countries citing papers authored by George W. Cobb

Since Specialization
Citations

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

Fields of papers citing papers by George W. Cobb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George W. Cobb. 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 George W. Cobb. The network helps show where George W. Cobb may publish in the future.

Co-authorship network of co-authors of George W. Cobb

This figure shows the co-authorship network connecting the top 25 collaborators of George W. Cobb. A scholar is included among the top collaborators of George W. Cobb 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 George W. Cobb. George W. Cobb 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
# Title Journal Authors Indexed citations
1 Introduction to Statistical Investigations (2nd ed.) Dordt Digital Collections (Dordt College) Nathan Tintle, Beth Chance et al. 0
2 STAT2: Modeling with Regression and ANOVA George W. Cobb, Julie Legler et al. 6
3 Mere Renovation is Too Little Too Late: We Need to Rethink our Undergraduate Curriculum from the Ground Up The American Statistician George W. Cobb 68
4 Combating Anti-Statistical Thinking Using Simulation-Based Methods Throughout the Undergraduate Curriculum The American Statistician Nathan Tintle, Beth Chance et al. 27
5 STAT2: Building Models for a World of Data George W. Cobb, Julie Legler et al. 11
6 Statistics: From Data to Decision Medical Entomology and Zoology Ann Watkins, George W. Cobb et al. 11
7 FTSE4Good: exploring its implications for corporate conduct Accounting Auditing & Accountability Journal David Collison, George W. Cobb et al. 41
8 One Possible Frame for Thinking about Experiential Learning International Statistical Review George W. Cobb 13
9 Net Ecosystem Exchange of Carbon dioxide in a Temperate Poor Fen: a Comparison of Automated and Manual Chamber Techniques Biogeochemistry Elizabeth H. Burrows, Jill L. Bubier et al. 35
10 Statistics and Mathematics: Tension and Cooperation American Mathematical Monthly David S. Moore, George W. Cobb 19
11 Discussion The American Statistician George W. Cobb 1
12 Introduction to Design and Analysis of Experiments Technometrics George W. Cobb et al. 15
13 [Let's Use CQI in Our Statistics Programs]: Discussion The American Statistician George W. Cobb 5
14 An Electronic Companion to Statistics (book and CD ROM) Teaching Statistics George W. Cobb, Jeffrey A. Witmer et al. 2
15 An Electronic Companion to Statistics (CD-ROM) The American Statistician J. Laurie Snell, George W. Cobb et al. 1
16 Mathematics, Statistics, and Teaching American Mathematical Monthly George W. Cobb, David S. Moore 303
17 An electronic companion to business statistics Medical Entomology and Zoology Jonathan D. Cryer, George W. Cobb et al. 1
18 Statistics Education Fin de Siecle The American Statistician David S. Moore, George W. Cobb et al. 13
19 Reconsidering Statistics Education: A National Science Foundation Conference Journal of Statistics Education George W. Cobb 93
20 Teaching of Statistics in the Computer Age. Journal of the American Statistical Association George W. Cobb, Lennart Råde et al. 3

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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