David P. Doane

20 papers receiving 762 citations

David P. Doane's Hit Papers

Measuring Skewness: A Forgotten Statistic? 2011 · 507 citations
5070+5+10Years since publication100200300400500

Peers

David P. Doane
Comparison fields: 5 of 201
  • Statistics and Probability 73
  • Statistics, Probability and Uncertainty 30
  • General Decision Sciences 7
  • Artificial Intelligence 111
  • Management Information Systems 27
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Countries citing papers authored by David P. Doane

Since Specialization
Citations

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

Fields of papers citing papers by David P. Doane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David P. Doane. 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 David P. Doane. The network helps show where David P. Doane may publish in the future.

Co-authors

The 16 scholars most cited alongside David P. Doane, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David P. Doane Line = papers co-authored together David P. Doane links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Measuring Skewness: A Forgotten Statistic?
Hit paper breakdown →
2011507
2 1976148
3
Applied statistics in business and economics
200651
4 197637
5 200418
6 200711
7 200010
8 19839
9 19717
10 20005
11 20054
12 19943
13 19913
14
Exploring statistics with the IBM PC
19853
15 19863
16
REGIONAL STRUCTURE OF THE COTTON TEXTILE INDUSTRY, 1880 TO 1900
19692
17
Visual Statistics 2.0
19972
18 20221
19 19951
20
Visual statistics, Part I
19971

About David P. Doane

David P. Doane is a scholar working on Statistics and Probability, Management Information Systems, Food Science, Political Science and International Relations and Sociology and Political Science, having authored 21 papers that have together received 826 indexed citations. Recurring topics across this work include Statistics Education and Methodologies (3 papers), Advanced Statistical Methods and Models (2 papers), Complex Systems and Decision Making (1 paper), Management and Marketing Education (1 paper), Russia and Soviet political economy (1 paper), Accounting Education and Careers (1 paper), Data Visualization and Analytics (1 paper) and Sensory Analysis and Statistical Methods (1 paper). The work is most often cited by research in Statistics and Probability (73 citations), Statistics, Probability and Uncertainty (30 citations), General Decision Sciences (7 citations), Artificial Intelligence (111 citations) and Management Information Systems (27 citations). David P. Doane has collaborated with scholars based in United States. Frequent co-authors include Balaji Rajagopalan, Kenneth M. York, Mohan Tanniru, Thomas Lauer, Kieran Mathieson, Daniel N. Braunstein, Kevin Murphy, Brian L. Joiner, Benjamin D. Wright and Robert L. Winkler. Their work appears in journals such as The American Statistician, Journal of Comparative Economics, Explorations in Economic History, Journal of the American Statistical Association and Journal of Education for Business.

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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