Don Miller

13 papers receiving 476 citations

Peers

Don Miller
Comparison fields: 5 of 123
  • Statistics and Probability 66
  • Management Science and Operations Research 99
  • Nature and Landscape Conservation 82
  • Water Science and Technology 88
  • Soil Science 56
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Bradley S. Price United States
José Garcı́a Pérez Spain
Weiwen Miao United States
N. Ross Lambie Australia
J. N. R. Jeffers United Kingdom
Eithan Hochman Israel
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Zhenlin Yang Singapore
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Citations per year

Countries citing papers authored by Don Miller

Since Specialization
Citations

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

Fields of papers citing papers by Don Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Don Miller, 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 Don Miller Line = papers co-authored together Don Miller links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1984266
2 198491
3 200246
4 200438
5
Antecedents of computer technology usage: considerations of the technology acceptance model in the academic environment
200435
6
Computer Literacy: Implications for Teaching a College-Level Course.
200222
7 200021
8 199920
9
Using writing assignments in teaching statistics: an empirical study
199213
10 19858
11
An introduction to modern business statistics
19937
12 19956
13 19825
14 20171
15 19961

About Don Miller

Don Miller is a scholar working on Statistics and Probability, General Economics, Econometrics and Finance, Management Science and Operations Research, Gender Studies and Information Systems and Management, having authored 15 papers that have together received 580 indexed citations. Recurring topics across this work include Forecasting Techniques and Applications (4 papers), Monetary Policy and Economic Impact (3 papers), Advanced Statistical Methods and Models (2 papers), Statistics Education and Methodologies (2 papers), Gender and Technology in Education (2 papers), Water resources management and optimization (1 paper), Image Processing and 3D Reconstruction (1 paper) and Statistical Methods and Bayesian Inference (1 paper). The work is most often cited by research in Statistics and Probability (66 citations), Management Science and Operations Research (99 citations), Nature and Landscape Conservation (82 citations), Water Science and Technology (88 citations) and Soil Science (56 citations). Don Miller has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Daniel Williams, Nitham Hindi, Khaled A. Alshare, Elizabeth E. Grandón, George C. Canavos, Ann Robertson, Charles H. Smith, Scott Finlay, Agurtzane Urtizberea and Cóilín Minto. Their work appears in journals such as International Journal of Forecasting, The American Statistician, Journal of the Association for Information Systems, Information Processing & Management 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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