Don Miller

763 total citations
15 papers, 580 citations indexed

About

Don Miller is a scholar working on Management Science and Operations Research, Statistics and Probability and General Economics, Econometrics and Finance. According to data from OpenAlex, Don Miller has authored 15 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Management Science and Operations Research, 4 papers in Statistics and Probability and 3 papers in General Economics, Econometrics and Finance. Recurrent topics in Don Miller's work include Forecasting Techniques and Applications (4 papers), Monetary Policy and Economic Impact (3 papers) and Statistics Education and Methodologies (2 papers). Don Miller is often cited by papers focused on Forecasting Techniques and Applications (4 papers), Monetary Policy and Economic Impact (3 papers) and Statistics Education and Methodologies (2 papers). Don Miller collaborates with scholars based in United States, Australia and France. Don Miller's co-authors include Daniel Williams, Nitham Hindi, Khaled A. Alshare, Elizabeth E. Grandón, George C. Canavos, Charles H. Smith, Ann Robertson, Scott Finlay, Simon Fischer and Agurtzane Urtizberea and has published in prestigious journals such as Journal of the Association for Information Systems, The American Statistician and International Journal of Forecasting.

In The Last Decade

Don Miller

13 papers receiving 476 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Don Miller United States	9	103	99	96	88	82	15	580
N. Ross Lambie Australia	15	57 0.6×	34 0.3×	197 2.1×	49 0.6×	24 0.3×	106	745
J. N. R. Jeffers United Kingdom	5	79 0.8×	32 0.3×	77 0.8×	27 0.3×	50 0.6×	10	469
Bradley S. Price United States	10	84 0.8×	25 0.3×	72 0.8×	13 0.1×	49 0.6×	40	756
Weiwen Miao United States	8	27 0.3×	39 0.4×	38 0.4×	18 0.2×	15 0.2×	29	621
José Garcı́a Pérez Spain	11	58 0.6×	123 1.2×	109 1.1×	18 0.2×	26 0.3×	56	739
Weixing Wu China	16	133 1.3×	29 0.3×	178 1.9×	31 0.4×	64 0.8×	75	893
Geoff McDonald Australia	11	66 0.6×	59 0.6×	240 2.5×	27 0.3×	35 0.4×	19	717
Quirino Paris United States	14	45 0.4×	92 0.9×	68 0.7×	70 0.8×	9 0.1×	66	854
Eithan Hochman Israel	14	23 0.2×	116 1.2×	71 0.7×	68 0.8×	11 0.1×	36	623
Duane F. Marble United States	17	57 0.6×	27 0.3×	120 1.3×	21 0.2×	20 0.2×	52	896

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-authorship network of co-authors of Don Miller

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

All Works

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15 of 15 papers shown

Finlay, Scott, Simon Fischer, Leire Ibaibarriaga, et al.. (2017). Assessment for All initiative(a4a) - Workshop on development of MSE algorithms with R/FLR/a4a. Joint Research Centre (European Commission). 1 indexed citations

Alshare, Khaled A., Elizabeth E. Grandón, & Don Miller. (2004). Antecedents of computer technology usage: considerations of the technology acceptance model in the academic environment. Journal of computing sciences in colleges. 19(4). 164–180. 35 indexed citations

Miller, Don & Daniel Williams. (2004). Damping seasonal factors: Shrinkage estimators for the X-12-ARIMA program. International Journal of Forecasting. 20(4). 529–549. 38 indexed citations

Hindi, Nitham, et al.. (2002). Computer Literacy: Implications for Teaching a College-Level Course.. Journal of the Association for Information Systems. 13(2). 143–152. 22 indexed citations

Miller, Don & Daniel Williams. (2002). Shrinkage estimators of time series seasonal factors and their effect on forecasting accuracy. International Journal of Forecasting. 19(4). 669–684. 46 indexed citations

Hindi, Nitham & Don Miller. (2000). A Survey of Assessment Practices in Accounting Departments of Colleges and Universities. Journal of Education for Business. 75(5). 286–290. 21 indexed citations

Williams, Daniel & Don Miller. (1999). Level-adjusted exponential smoothing for modeling planned discontinuities. International Journal of Forecasting. 15(3). 273–289. 20 indexed citations

Miller, Don, et al.. (1996). Non-Confidential Arbitration Proceedings. Arbitration International. 12(3). 319–346. 1 indexed citations

Canavos, George C., et al.. (1995). Modern Business Statistics. The American Statistician. 49(4). 397–397. 6 indexed citations

10.

Canavos, George C. & Don Miller. (1993). An introduction to modern business statistics. Medical Entomology and Zoology. 7 indexed citations

11.

Smith, Charles H., Don Miller, & Ann Robertson. (1992). Using writing assignments in teaching statistics: an empirical study. Mathematics and computer education. 26(1). 21–34. 13 indexed citations

12.

Miller, Don. (1985). The anatomy of a successful forecasting implementation. International Journal of Forecasting. 1(1). 69–78. 8 indexed citations

13.

Miller, Don. (1984). Reducing Transformation Bias in Curve Fitting. The American Statistician. 38(2). 124–124. 91 indexed citations

14.

Miller, Don. (1984). Reducing Transformation Bias in Curve Fitting. The American Statistician. 38(2). 124–126. 266 indexed citations

15.

Miller, Don, et al.. (1982). Methods for estimating the number of relevant documents in a collection. Information Processing & Management. 18(4). 179–191. 5 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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