William E. Wecker

864 total citations
25 papers, 588 citations indexed

About

William E. Wecker is a scholar working on Economics and Econometrics, Management Science and Operations Research and Strategy and Management. According to data from OpenAlex, William E. Wecker has authored 25 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Economics and Econometrics, 4 papers in Management Science and Operations Research and 3 papers in Strategy and Management. Recurrent topics in William E. Wecker's work include Statistical and numerical algorithms (3 papers), Monetary Policy and Economic Impact (3 papers) and Complex Systems and Time Series Analysis (3 papers). William E. Wecker is often cited by papers focused on Statistical and numerical algorithms (3 papers), Monetary Policy and Economic Impact (3 papers) and Complex Systems and Time Series Analysis (3 papers). William E. Wecker collaborates with scholars based in United States. William E. Wecker's co-authors include Craig F. Ansley, Thomas E. Morton, Ronald A. Thisted, Raymond R. Reilly, Hubert Deluyker, Robert H. Shumway, Leon D. Weaver, Arash Azari, W. Allen Spivey and Alex F. McCalla and has published in prestigious journals such as Journal of the American Statistical Association, Environmental Science & Technology and Management Science.

In The Last Decade

William E. Wecker

25 papers receiving 527 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William E. Wecker United States 11 146 133 117 114 108 25 588
Guy Mélard Belgium 13 153 1.0× 128 1.0× 94 0.8× 143 1.3× 68 0.6× 51 575
Evdokia Xekalaki Greece 10 122 0.8× 208 1.6× 74 0.6× 112 1.0× 53 0.5× 58 526
Z. A. Łomnicki China 14 52 0.4× 215 1.6× 89 0.8× 51 0.4× 25 0.2× 24 829
Ramón Gutiérrez Jáimez Spain 17 136 0.9× 267 2.0× 127 1.1× 214 1.9× 17 0.2× 82 794
William P. McCormick United States 16 191 1.3× 360 2.7× 188 1.6× 435 3.8× 184 1.7× 70 833
Clifford Lam United Kingdom 11 150 1.0× 248 1.9× 38 0.3× 69 0.6× 36 0.3× 21 568
Raimondo Manca Italy 15 182 1.2× 91 0.7× 176 1.5× 241 2.1× 20 0.2× 74 823
D. A. Hsu United States 12 325 2.2× 228 1.7× 89 0.8× 374 3.3× 113 1.0× 23 792
J. H. Venter South Africa 12 54 0.4× 262 2.0× 141 1.2× 174 1.5× 16 0.1× 38 587
Альберт Николаевич Ширяев France 8 163 1.1× 178 1.3× 193 1.6× 354 3.1× 12 0.1× 29 845

Countries citing papers authored by William E. Wecker

Since Specialization
Citations

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

Fields of papers citing papers by William E. Wecker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William E. Wecker. 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 William E. Wecker. The network helps show where William E. Wecker may publish in the future.

Co-authorship network of co-authors of William E. Wecker

This figure shows the co-authorship network connecting the top 25 collaborators of William E. Wecker. A scholar is included among the top collaborators of William E. Wecker 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 William E. Wecker. William E. Wecker 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
1.
Wecker, William E., et al.. (1998). Correcting for Omitted-Variables and Measurement-Error Bias in Regression with an Application to the Effect of Lead on IQ. Journal of the American Statistical Association. 93(442). 494–505. 10 indexed citations
2.
Wecker, William E., et al.. (1998). Correcting for Omitted-Variables and Measurement-Error Bias in Regression with an Application to the Effect of Lead on IQ. Journal of the American Statistical Association. 93(442). 494–494. 4 indexed citations
3.
Wecker, William E., et al.. (1998). Correcting for Omitted-Variables and Measurement-Error Bias in Regression with an Application to the Effect of Lead on IQ: Rejoinder. Journal of the American Statistical Association. 93(442). 515–515. 1 indexed citations
4.
Wecker, William E.. (1989). Comment: Assessing the Accuracy of Time Series Model Forecasts of Count Observations. Journal of Business and Economic Statistics. 7(4). 418–418. 2 indexed citations
5.
Hamada, Robert S., James M. Patell, Richard Staelin, & William E. Wecker. (1988). The Role of Statistics in Accounting, Marketing, Finance, and Production. Journal of Business and Economic Statistics. 6(2). 261–272. 3 indexed citations
6.
George, Edward I. & William E. Wecker. (1985). Estimating Damages in a Class Action Litigation. Journal of Business and Economic Statistics. 3(2). 132–139. 1 indexed citations
7.
Ansley, Craig F. & William E. Wecker. (1984). On Dips in the Spectrum of a Seasonally Adjusted Time Series. Journal of Business and Economic Statistics. 2(4). 323–324. 2 indexed citations
8.
Ansley, Craig F. & William E. Wecker. (1984). [Issues Involved with the Seasonal Adjustment of Economic Time Series]: Comment: On Dips in the Spectrum of a Seasonally Adjusted Time Series. Journal of Business and Economic Statistics. 2(4). 323–323. 3 indexed citations
9.
Wecker, William E. & Craig F. Ansley. (1983). The Signal Extraction Approach to Nonlinear Regression and Spline Smoothing. Journal of the American Statistical Association. 78(381). 81–89. 201 indexed citations
10.
Wecker, William E. & Craig F. Ansley. (1983). The Signal Extraction Approach to Nonlinear Regression and Spline Smoothing. Journal of the American Statistical Association. 78(381). 81–81. 39 indexed citations
11.
Thisted, Ronald A. & William E. Wecker. (1981). Predicting a Multitude of Time Series. Journal of the American Statistical Association. 76(375). 516–523. 16 indexed citations
12.
Wecker, William E.. (1981). Asymmetric Time Series. Journal of the American Statistical Association. 76(373). 16–21. 43 indexed citations
13.
Thisted, Ronald A. & William E. Wecker. (1981). Predicting a Multitude of Time Series. Journal of the American Statistical Association. 76(375). 516–516. 8 indexed citations
14.
Wecker, William E.. (1979). Predicting the Turning Points of a Time Series. The Journal of Business. 52(1). 35–35. 72 indexed citations
15.
Wecker, William E.. (1978). A note on the time series which is the product of two stationary time series. Stochastic Processes and their Applications. 8(2). 153–157. 15 indexed citations
16.
Wecker, William E.. (1978). Predicting Demand from Sales Data in the Presence of Stockouts. Management Science. 24(10). 1043–1054. 40 indexed citations
17.
Morton, Thomas E. & William E. Wecker. (1977). Discounting, Ergodicity and Convergence for Markov Decision Processes. Management Science. 23(8). 890–900. 42 indexed citations
18.
Reilly, Raymond R. & William E. Wecker. (1975). On the Weighted Average Cost of Capital: Reply. Journal of Financial and Quantitative Analysis. 10(2). 367–367. 1 indexed citations
19.
Reilly, Raymond R. & William E. Wecker. (1973). On the Weighted Average Cost of Capital. Journal of Financial and Quantitative Analysis. 8(1). 123–123. 16 indexed citations
20.
Spivey, W. Allen & William E. Wecker. (1972). REGIONAL ECONOMIC FORECASTING: CONCEPTS AND METHODOLOGY. Papers of the Regional Science Association. 28(1). 257–276. 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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