Roger C. Pfaffenberger

666 total citations
26 papers, 444 citations indexed

About

Roger C. Pfaffenberger is a scholar working on Statistics and Probability, Management Science and Operations Research and Finance. According to data from OpenAlex, Roger C. Pfaffenberger has authored 26 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Statistics and Probability, 7 papers in Management Science and Operations Research and 5 papers in Finance. Recurrent topics in Roger C. Pfaffenberger's work include Advanced Statistical Methods and Models (10 papers), Statistical Methods and Inference (6 papers) and Financial Risk and Volatility Modeling (4 papers). Roger C. Pfaffenberger is often cited by papers focused on Advanced Statistical Methods and Models (10 papers), Statistical Methods and Inference (6 papers) and Financial Risk and Volatility Modeling (4 papers). Roger C. Pfaffenberger collaborates with scholars based in United States. Roger C. Pfaffenberger's co-authors include T. E. Dielman, J. Herbert Patterson, R. Burr Porter, William E. Stein, Cynthia A. Lowry, H. O. Hartley, David Walker, Anthony A. Salvia, Dan W. French and Ronald Dattero and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrics.

In The Last Decade

Roger C. Pfaffenberger

26 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roger C. Pfaffenberger United States 13 159 136 97 74 40 26 444
Douglas M. Dunn Canada 7 41 0.3× 197 1.4× 121 1.2× 52 0.7× 36 0.9× 10 462
Walter Oberhofer Germany 9 121 0.8× 51 0.4× 164 1.7× 39 0.5× 21 0.5× 25 414
Potluri Rao United States 10 88 0.6× 58 0.4× 152 1.6× 44 0.6× 35 0.9× 19 381
Hiroki Tsurumi United States 13 112 0.7× 43 0.3× 177 1.8× 89 1.2× 45 1.1× 49 425
Gregory Gurevich Israel 9 139 0.9× 63 0.5× 67 0.7× 66 0.9× 35 0.9× 41 310
Kenneth D. Lawrence United States 10 63 0.4× 147 1.1× 42 0.4× 22 0.3× 29 0.7× 48 391
Nagesh S. Revankar United States 14 214 1.3× 85 0.6× 334 3.4× 70 0.9× 27 0.7× 23 650
Nor Aishah Hamzah Malaysia 9 130 0.8× 73 0.5× 71 0.7× 52 0.7× 32 0.8× 23 320
W. Allen Spivey United States 9 41 0.3× 88 0.6× 92 0.9× 30 0.4× 24 0.6× 34 250
Shinji Kataoka Japan 4 92 0.6× 208 1.5× 88 0.9× 70 0.9× 17 0.4× 6 438

Countries citing papers authored by Roger C. Pfaffenberger

Since Specialization
Citations

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

Fields of papers citing papers by Roger C. Pfaffenberger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roger C. Pfaffenberger. 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 Roger C. Pfaffenberger. The network helps show where Roger C. Pfaffenberger may publish in the future.

Co-authorship network of co-authors of Roger C. Pfaffenberger

This figure shows the co-authorship network connecting the top 25 collaborators of Roger C. Pfaffenberger. A scholar is included among the top collaborators of Roger C. Pfaffenberger 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 Roger C. Pfaffenberger. Roger C. Pfaffenberger 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.
Stein, William E., et al.. (1994). A stochastic dominance analysis of ranked voting systems with scoring. European Journal of Operational Research. 74(1). 78–85. 33 indexed citations
2.
Dielman, T. E. & Roger C. Pfaffenberger. (1992). A further comparison of tests of hypotheses in LAV regression. Computational Statistics & Data Analysis. 14(3). 375–384. 16 indexed citations
3.
Dielman, T. E. & Roger C. Pfaffenberger. (1990). Tests of Linear Hypotheses and Lav Estimation: A Monte Carlo Comparison. Communications in Statistics - Simulation and Computation. 19(4). 1179–1199. 17 indexed citations
4.
Dielman, T. E. & Roger C. Pfaffenberger. (1989). Efficiency of Ordinary Least Squares for Linear Models with Autocorrelation. Journal of the American Statistical Association. 84(405). 248–248. 10 indexed citations
5.
Dielman, T. E. & Roger C. Pfaffenberger. (1989). Small sample properties of estimators in the autocorrelated error model: a review and some additional simulations. Statistical Papers. 30(1). 163–183. 4 indexed citations
6.
Salvia, Anthony A., Roger C. Pfaffenberger, & J. Herbert Patterson. (1989). Statistical Methods for Business and Economics. Technometrics. 31(2). 261–261. 15 indexed citations
7.
Dielman, T. E. & Roger C. Pfaffenberger. (1989). Efficiency of Ordinary Least Squares for Linear Models with Autocorrelation. Journal of the American Statistical Association. 84(405). 248–248. 2 indexed citations
8.
Dielman, T. E. & Roger C. Pfaffenberger. (1988). Least Absolute Value Regression: Necessary Sample Sizes to Use Normal Theory Inference Procedures*. Decision Sciences. 19(4). 734–743. 14 indexed citations
9.
Stein, William E., Roger C. Pfaffenberger, & Dan W. French. (1987). SAMPLING ERROR IN FIRST ORDER STOCHASTIC DOMINANCE. The Journal of Financial Research. 10(3). 259–268. 12 indexed citations
10.
Dielman, T. E. & Roger C. Pfaffenberger. (1984). Computational Algorithms for Calculating Least Absolute Value and Chebyshev Estimates for Multiple Regression. American Journal of Mathematical and Management Sciences. 4(1-2). 169–197. 16 indexed citations
11.
Stein, William E., Ronald Dattero, & Roger C. Pfaffenberger. (1984). Inequalities involving the lifetime of series and parallel systems. Naval Research Logistics Quarterly. 31(4). 647–651. 5 indexed citations
12.
Stein, William E., et al.. (1983). On the Estimation Risk in First-Order Stochastic Dominance: A Note. Journal of Financial and Quantitative Analysis. 18(4). 471–471. 3 indexed citations
13.
Pfaffenberger, Roger C.. (1981). Statistical methods for business and economics / Roger C. Pfaffenberger, James H. Patterson. 1981(1981). 1–99. 4 indexed citations
14.
Pfaffenberger, Roger C., et al.. (1981). Constrained l1 estimation via geometric programming. European Journal of Operational Research. 7(3). 299–305. 1 indexed citations
15.
Pfaffenberger, Roger C., et al.. (1978). Statistical Methods: For Business and Economics.. Journal of the American Statistical Association. 73(361). 226–226. 23 indexed citations
16.
Pfaffenberger, Roger C., et al.. (1978). Statistical Methods for Business and Economics.. Journal of the Royal Statistical Society Series C (Applied Statistics). 27(1). 90–90. 81 indexed citations
17.
Porter, R. Burr & Roger C. Pfaffenberger. (1975). Efficient Algorithms for Conducting Stochastic Dominance Tests on Large Numbers of Portfolios: Reply. Journal of Financial and Quantitative Analysis. 10(1). 181–181. 61 indexed citations
18.
Pfaffenberger, Roger C. & David Walker. (1975). Mathematical Programming for Economics and Business. 17 indexed citations
19.
Hartley, H. O. & Roger C. Pfaffenberger. (1972). Quadratic forms in order statistics used as goodness-of-fit criteria. Biometrika. 59(3). 605–611. 17 indexed citations
20.
Pfaffenberger, Roger C., et al.. (1970). Selection Index Estimation from Partial Multivariate Normal Data. Biometrics. 26(4). 625–625. 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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