Norbert Gaffke

830 total citations
40 papers, 481 citations indexed

About

Norbert Gaffke is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Numerical Analysis. According to data from OpenAlex, Norbert Gaffke has authored 40 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Management Science and Operations Research, 21 papers in Computational Theory and Mathematics and 6 papers in Numerical Analysis. Recurrent topics in Norbert Gaffke's work include Optimal Experimental Design Methods (27 papers), Advanced Multi-Objective Optimization Algorithms (17 papers) and Manufacturing Process and Optimization (5 papers). Norbert Gaffke is often cited by papers focused on Optimal Experimental Design Methods (27 papers), Advanced Multi-Objective Optimization Algorithms (17 papers) and Manufacturing Process and Optimization (5 papers). Norbert Gaffke collaborates with scholars based in Germany, United States and India. Norbert Gaffke's co-authors include Rudolf Mathar, Berthold Heiligers, Friedrich Pukelsheim, Rainer Schwabe, Norman R. Draper, Markus Abt, Bikas K. Sinha, Erkki P. Liski, Ludger Rüschendorf and Albrecht Bertram and has published in prestigious journals such as Journal of the Royal Statistical Society Series B (Statistical Methodology), The Annals of Statistics and Computational Statistics & Data Analysis.

In The Last Decade

Norbert Gaffke

40 papers receiving 421 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Norbert Gaffke Germany	14	275	215	125	82	70	40	481
Václav Fabian United States	12	280 1.0×	114 0.5×	311 2.5×	106 1.3×	48 0.7×	37	808
Chien-Fu Wu United States	12	358 1.3×	182 0.8×	442 3.5×	115 1.4×	17 0.2×	18	840
Josef Nedoma Czechia	6	86 0.3×	238 1.1×	41 0.3×	40 0.5×	129 1.8×	12	497
Elisabeth Köbis Germany	12	273 1.0×	427 2.0×	156 1.2×	41 0.5×	184 2.6×	27	538
B. Bank India	7	133 0.5×	495 2.3×	42 0.3×	16 0.2×	336 4.8×	12	743
J. L. Menaldi United States	15	129 0.5×	285 1.3×	40 0.3×	21 0.3×	57 0.8×	57	888
J. Guddat Germany	9	155 0.6×	560 2.6×	45 0.4×	21 0.3×	476 6.8×	26	880
Andreas Löhne Germany	14	143 0.5×	363 1.7×	112 0.9×	17 0.2×	298 4.3×	34	508
Nilotpal Chakravarti India	9	51 0.2×	79 0.4×	78 0.6×	22 0.3×	54 0.8×	16	381
Felisa J. Vázquez-Abad Canada	14	173 0.6×	55 0.3×	94 0.8×	30 0.4×	26 0.4×	57	449

Countries citing papers authored by Norbert Gaffke

Since Specialization

Citations

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

Fields of papers citing papers by Norbert Gaffke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Norbert Gaffke

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

All Works

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20 of 20 papers shown

Gaffke, Norbert, et al.. (2023). A p-step-ahead sequential adaptive algorithm for D-optimal nonlinear regression design. Statistical Papers. 65(5). 2811–2834. 1 indexed citations

Gaffke, Norbert, et al.. (2021). Convergence of least squares estimators in the adaptive Wynn algorithm for some classes of nonlinear regression models. Metrika. 84(6). 851–874. 2 indexed citations

Gaffke, Norbert, et al.. (2019). Locally optimal designs for gamma models. Journal of Statistical Planning and Inference. 203. 199–214. 6 indexed citations

Gaffke, Norbert & Rainer Schwabe. (2018). Quasi-Newton algorithm for optimal approximate linear regression design: Optimization in matrix space. Journal of Statistical Planning and Inference. 198. 62–78. 5 indexed citations

Gaffke, Norbert, et al.. (2015). Optimal design for multivariate observations in seemingly unrelated linear models. Journal of Multivariate Analysis. 142. 48–56. 5 indexed citations

Gaffke, Norbert, et al.. (2002). Isotropic discrete orientation distributions on the 3D special orthogonal group. Linear Algebra and its Applications. 354(1-3). 119–139. 1 indexed citations

Gaffke, Norbert, et al.. (1999). A class of extremum problems related to agency models with imperfect monitoring. Mathematical Methods of Operations Research. 50(1). 101–120. 2 indexed citations

Gaffke, Norbert, Rolf Steyer, & Alina A. von Davier. (1999). ON THE ASYMPTOTIC NULL-DISTRIBUTION OF THE WALD STATISTIC AT SINGULAR PARAMETER POINTS. Statistics & Risk Modeling. 17(4). 5 indexed citations

Abt, Markus, Norbert Gaffke, Erkki P. Liski, & Bikas K. Sinha. (1998). Optimal designs in growth curve models — II Correlated model for quadratic growth: optimal designs for parameter estimation and growth prediction. Journal of Statistical Planning and Inference. 67(2). 287–296. 14 indexed citations

10.

Gaffke, Norbert & Berthold Heiligers. (1998). Minimum support invariant designs for multiple cubic regression. Journal of Statistical Planning and Inference. 72(1-2). 229–245. 4 indexed citations

11.

Gaffke, Norbert & Berthold Heiligers. (1996). Second order methods for solving extremum problems form optimal linar regression design. Optimization. 36(1). 41–57. 4 indexed citations

12.

Gaffke, Norbert & Rudolf Mathar. (1992). On a class of algorithms from experimental design theory. Optimization. 24(1-2). 91–126. 20 indexed citations

13.

Draper, Norman R., Norbert Gaffke, & Friedrich Pukelsheim. (1991). First and second order rotatability of experimental designs, moment matrices, and information surfaces. Metrika. 38(1). 129–161. 14 indexed citations

14.

Gaffke, Norbert & Berthold Heiligers. (1991). Note on a paper. Statistics. 22(1). 3–8. 5 indexed citations

15.

Gaffke, Norbert & Berthold Heiligers. (1989). Bayes, Admissible, and Minimax Linear Estimators in Linear Models with Restricted Parameter Space. Statistics. 20(4). 487–508. 27 indexed citations

16.

Gaffke, Norbert. (1987). Further Characterizations of Design Optimality and Admissibility for Partial Parameter Estimation in Linear Regression. The Annals of Statistics. 15(3). 28 indexed citations

17.

Gaffke, Norbert. (1986). On D-optimality of exact linear regression designs with minimum support. Journal of Statistical Planning and Inference. 15. 189–204. 28 indexed citations

18.

Gaffke, Norbert. (1985). Directional derivatives of optimality criteria at singular matrices in convex design theory. Statistics. 16(3). 373–388. 15 indexed citations

19.

Gaffke, Norbert. (1982). D-optimal block designs with at most six varieties. Journal of Statistical Planning and Inference. 6(2). 183–200. 11 indexed citations

20.

Gaffke, Norbert. (1981). Connected graphs with a minimal number of spanning trees. Journal of Combinatorial Theory Series B. 30(2). 166–183. 1 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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