W. J. Kammerer

428 total citations
11 papers, 278 citations indexed

About

W. J. Kammerer is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Mathematical Physics. According to data from OpenAlex, W. J. Kammerer has authored 11 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Numerical Analysis, 6 papers in Computational Theory and Mathematics and 4 papers in Mathematical Physics. Recurrent topics in W. J. Kammerer's work include Matrix Theory and Algorithms (6 papers), Iterative Methods for Nonlinear Equations (4 papers) and Numerical methods in inverse problems (3 papers). W. J. Kammerer is often cited by papers focused on Matrix Theory and Algorithms (6 papers), Iterative Methods for Nonlinear Equations (4 papers) and Numerical methods in inverse problems (3 papers). W. J. Kammerer collaborates with scholars based in United States. W. J. Kammerer's co-authors include M. Zuhair Nashed, G. W. Reddien, R. S. Varga and Robert J. Plemmons and has published in prestigious journals such as Mathematics of Computation, SIAM Journal on Numerical Analysis and Journal of Mathematical Analysis and Applications.

In The Last Decade

W. J. Kammerer

9 papers receiving 217 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
W. J. Kammerer United States	8	110	109	99	82	58	11	278
Richard B. Barrar United States	10	72 0.7×	63 0.6×	60 0.6×	62 0.8×	69 1.2×	43	327
David Louvish	2	101 0.9×	154 1.4×	115 1.2×	58 0.7×	144 2.5×	4	352
A. Libin United States	4	101 0.9×	153 1.4×	116 1.2×	76 0.9×	148 2.6×	6	381
Jean Descloux Switzerland	9	89 0.8×	193 1.8×	67 0.7×	191 2.3×	44 0.8×	18	323
Wilhelm Werner Germany	9	233 2.1×	161 1.5×	26 0.3×	145 1.8×	70 1.2×	14	422
J. Barros-Neto United States	7	77 0.7×	175 1.6×	180 1.8×	81 1.0×	259 4.5×	23	485
W. L. Perry United States	8	107 1.0×	84 0.8×	69 0.7×	19 0.2×	194 3.3×	20	368
John Locker United States	13	131 1.2×	250 2.3×	283 2.9×	55 0.7×	212 3.7×	39	491
A. Sharma Canada	13	210 1.9×	81 0.7×	38 0.4×	265 3.2×	249 4.3×	85	560
Ralph Alexander United States	12	115 1.0×	58 0.5×	80 0.8×	29 0.4×	157 2.7×	29	392

Countries citing papers authored by W. J. Kammerer

Since Specialization

Citations

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

Fields of papers citing papers by W. J. Kammerer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. J. Kammerer. 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 W. J. Kammerer. The network helps show where W. J. Kammerer may publish in the future.

Co-authorship network of co-authors of W. J. Kammerer

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Kammerer, W. J. & Robert J. Plemmons. (1975). Direct iterative methods for least-squares solutions to singular operator equations. Journal of Mathematical Analysis and Applications. 49(2). 512–526. 14 indexed citations

2.

Kammerer, W. J., G. W. Reddien, & R. S. Varga. (1974). Quandratic interpolatory splines. Numerische Mathematik. 22(4). 241–259. 62 indexed citations

3.

Kammerer, W. J. & M. Zuhair Nashed. (1972). Iterative methods for best approximate solutions of linear integral equations of the first and second kinds. Journal of Mathematical Analysis and Applications. 40(3). 547–573. 47 indexed citations

4.

Kammerer, W. J. & R. S. Varga. (1972). On asymptotically best norms for powers of operators. Numerische Mathematik. 20(2). 93–98. 1 indexed citations

5.

Kammerer, W. J. & G. W. Reddien. (1972). Local Convergence of Smooth Cubic Spline Interpolates. SIAM Journal on Numerical Analysis. 9(4). 687–694. 8 indexed citations

6.

Kammerer, W. J. & M. Zuhair Nashed. (1972). On the Convergence of the Conjugate Gradient Method for Singular Linear Operator Equations. SIAM Journal on Numerical Analysis. 9(1). 165–181. 88 indexed citations

7.

Kammerer, W. J. & M. Zuhair Nashed. (1971). Steepest descent for singular linear operators with nonclosed range. Applicable Analysis. 1(2). 143–159. 19 indexed citations

8.

Kammerer, W. J., et al.. (1968). A class of linear transformations which can be written as the product of projections. Proceedings of the American Mathematical Society. 19(3). 739–745. 7 indexed citations

9.

Kammerer, W. J., et al.. (1964). On contractive mappings in uniform spaces. Proceedings of the American Mathematical Society. 15(2). 288–290. 10 indexed citations

10.

Kammerer, W. J.. (1961). Polynomial approximations to finitely oscillating functions. Mathematics of Computation. 15(74). 115–119. 16 indexed citations

11.

Kammerer, W. J.. (1961). Polynomial Approximations to Finitely Oscillating Functions. Mathematics of Computation. 15(74). 115–115. 6 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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