Linda Kaufman

7.8k total citations · 2 hit papers
49 papers, 5.6k citations indexed

About

Linda Kaufman is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Linda Kaufman has authored 49 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computational Theory and Mathematics, 13 papers in Numerical Analysis and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Linda Kaufman's work include Matrix Theory and Algorithms (20 papers), Advanced Optimization Algorithms Research (12 papers) and Medical Imaging Techniques and Applications (9 papers). Linda Kaufman is often cited by papers focused on Matrix Theory and Algorithms (20 papers), Advanced Optimization Algorithms Research (12 papers) and Medical Imaging Techniques and Applications (9 papers). Linda Kaufman collaborates with scholars based in United States, Austria and Denmark. Linda Kaufman's co-authors include Harris Drucker, Christopher J. C. Burges, Alex Smola, Vladimir Vapnik, Y. Vardi, L. A. Shepp, James R. Bunch, William B. Gragg, G. W. Stewart and Arnold Neumaier and has published in prestigious journals such as Journal of the American Statistical Association, The Science of The Total Environment and Mathematics of Computation.

In The Last Decade

Linda Kaufman

46 papers receiving 5.1k citations

Hit Papers

Support Vector Regression Machines 1985 2026 1998 2012 1996 1985 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Linda Kaufman United States 20 975 929 783 662 621 49 5.6k
C. L. Lawson United States 14 955 1.0× 643 0.7× 1.1k 1.4× 799 1.2× 850 1.4× 35 9.2k
Michael T. Heath United States 31 668 0.7× 319 0.3× 1.1k 1.4× 817 1.2× 700 1.1× 96 6.7k
Margaret H. Wright United States 25 598 0.6× 365 0.4× 1.1k 1.4× 558 0.8× 1.3k 2.1× 46 8.5k
Jeffrey C. Lagarias United States 39 1.3k 1.3× 358 0.4× 2.2k 2.8× 1.2k 1.7× 1.2k 1.9× 192 10.8k
Thomas F. Coleman United States 36 774 0.8× 351 0.4× 1.5k 1.9× 602 0.9× 1.1k 1.8× 122 9.2k
Paul E. Wright United States 12 429 0.4× 329 0.4× 275 0.4× 430 0.6× 938 1.5× 45 5.9k
Åke Björck Sweden 31 770 0.8× 193 0.2× 2.2k 2.8× 897 1.4× 1.0k 1.7× 50 7.8k
C. Reinsch Germany 14 491 0.5× 138 0.1× 721 0.9× 574 0.9× 369 0.6× 24 4.9k
Reuven Y. Rubinstein Israel 29 2.3k 2.3× 170 0.2× 1.2k 1.5× 1.1k 1.7× 1.4k 2.2× 69 10.8k
Ming Li China 39 1.2k 1.2× 151 0.2× 682 0.9× 1.1k 1.7× 1.0k 1.6× 450 7.9k

Countries citing papers authored by Linda Kaufman

Since Specialization
Citations

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

Fields of papers citing papers by Linda Kaufman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linda Kaufman

This figure shows the co-authorship network connecting the top 25 collaborators of Linda Kaufman. A scholar is included among the top collaborators of Linda Kaufman 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 Linda Kaufman. Linda Kaufman 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.
Johnson, Natalie M., Guoqing Qian, Li Xu, et al.. (2010). Aflatoxin and PAH exposure biomarkers in a U.S. population with a high incidence of hepatocellular carcinoma. The Science of The Total Environment. 408(23). 6027–6031. 51 indexed citations
2.
Freyberger, A., et al.. (2006). Digital Beam Position Monitor for the Happex Experiment. Proceedings of the 2005 Particle Accelerator Conference. 3841–3843.
3.
Kaufman, Linda. (2000). Band reduction algorithms revisited. ACM Transactions on Mathematical Software. 26(4). 551–567. 16 indexed citations
4.
Drucker, Harris, Christopher J. C. Burges, Linda Kaufman, Alex Smola, & Vladimir Vapnik. (1996). Support Vector Regression Machines. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 9. 155–161. 3109 indexed citations breakdown →
5.
Kaufman, Linda & Arnold Neumaier. (1996). PET regularization by envelope guided conjugate gradients. IEEE Transactions on Medical Imaging. 15(3). 385–389. 33 indexed citations
6.
Kaufman, Linda. (1993). Maximum likelihood, least squares, and penalized least squares for PET. IEEE Transactions on Medical Imaging. 12(2). 200–214. 130 indexed citations
7.
Kaufman, Linda, et al.. (1990). Algorithm 685: a program for solving separable elliptic equations. ACM Transactions on Mathematical Software. 16(4). 325–351. 11 indexed citations
8.
Kaufman, Linda. (1987). The generalized householder transformation and sparse matrices. Linear Algebra and its Applications. 90. 221–234. 8 indexed citations
9.
Dongarra, Jack, Linda Kaufman, & Sven Hammarling. (1986). Squeezing the most out of eigenvalue solvers on high-performance computers. Linear Algebra and its Applications. 77. 113–136. 28 indexed citations
10.
Vardi, Y., L. A. Shepp, & Linda Kaufman. (1985). A Statistical Model for Positron Emission Tomography. Journal of the American Statistical Association. 80(389). 8–20. 554 indexed citations breakdown →
11.
Kaufman, Linda. (1984). Banded Eigenvalue Solvers on Vector Machines. ACM Transactions on Mathematical Software. 10(1). 73–85. 27 indexed citations
12.
Kaufman, Linda. (1983). Matrix Methods for Queuing Problems. SIAM Journal on Scientific and Statistical Computing. 4(3). 525–552. 54 indexed citations
13.
Kaufman, Linda, J.B. Seery, & J. A. Morrison. (1981). Overflow Models forDimension®; PBX Feature Packages. Bell System Technical Journal. 60(5). 661–676. 11 indexed citations
14.
Bunch, James R. & Linda Kaufman. (1980). A computational method for the indefinite quadratic programming problem. Linear Algebra and its Applications. 34. 341–370. 32 indexed citations
15.
Bunch, James R. & Linda Kaufman. (1977). Some Stable Methods for Calculating Inertia and Solving Symmetric Linear Systems. Mathematics of Computation. 31(137). 163–163. 19 indexed citations
16.
Bunch, James R. & Linda Kaufman. (1977). Some stable methods for calculating inertia and solving symmetric linear systems. Mathematics of Computation. 31(137). 163–179. 234 indexed citations
17.
Gragg, William B., et al.. (1976). Reorthogonalization and stable algorithms for updating the Gram-Schmidt 𝑄𝑅 factorization. Mathematics of Computation. 30(136). 772–795. 250 indexed citations
18.
Bunch, James R., Linda Kaufman, & Beresford Ν. Parlett. (1976). Decomposition of a symmetric matrix. Numerische Mathematik. 27(1). 95–109. 66 indexed citations
19.
Kaufman, Linda. (1975). A variable projection method for solving separable nonlinear least squares problems. BIT Numerical Mathematics. 15(1). 49–57. 175 indexed citations
20.
Kaufman, Linda. (1974). The $LZ$-Algorithm to Solve the Generalized Eigenvalue Problem. SIAM Journal on Numerical Analysis. 11(5). 997–1024. 47 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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