B. S. Garbow

4.3k total citations · 2 hit papers
23 papers, 2.7k citations indexed

About

B. S. Garbow is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Computational Mechanics. According to data from OpenAlex, B. S. Garbow has authored 23 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computational Theory and Mathematics, 8 papers in Numerical Analysis and 2 papers in Computational Mechanics. Recurrent topics in B. S. Garbow's work include Matrix Theory and Algorithms (11 papers), Advanced Optimization Algorithms Research (7 papers) and Iterative Methods for Nonlinear Equations (3 papers). B. S. Garbow is often cited by papers focused on Matrix Theory and Algorithms (11 papers), Advanced Optimization Algorithms Research (7 papers) and Iterative Methods for Nonlinear Equations (3 papers). B. S. Garbow collaborates with scholars based in United States and Italy. B. S. Garbow's co-authors include Jorge J. Morè, K. E. Hillstrom, Jack Dongarra, Yasuhiko Ikebe, Brian T. Smith, Virginia Klema, Thomas Aird, Thomas F. Coleman, J. N. Lyness and Giulio Giunta and has published in prestigious journals such as Mathematics of Computation, Computer Physics Communications and ACM Transactions on Mathematical Software.

In The Last Decade

B. S. Garbow

23 papers receiving 2.4k citations

Hit Papers

Testing Unconstrained Optimization Software 1976 2026 1992 2009 1981 1976 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
B. S. Garbow United States 13 1.2k 1.2k 515 307 267 23 2.7k
E. W. Cheney United States 22 1.0k 0.8× 985 0.9× 589 1.1× 231 0.8× 209 0.8× 60 3.1k
James M. Ortega United States 23 955 0.8× 1.4k 1.2× 706 1.4× 202 0.7× 215 0.8× 57 2.9k
Klaus Ritter Germany 21 874 0.7× 735 0.6× 385 0.7× 136 0.4× 218 0.8× 95 2.3k
Kurt Georg United States 16 977 0.8× 1.0k 0.9× 699 1.4× 161 0.5× 491 1.8× 31 3.1k
M. R. Osborne Australia 26 767 0.6× 669 0.6× 849 1.6× 414 1.3× 465 1.7× 126 3.5k
Trond Steihaug Norway 12 1.4k 1.1× 1.3k 1.1× 789 1.5× 177 0.6× 191 0.7× 61 2.4k
Eugene L. Allgower United States 20 1.1k 0.9× 1.2k 1.0× 874 1.7× 164 0.5× 512 1.9× 49 3.4k
G. W. Stewart United States 14 574 0.5× 843 0.7× 382 0.7× 326 1.1× 370 1.4× 39 2.2k
Guido Weiss United States 30 789 0.6× 1.1k 1.0× 689 1.3× 146 0.5× 318 1.2× 67 11.1k
T. J. Rivlin United States 23 1.6k 1.3× 1.4k 1.2× 870 1.7× 442 1.4× 323 1.2× 71 5.3k

Countries citing papers authored by B. S. Garbow

Since Specialization
Citations

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

Fields of papers citing papers by B. S. Garbow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B. S. Garbow. 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 B. S. Garbow. The network helps show where B. S. Garbow may publish in the future.

Co-authorship network of co-authors of B. S. Garbow

This figure shows the co-authorship network connecting the top 25 collaborators of B. S. Garbow. A scholar is included among the top collaborators of B. S. Garbow 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 B. S. Garbow. B. S. Garbow 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.
Garbow, B. S. & J. N. Lyness. (1990). Remark on algorithm 662. ACM Transactions on Mathematical Software. 16(4). 405–406. 1 indexed citations
2.
Garbow, B. S., Giulio Giunta, J. N. Lyness, & A. Murli. (1988). Software for an implementation of Weeks' method for the inverse Laplace transform. ACM Transactions on Mathematical Software. 14(2). 163–170. 50 indexed citations
3.
Garbow, B. S., et al.. (1987). User's guide to Toolpack/1 (Release 2) in a Unix environment. University of North Texas Digital Library (University of North Texas). 2 indexed citations
4.
Coleman, Thomas F., B. S. Garbow, & Jorge J. Morè. (1985). Software for estimating sparse Hessian matrices. ACM Transactions on Mathematical Software. 11(4). 363–377. 30 indexed citations
5.
Garbow, B. S.. (1984). Remark on “Algorithm 535: The QZ Algorithm to Solve the Generalized Eigenvalue Problem for Complex Matrices [F2]”. ACM Transactions on Mathematical Software. 10(4). 476–476. 2 indexed citations
6.
Coleman, Thomas F., B. S. Garbow, & Jorge J. Morè. (1984). Algorithm 618: FORTRAN subroutines for estimating sparse Jacobian Matrices. ACM Transactions on Mathematical Software. 10(3). 346–347. 18 indexed citations
7.
Coleman, Thomas F., B. S. Garbow, & Jorge J. Morè. (1984). Software for estimating sparse Jacobian matrices. ACM Transactions on Mathematical Software. 10(3). 329–345. 75 indexed citations
8.
Garbow, B. S., et al.. (1983). A Numerical Method for Solving Inverse Real Symmetric Eigenvalue Problems. SIAM Journal on Scientific and Statistical Computing. 4(1). 45–51. 8 indexed citations
9.
Garbow, B. S.. (1982). Remark on “Algorithm 535: The QZ Algorithm to Solve the Generalized Eigenvalue Problem”. ACM Transactions on Mathematical Software. 8(4). 402–402. 2 indexed citations
10.
Morè, Jorge J., B. S. Garbow, & K. E. Hillstrom. (1981). Algorithm 566: FORTRAN Subroutines for Testing Unconstrained Optimization Software [C5], [E4]. ACM Transactions on Mathematical Software. 7(1). 136–140. 32 indexed citations
11.
Morè, Jorge J., B. S. Garbow, & K. E. Hillstrom. (1981). Testing Unconstrained Optimization Software. ACM Transactions on Mathematical Software. 7(1). 17–41. 1133 indexed citations breakdown →
12.
Garbow, B. S., et al.. (1980). LCLSQ: An Implementation of an Algorithm for Linearly Constrained Linear Least-Squares Problems. University of North Texas Digital Library (University of North Texas). 4 indexed citations
13.
Morè, Jorge J., B. S. Garbow, & K. E. Hillstrom. (1980). User Guide for Minpack-1. University of North Texas Digital Library (University of North Texas). 396 indexed citations
14.
Garbow, B. S., K. E. Hillstrom, & Jorge J. Morè. (1980). Implementation guide for MINPACK-1. University of North Texas Digital Library (University of North Texas). 8 indexed citations
15.
Garbow, B. S.. (1978). Algorithm 535: The QZ algorithm to solve the generalized eigenvalue problem for complex matrices [F2]. ACM Transactions on Mathematical Software. 4(4). 404–410. 27 indexed citations
16.
Garbow, B. S., et al.. (1977). Matrix Eigensystem Routines — EISPACK Guide Extension. Lecture notes in computer science. 359 indexed citations
17.
Smith, Brian T., Jack Dongarra, B. S. Garbow, et al.. (1976). Matrix Eigensystem Routines - EISPACK Guide, Second Edition. Research Explorer (The University of Manchester). 36 indexed citations
18.
Aird, Thomas, et al.. (1976). Matrix Eigensystem Routines--EISPACK Guide. Mathematics of Computation. 30(133). 188–188. 482 indexed citations breakdown →
19.
Garbow, B. S.. (1974). EISPACK — A package of matrix eigensystem routines. Computer Physics Communications. 7(4). 179–184. 24 indexed citations
20.
Cody, William J., et al.. (1972). NATS a collaborative effort to certify and disseminate mathematical software. 2. 630–635. 8 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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