James R. Bunch
Impact in
- Numerical Analysis top 0.5%
- Advanced Optimization Algorithms Research
- Numerical methods for differential equations
- Computational Theory and Mathematics top 0.1%
- Matrix Theory and Algorithms
- Numerical Methods and Algorithms
Papers in
-
- Advanced Optimization Algorithms Research 9
- Numerical methods for differential equations 3
- Co-authors
- Jack DongarraC MolerG. W. StewartLinda KaufmanBeresford Ν. ParlettDanny C. SorensenVirginia KlemaJohn E. Hopcroft
- Journals
- Mathematics of Computation (9 papers)Linear Algebra and its Applications (5 papers)SIAM Journal on Numerical Analysis (4 papers)Numerische Mathematik (3 papers)Numerical Linear Algebra with Applications (3 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
James R. Bunch
39 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Numerical Analysis 919
- Computational Theory and Mathematics 1.8k
- Computational Mathematics 65
- Hardware and Architecture 397
- Applied Mathematics 397
Countries citing papers authored by James R. Bunch
This map shows the geographic impact of James R. Bunch'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 James R. Bunch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James R. Bunch more than expected).
Fields of papers citing papers by James R. Bunch
This network shows the impact of papers produced by James R. Bunch. 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 James R. Bunch. The network helps show where James R. Bunch may publish in the future.
Co-authors
The 16 scholars most cited alongside James R. Bunch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 3 | |
| 2 | Measuring and maintaining consistency: a hybrid FTF algorithm | 2001 | 3 |
| 3 | 2001 | 5 | |
| 4 | 1996 | 17 | |
| 5 | 1995 | 6 | |
| 6 | 1992 | 12 | |
| 7 | 1987 | 96 | |
| 8 | 1982 | 2 | |
| 9 | 1980 | 32 | |
| 10 | LINPACK User's Guide. Hit paper breakdown → | 1980 | 499 |
| 11 | 1978 | 210 | |
| 12 | 1977 | 19 | |
| 13 | 1977 | 234 | |
| 14 | 1977 | 59 | |
| 15 | 1976 | 66 | |
| 16 | 1974 | 154 | |
| 17 | 1974 | 36 | |
| 18 | 1974 | 42 | |
| 19 | 1974 | 40 | |
| 20 | 1971 | 18 |
About James R. Bunch
James R. Bunch is a scholar working on Computational Mathematics, Numerical Analysis, Computational Theory and Mathematics, Applied Mathematics and Signal Processing, having authored 40 papers that have together received 4.0k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (17 papers), Advanced Optimization Algorithms Research (9 papers), Statistical and numerical algorithms (7 papers), Digital Filter Design and Implementation (5 papers), Advanced Adaptive Filtering Techniques (5 papers), graph theory and CDMA systems (4 papers), Control Systems and Identification (3 papers) and Numerical methods for differential equations (3 papers). The work is most often cited by research in Numerical Analysis (919 citations), Computational Theory and Mathematics (1.8k citations), Computational Mathematics (65 citations), Hardware and Architecture (397 citations) and Applied Mathematics (397 citations). James R. Bunch has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Jack Dongarra, C Moler, G. W. Stewart, Linda Kaufman, Beresford Ν. Parlett, Danny C. Sorensen, Virginia Klema, John E. Hopcroft, D. Karney and Robert T. Gregory. Their work appears in journals such as Mathematics of Computation, Linear Algebra and its Applications, SIAM Journal on Numerical Analysis, Numerische Mathematik and Numerical Linear Algebra with Applications.
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.