Irvin J. Lustig
- Numerical Analysis top 1%
- Computational Theory and Mathematics top 1%
- Control and Systems Engineering top 5%
- Industrial and Manufacturing Engineering top 2%
- Electrical and Electronic Engineering
- Co-authors
- David F. ShannoRoy E. MarstenJean‐François PugetWarren B. PowellTamra CarpenterJohn M. MulveyRobert E. BixbyJohn W Gregory
- Topics
- Advanced Optimization Algorithms Research (15 papers)Optimization and Mathematical Programming (6 papers)Matrix Theory and Algorithms (6 papers)
- Cited by
- Numerical AnalysisComputational Theory and MathematicsIndustrial and Manufacturing Engineering
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Irvin J. Lustig
25 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 92
- Numerical Analysis 659
- Computational Theory and Mathematics 595
- Control and Systems Engineering 282
- Industrial and Manufacturing Engineering 258
- Electrical and Electronic Engineering 190
Countries citing papers authored by Irvin J. Lustig
This map shows the geographic impact of Irvin J. Lustig'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 Irvin J. Lustig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irvin J. Lustig more than expected).
Fields of papers citing papers by Irvin J. Lustig
This network shows the impact of papers produced by Irvin J. Lustig. 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 Irvin J. Lustig. The network helps show where Irvin J. Lustig may publish in the future.
Co-authorship network of co-authors of Irvin J. Lustig
This figure shows the co-authorship network connecting the top 25 collaborators of Irvin J. Lustig. A scholar is included among the top collaborators of Irvin J. Lustig 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 Irvin J. Lustig. Irvin J. Lustig is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 6 | |
| 3 | 81 | |
| 4 | 18 | |
| 5 | 189 | |
| 6 | 1 | |
| 7 | 30 | |
| 8 | 71 | |
| 9 | 15 | |
| 10 | 47 | |
| 11 | 88 | |
| 12 | 202 | |
| 13 | 194 | |
| 14 | 83 | |
| 15 | 4 | |
| 16 | 90 | |
| 17 | 3 | |
| 18 | 13 | |
| 19 | Comparisons of composite simplex algorithms | 2 |
| 20 | A Practical Approach to Karmarkar's Algorithm. | 1 |
About Irvin J. Lustig
Irvin J. Lustig is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Management Science and Operations Research, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (15 papers), Optimization and Mathematical Programming (6 papers) and Matrix Theory and Algorithms (6 papers). The work is most often cited by research in Numerical Analysis (659 citations), Computational Theory and Mathematics (595 citations) and Industrial and Manufacturing Engineering (258 citations). Irvin J. Lustig has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include David F. Shanno, Roy E. Marsten, Jean‐François Puget, Warren B. Powell, Tamra Carpenter, John M. Mulvey, Robert E. Bixby, John W Gregory, Matthew J. Saltzman and Edward Rothberg. Their work appears in journals such as European Journal of Operational Research, Operations Research and Mathematical Programming.
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.