Michael J. Todd
- Numerical Analysis top 0.05%
- Computational Theory and Mathematics top 0.05%
- Control and Systems Engineering top 0.5%
- Computational Mechanics top 0.5%
- Electrical and Electronic Engineering top 5%
- Co-authors
- Kim-Chuan TohReha TütüncüYu. E. NesterovYinyu YeDonald GoldfarbShinji MizunoRobert G. BlandJ. S. Marron
- Topics
- Advanced Optimization Algorithms Research (96 papers)Optimization and Variational Analysis (31 papers)Matrix Theory and Algorithms (28 papers)
- Journals
- Journal of the American Statistical AssociationEuropean Journal of Operational ResearchOperations Research
- Partner nations
- United StatesUnited KingdomSingapore
In The Last Decade
Michael J. Todd
131 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Numerical Analysis 3.4k
- Computational Theory and Mathematics 3.2k
- Control and Systems Engineering 1.6k
- Computational Mechanics 1.5k
- Electrical and Electronic Engineering 874
Countries citing papers authored by Michael J. Todd
This map shows the geographic impact of Michael J. Todd'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 Michael J. Todd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J. Todd more than expected).
Fields of papers citing papers by Michael J. Todd
This network shows the impact of papers produced by Michael J. Todd. 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 Michael J. Todd. The network helps show where Michael J. Todd may publish in the future.
Co-authorship network of co-authors of Michael J. Todd
This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Todd. A scholar is included among the top collaborators of Michael J. Todd 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 Michael J. Todd. Michael J. Todd is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 137 | |
| 3 | 3 | |
| 4 | Probabilistic analysis of two complexity measures for linear programming problems | 9 |
| 5 | 21 | |
| 6 | 33 | |
| 7 | 6 | |
| 8 | 198 | |
| 9 | 100 | |
| 10 | 2 | |
| 11 | 6 | |
| 12 | On the Relationship Between the Search Directions in the Affine and Projective Variants of Karmarkar's Linear Programming Algorithm | 7 |
| 13 | 23 | |
| 14 | 12 | |
| 15 | 9 | |
| 16 | 26 | |
| 17 | 9 | |
| 18 | Thermal conductance across ball bearings in vacuum | 4 |
| 19 | 3 | |
| 20 | 1 |
About Michael J. Todd
Michael J. Todd is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computer Graphics and Computer-Aided Design, having authored 134 papers that have together received 7.6k indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (96 papers), Optimization and Variational Analysis (31 papers) and Matrix Theory and Algorithms (28 papers). The work is most often cited by research in Numerical Analysis (3.4k citations), Computational Theory and Mathematics (3.2k citations) and Computational Mathematics (60 citations). Michael J. Todd has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Kim-Chuan Toh, Reha Tütüncü, Yu. E. Nesterov, Yinyu Ye, Donald Goldfarb, Shinji Mizuno, Robert G. Bland, J. S. Marron, Arkadi Nemirovski and E. Alper Yıldırım. Their work appears in journals such as Journal of the American Statistical Association, European Journal of Operational Research and Operations Research.
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.