Anureet Saxena
- Numerical Analysis top 5%
- Computational Theory and Mathematics top 5%
- Management Science and Operations Research top 10%
- Control and Systems Engineering top 10%
- Industrial and Manufacturing Engineering top 5%
- Co-authors
- Pierre BonamiJon LeeEgon BalasMiguel A. LejeuneVineet GoyalRobert A. StubbsSebastián CeriaJohn B. Guerard
- Topics
- Financial Markets and Investment Strategies (5 papers)Risk and Portfolio Optimization (4 papers)Monetary Policy and Economic Impact (3 papers)
- Cited by
- Numerical AnalysisComputational Theory and MathematicsManagement Science and Operations Research
- Partner nations
- United StatesFrance
In The Last Decade
Anureet Saxena
12 papers receiving 223 citations
Peers
Comparison fields: 5 of 45
- Numerical Analysis 116
- Computational Theory and Mathematics 113
- Management Science and Operations Research 83
- Control and Systems Engineering 76
- Industrial and Manufacturing Engineering 64
Countries citing papers authored by Anureet Saxena
This map shows the geographic impact of Anureet Saxena'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 Anureet Saxena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anureet Saxena more than expected).
Fields of papers citing papers by Anureet Saxena
This network shows the impact of papers produced by Anureet Saxena. 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 Anureet Saxena. The network helps show where Anureet Saxena may publish in the future.
Co-authorship network of co-authors of Anureet Saxena
This figure shows the co-authorship network connecting the top 25 collaborators of Anureet Saxena. A scholar is included among the top collaborators of Anureet Saxena 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 Anureet Saxena. Anureet Saxena is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 2 | |
| 6 | 14 | |
| 7 | 12 | |
| 8 | 1 | |
| 9 | 69 | |
| 10 | 45 | |
| 11 | 47 | |
| 12 | 1 | |
| 13 | 56 |
About Anureet Saxena
Anureet Saxena is a scholar working on Finance, Management Science and Operations Research and Numerical Analysis, having authored 13 papers that have together received 256 indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (5 papers), Risk and Portfolio Optimization (4 papers) and Monetary Policy and Economic Impact (3 papers). The work is most often cited by research in Numerical Analysis (116 citations), Computational Theory and Mathematics (113 citations) and Management Science and Operations Research (83 citations). Anureet Saxena has collaborated with scholars based in United States and France. Frequent co-authors include Pierre Bonami, Jon Lee, Egon Balas, Miguel A. Lejeune, Vineet Goyal, Robert A. Stubbs, Sebastián Ceria, John B. Guerard and Mustafa Gültekin. Their work appears in journals such as Mathematical Programming, The Journal of Portfolio Management and Journal of Asset Management.
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.