Roberto Szechtman
- Management Science and Operations Research top 5%
- Computer Networks and Communications top 10%
- Sociology and Political Science
- Statistics, Probability and Uncertainty top 5%
- Aerospace Engineering
- Co-authors
- Moshe KressEnver YücesanKyle Y. LinJohannes Ø. RøysetPeter W. GlynnMichael P. AtkinsonEdward H. KaplanRaghu Pasupathy
- Topics
- Simulation Techniques and Applications (12 papers)Optimization and Search Problems (6 papers)Advanced Statistical Process Monitoring (5 papers)
- Cited by
- Management Science and Operations ResearchStatistics, Probability and UncertaintyIndustrial and Manufacturing Engineering
- Journals
- European Journal of Operational ResearchOperations ResearchInternational Journal of Drug Policy
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Roberto Szechtman
29 papers receiving 343 citations
Peers
Comparison fields: 5 of 60
- Management Science and Operations Research 149
- Computer Networks and Communications 77
- Sociology and Political Science 57
- Statistics, Probability and Uncertainty 55
- Aerospace Engineering 54
Countries citing papers authored by Roberto Szechtman
This map shows the geographic impact of Roberto Szechtman'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 Roberto Szechtman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Szechtman more than expected).
Fields of papers citing papers by Roberto Szechtman
This network shows the impact of papers produced by Roberto Szechtman. 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 Roberto Szechtman. The network helps show where Roberto Szechtman may publish in the future.
Co-authorship network of co-authors of Roberto Szechtman
This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Szechtman. A scholar is included among the top collaborators of Roberto Szechtman 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 Roberto Szechtman. Roberto Szechtman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 12 | |
| 7 | 0 | |
| 8 | 25 | |
| 9 | 1 | |
| 10 | 46 | |
| 11 | 24 | |
| 12 | 41 | |
| 13 | 29 | |
| 14 | 7 | |
| 15 | A Hilbert Space Approach to Variance Reduction | 3 |
| 16 | 8 | |
| 17 | Control variate techniques for monte carlo simulation: control variates techniques for monte carlo simulation | 1 |
| 18 | 2 | |
| 19 | 2 | |
| 20 | 9 |
About Roberto Szechtman
Roberto Szechtman is a scholar working on Management Science and Operations Research, Statistics, Probability and Uncertainty and Statistics and Probability, having authored 32 papers that have together received 354 indexed citations. Recurring topics across this work include Simulation Techniques and Applications (12 papers), Optimization and Search Problems (6 papers) and Advanced Statistical Process Monitoring (5 papers). The work is most often cited by research in Management Science and Operations Research (149 citations), Statistics, Probability and Uncertainty (55 citations) and Industrial and Manufacturing Engineering (40 citations). Roberto Szechtman has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Moshe Kress, Enver Yücesan, Kyle Y. Lin, Johannes Ø. Røyset, Peter W. Glynn, Michael P. Atkinson, Edward H. Kaplan, Raghu Pasupathy, Shane G. Henderson and W. Matthew Carlyle. Their work appears in journals such as European Journal of Operational Research, Operations Research and International Journal of Drug Policy.
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.