Robert M. Lee

8 papers receiving 318 citations

Peers

Robert M. Lee
Comparison fields: 5 of 69
  • Control and Systems Engineering 126
  • Statistics, Probability and Uncertainty 17
  • Computer Networks and Communications 48
  • Surgery 92
  • Computational Theory and Mathematics 30
Replace Nicola Paoletti with:
Nicola Paoletti United Kingdom
Chen Zong-ji China
Shuai Yue China
Owen Brown United States
Wenjing Hong China
Muhammad Umer Tariq United States
Jacek Kluska Poland
Abdul Raouf Khan Saudi Arabia
Robert P. Judd United States
Romain Laroche France
Robert M. Lee relative to Nicola Paoletti United Kingdom Nicola Paoletti's profile →
Citations per field
00.5×4.7×
Nicola Paoletti · 1×
Citations per year

Countries citing papers authored by Robert M. Lee

Since Specialization
Citations

This map shows the geographic impact of Robert M. Lee'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 Robert M. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert M. Lee more than expected).

Fields of papers citing papers by Robert M. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert M. Lee. 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 Robert M. Lee. The network helps show where Robert M. Lee may publish in the future.

Co-authorship network

The 15 scholars most cited alongside Robert M. Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Robert M. Lee Line = papers co-authored together Robert M. Lee links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 20250
2 20251
3 20249
4 20234
5 202137
6 202118
7
Analysis of the Cyber Attack on the Ukrainian Power Grid. Defense Use Case
2016116
8 200259
9 198989

About Robert M. Lee

Robert M. Lee is a scholar working on Statistics, Probability and Uncertainty, Computational Theory and Mathematics, Management Science and Operations Research, Management Information Systems and Analytical Chemistry, having authored 9 papers that have together received 333 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (4 papers), Probabilistic and Robust Engineering Design (2 papers), Risk and Portfolio Optimization (1 paper), Abdominal Surgery and Complications (1 paper), Virus-based gene therapy research (1 paper), Integrated Energy Systems Optimization (1 paper), Machine Learning in Materials Science (1 paper) and Intestinal Malrotation and Obstruction Disorders (1 paper). The work is most often cited by research in Control and Systems Engineering (126 citations), Statistics, Probability and Uncertainty (17 citations), Computer Networks and Communications (48 citations), Surgery (92 citations) and Computational Theory and Mathematics (30 citations). Robert M. Lee has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Jack Pickleman, Shrikant Anant, Debnath Mukhopadhyay, David Viskochil, Nicholas O. Davidson, Ruth Misener, Susan Kennedy, Jan Kronqvist, D. Walz and Thomas G. Tranter. Their work appears in journals such as npj Computational Materials, The American Journal of Human Genetics, Optimization Letters, SIAM Review and European Journal of Operational 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.

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