Robin C. Gilbert

11 papers receiving 231 citations

Peers

Robin C. Gilbert
Comparison fields: 5 of 62
  • Statistics and Probability 40
  • Statistics, Probability and Uncertainty 22
  • Artificial Intelligence 97
  • Computer Vision and Pattern Recognition 58
  • Management Science and Operations Research 30
Replace Yinlam Chow with:
Yinlam Chow United States
Danilo Macciò Italy
Soroosh Shafieezadeh-Abadeh Switzerland
Manabu Shirosaki Japan
Jiwen Guan United Kingdom
Siniša Nikolić Serbia
M.H. Lim Singapore
Alain Appriou France
James Robert Lloyd United Kingdom
Bart P. G. Van Parys United States
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Countries citing papers authored by Robin C. Gilbert

Since Specialization
Citations

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

Fields of papers citing papers by Robin C. Gilbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robin C. Gilbert. 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 Robin C. Gilbert. The network helps show where Robin C. Gilbert may publish in the future.

Co-authors

The 7 scholars most cited alongside Robin C. Gilbert, 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 Robin C. Gilbert Line = papers co-authored together Robin C. Gilbert links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 200589
2 198279
3 200654
4 19946
5 20094
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7 20093
8 20163
9 20062
10 20131
11 20101

About Robin C. Gilbert

Robin C. Gilbert is a scholar working on Computational Mechanics, Mechanical Engineering, Industrial and Manufacturing Engineering, Artificial Intelligence and Numerical Analysis, having authored 11 papers that have together received 246 indexed citations. Recurring topics across this work include Advanced Measurement and Metrology Techniques (4 papers), Manufacturing Process and Optimization (3 papers), Sparse and Compressive Sensing Techniques (3 papers), Advanced Numerical Analysis Techniques (2 papers), Advanced Optimization Algorithms Research (2 papers), Control Systems and Identification (2 papers), Error Correcting Code Techniques (1 paper) and Advanced machining processes and optimization (1 paper). The work is most often cited by research in Statistics and Probability (40 citations), Statistics, Probability and Uncertainty (22 citations), Artificial Intelligence (97 citations), Computer Vision and Pattern Recognition (58 citations) and Management Science and Operations Research (30 citations). Robin C. Gilbert has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Theodore B. Trafali̇s, David L. Neuhoff, Peter Rosa, Shivakumar Raman, Lance M. Leslie, S. Ganesh Sundara Raman and Michael B. Richman. Their work appears in journals such as Optimization methods & software, Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture, European Journal of Operational Research, The International Journal of Advanced Manufacturing Technology and Manufacturing Letters.

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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