C. R. Bector

89 papers receiving 2.0k citations

Peers

C. R. Bector
Comparison fields: 5 of 84
  • Numerical Analysis 577
  • Statistics and Probability 628
  • Management Science and Operations Research 828
  • Computational Theory and Mathematics 1.0k
  • Control and Systems Engineering 970
Replace Sy‐Ming Guu with:
Sy‐Ming Guu Taiwan
Hsien-Chung Wu Taiwan
Jean-Philippe Vial Switzerland
Ion M. Stancu-Minasian Romania
Huifu Xu United Kingdom
James E. Falk United States
K. O. Kortanek United States
François Oustry France
Harold P. Benson United States
Marco A. López Cerdá Spain
C. R. Bector relative to Sy‐Ming Guu Taiwan Sy‐Ming Guu's profile →
Citations per field
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Citations per year

Countries citing papers authored by C. R. Bector

Since Specialization
Citations

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

Fields of papers citing papers by C. R. Bector

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside C. R. Bector, 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 C. R. Bector Line = papers co-authored together C. R. Bector links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004146
2 2004132
3 2005111
4 2003103
5 200488
6 199179
7 198974
8 200267
9 199264
10 197363
11 199359
12 198957
13 200652
14 199351
15 200451
16
Principles of Optimization Theory
200546
17 200741
18 199341
19 198837
20 196833

About C. R. Bector

C. R. Bector is a scholar working on Numerical Analysis, Computational Theory and Mathematics, Control and Systems Engineering, Management Science and Operations Research and Statistics and Probability, having authored 92 papers that have together received 2.1k indexed citations. Recurring topics across this work include Optimization and Mathematical Programming (44 papers), Optimization and Variational Analysis (42 papers), Advanced Optimization Algorithms Research (30 papers), Multi-Criteria Decision Making (16 papers), Fuzzy Systems and Optimization (14 papers), Scheduling and Optimization Algorithms (9 papers), Advanced Manufacturing and Logistics Optimization (8 papers) and Assembly Line Balancing Optimization (8 papers). The work is most often cited by research in Numerical Analysis (577 citations), Statistics and Probability (628 citations), Management Science and Operations Research (828 citations), Computational Theory and Mathematics (1.0k citations) and Control and Systems Engineering (970 citations). C. R. Bector has collaborated with scholars based in Canada, India and United States. Frequent co-authors include S. Chandra, Suresh Chandra, Chanchal Singh, Kamal Smimou, Iqbal Husain, Mahesh Chander Gupta, Mehran Hojati, Surjeet Kaur Suneja, Y.P. Gupta and Apurv Mehra. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Journal of Optimization Theory and Applications, International Journal of Systems Science, Fuzzy Optimization and Decision Making 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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