Richard C. T. Lee

17 papers receiving 440 citations

Peers

Richard C. T. Lee
Comparison fields: 5 of 48
  • Artificial Intelligence 335
  • Computational Theory and Mathematics 266
  • Management Science and Operations Research 108
  • Computer Networks and Communications 68
  • Signal Processing 56
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Richard C. T. Lee relative to Hans van Maaren Netherlands Hans van Maaren's profile →
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Countries citing papers authored by Richard C. T. Lee

Since Specialization
Citations

This map shows the geographic impact of Richard C. T. 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 Richard C. T. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard C. T. Lee more than expected).

Fields of papers citing papers by Richard C. T. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard C. T. 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 Richard C. T. Lee. The network helps show where Richard C. T. Lee may publish in the future.

Co-authorship network of co-authors of Richard C. T. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Richard C. T. Lee. A scholar is included among the top collaborators of Richard C. T. Lee 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 Richard C. T. Lee. Richard C. T. Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 7
3
Some Optimal Parallel Algorithms on Interval and Circular-Arc Graphs
7
4
Sorting by Transpositions Based on the First Increasing Substring Concept
4
5 2
6
The minimum cooperative guards problem on k-spiral polygons
11
7
An Optimal Algorithm for Solving the Restricted Minimal Convex Nested Polygonal Separation Problem.
1
8
Proceedings of the 2nd International Symposium on Algorithms
1
9
An Optimal Parallel Algorithm for Minimum Coloring of Intervals.
3
10 2
11 0
12
A Dynamic Access Control Mechanism in Information Protection Systems
9
13 13
14
The Idea of De-Clustering and its Applications
42
15 181
16 0
17 8
18 100
19 29
20
PROW: a step toward automatic program writing
73

About Richard C. T. Lee

Richard C. T. Lee is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 20 papers that have together received 493 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (4 papers), Algorithms and Data Compression (4 papers) and Logic, programming, and type systems (3 papers). The work is most often cited by research in Computational Theory and Mathematics (266 citations), Artificial Intelligence (335 citations) and Management Science and Operations Research (108 citations). Richard C. T. Lee has collaborated with scholars based in United States, Taiwan and Germany. Frequent co-authors include Chin-Liang Chang, Richard Waldinger, James R. Slagle, Chialin Chang, Chin-Wen Ho, Nen-Fu Huang, Richard Simon, Chin‐Chen Chang, Man-Kwan Shan and Fang-Rong Hsu. Their work appears in journals such as Communications of the ACM, Information Sciences and Journal of the ACM.

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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