L. Thiel

437 citations
11 papers · 197 indexed · h-index 5

L. Thiel

11 papers receiving 169 citations

Peers

L. Thiel
Comparison fields: 5 of 40
  • Discrete Mathematics and Combinatorics 73
  • Geometry and Topology 39
  • Computational Theory and Mathematics 57
  • Theoretical Computer Science 3
  • Artificial Intelligence 83
Replace R. H. F. Denniston with:
R. H. F. Denniston United Kingdom
Marilynn Livingston United States
Ajai Kapoor Italy
Nicholas J. Cavenagh Australia
Siu Lun Singapore
Thomas Storer United States
Michael I. Hartley Malaysia
Stephen G. Hartke United States
Dalibor Fronček United States
Maximilien Gadouleau United Kingdom
L. Thiel relative to R. H. F. Denniston United Kingdom R. H. F. Denniston's profile →
Citations per field
00.5×1.6×
R. H. F. Denniston · 1×
Citations per year

Countries citing papers authored by L. Thiel

Since Specialization
Citations

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

Fields of papers citing papers by L. Thiel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. Thiel. 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 L. Thiel. The network helps show where L. Thiel may publish in the future.

Co-authorship network

The 18 scholars most cited alongside L. Thiel, 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 L. Thiel Line = papers co-authored together L. Thiel links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 20251
2 20183
3 20161
4 20024
5 19984
6 19951
7 199124
8 199022
9 198995
10 198914
11 198328

About L. Thiel

L. Thiel is a scholar working on Health Informatics, Discrete Mathematics and Combinatorics, Software, Computational Theory and Mathematics and Artificial Intelligence, having authored 11 papers that have together received 197 indexed citations. Recurring topics across this work include graph theory and CDMA systems (6 papers), Coding theory and cryptography (3 papers), Graph Labeling and Dimension Problems (3 papers), Finite Group Theory Research (2 papers), Machine Learning in Bioinformatics (1 paper), VLSI and FPGA Design Techniques (1 paper), Interconnection Networks and Systems (1 paper) and Mathematics and Applications (1 paper). The work is most often cited by research in Discrete Mathematics and Combinatorics (73 citations), Geometry and Topology (39 citations), Computational Theory and Mathematics (57 citations), Theoretical Computer Science (3 citations) and Artificial Intelligence (83 citations). L. Thiel has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Clement Lam, John McKay, Yuan Ding, Vladimir D. Tonchev, Shawn Delaney, Michael Weinmann, Sheridan Houghten, Ching Man Lam, Gregory Butler and Daniel S. Seidman. Their work appears in journals such as Discrete Mathematics, Journal of Combinatorial Designs, Journal of Combinatorial Theory Series A, Designs Codes and Cryptography and Reproductive Biology and Endocrinology.

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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