M.J. Coster

558 citations
12 papers · 298 · h-index 7

Impact in

Papers in

M.J. Coster

10 papers receiving 268 citations

Peers

M.J. Coster
Comparison fields: 5 of 30
  • Artificial Intelligence 238
  • Computational Theory and Mathematics 88
  • Discrete Mathematics and Combinatorics 16
  • Algebra and Number Theory 20
  • Information Systems 83
Replace Renate Scheidler with:
Renate Scheidler Canada
Shuqin Fan China
Jonathan Sorenson United States
Chris Monico United States
Bruce Dodson United States
Maozhi Xu China
Claus-Peter Schnorr Germany
Young-Ho Park South Korea
Patrick Felke Germany
Willi Geiselmann Germany
M.J. Coster relative to Renate Scheidler Canada Renate Scheidler's profile →
Citations per field
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Citations per year

Countries citing papers authored by M.J. Coster

Since Specialization
Citations

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

Fields of papers citing papers by M.J. Coster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside M.J. Coster, 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 M.J. Coster Line = papers co-authored together M.J. Coster links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1992152
2 200763
3 200735
4 199111
5
Addition chain heuristics
19898
6 19888
7 19867
8
Some algorithms on addition chains and their complexity
19906
9 19954
10
Quadratic forms in design theory
19942
11
Congruence properties of coefficients of certain algebraic power series
19881
12 19901

About M.J. Coster

M.J. Coster is a scholar working on Algebra and Number Theory, Artificial Intelligence, Computational Theory and Mathematics, Mathematical Physics and Information Systems, having authored 12 papers that have together received 298 indexed citations. Recurring topics across this work include Advanced Mathematical Identities (3 papers), Cryptography and Residue Arithmetic (2 papers), Mathematical functions and polynomials (2 papers), Cryptography and Data Security (2 papers), Analytic Number Theory Research (2 papers), advanced mathematical theories (2 papers), Complexity and Algorithms in Graphs (2 papers) and Coding theory and cryptography (2 papers). The work is most often cited by research in Artificial Intelligence (238 citations), Computational Theory and Mathematics (88 citations), Discrete Mathematics and Combinatorics (16 citations), Algebra and Number Theory (20 citations) and Information Systems (83 citations). M.J. Coster has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Brian LaMacchia, Andrew Odlyzko, Antoine Joux, Jacques Stern, Claus-Peter Schnorr, C. P. Schnorr, C. Roos and Willem H. Haemers. Their work appears in journals such as Journal of Number Theory, Discrete Mathematics, Computational Complexity, Compositio Mathematica and Designs Codes and Cryptography.

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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