Andreas Stein

29 papers receiving 202 citations

Peers

Andreas Stein
Comparison fields: 5 of 51
  • Geometry and Topology 125
  • Information Systems 153
  • Artificial Intelligence 170
  • Computational Theory and Mathematics 68
  • Algebra and Number Theory 14
Replace Francesco Sica with:
Francesco Sica Canada
Sylvain Duquesne France
Kirsten Eisenträger United States
Peter Birkner Netherlands
Jean-Marc Couveignes France
Pierre-Jean Spaenlehauer France
Alina Ostafe Australia
Wojciech Jaworski Poland
Inna Kal’chuk Ukraine
Clément Pernet France
Andreas Stein relative to Francesco Sica Canada Francesco Sica's profile →
Citations per field
00.5×1.5×2.1×
Francesco Sica · 1×
Citations per year

Countries citing papers authored by Andreas Stein

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Stein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199942
2 202020
3 199920
4 200718
5 199717
6 200116
7 199816
8 199914
9 200713
10 200112
11 20019
12 20177
13 20106
14 20135
15
Optimized Baby Step-Giant Step Methods
20055
16 20004
17 20094
18 20074
19 20223
20 20113

About Andreas Stein

Andreas Stein is a scholar working on Information Systems, Geometry and Topology, Artificial Intelligence, Computational Theory and Mathematics and Computational Mechanics, having authored 31 papers that have together received 255 indexed citations. Recurring topics across this work include Cryptography and Residue Arithmetic (16 papers), Algebraic Geometry and Number Theory (14 papers), Coding theory and cryptography (12 papers), Polynomial and algebraic computation (9 papers), Cryptography and Data Security (4 papers), Stochastic processes and financial applications (3 papers), Analytic Number Theory Research (3 papers) and Advanced Mathematical Modeling in Engineering (2 papers). The work is most often cited by research in Geometry and Topology (125 citations), Information Systems (153 citations), Artificial Intelligence (170 citations), Computational Theory and Mathematics (68 citations) and Algebra and Number Theory (14 citations). Andreas Stein has collaborated with scholars based in Canada, Germany and United States. Frequent co-authors include Renate Scheidler, Edlyn Teske, Volker Müller, Christoph Thiel, Michael J. Jacobson, Hugh C. Williams, Andrea Barth, Andreas Enge, Ning Shang and L.P.H. de Goey. Their work appears in journals such as Mathematics of Computation, Stochastic Partial Differential Equations Analysis and Computations, ESAIM. Mathematical modelling and numerical analysis, Advances in Mathematics of Communications and Research in the Mathematical Sciences.

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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