Igor E. Shparlinski

567 papers receiving 5.2k citations

Peers

Igor E. Shparlinski
Comparison fields: 5 of 80
  • Algebra and Number Theory 2.0k
  • Discrete Mathematics and Combinatorics 1.2k
  • Geometry and Topology 1.2k
  • Artificial Intelligence 3.6k
  • Computational Theory and Mathematics 1.2k
Replace H. W. Lenstra with:
H. W. Lenstra United States
Henri Cohen France
Carl Pomerance United States
Wieb Bosma Netherlands
Rudolf Lidl Australia
J. W. S. Cassels United Kingdom
Lawrence C. Washington United States
George Grätzer Canada
Catherine Playoust Australia
Arjeh M. Cohen Netherlands
Igor E. Shparlinski relative to H. W. Lenstra United States H. W. Lenstra's profile →
Citations per field
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H. W. Lenstra · 1×
Citations per year

Countries citing papers authored by Igor E. Shparlinski

Since Specialization
Citations

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

Fields of papers citing papers by Igor E. Shparlinski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Igor E. Shparlinski. 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 Igor E. Shparlinski. The network helps show where Igor E. Shparlinski may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 616 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999147
2 2002136
3 2003134
4 2003113
5 2003109
6 199975
7 200772
8 199261
9 200159
10 200858
11 200253
12 200051
13 200051
14 200049
15 200048
16 199947
17 200344
18 200043
19 201143
20 200042

About Igor E. Shparlinski

Igor E. Shparlinski is a scholar working on Artificial Intelligence, Algebra and Number Theory, Geometry and Topology, Discrete Mathematics and Combinatorics and Information Systems, having authored 616 papers that have together received 5.6k indexed citations. Recurring topics across this work include Analytic Number Theory Research (325 papers), Coding theory and cryptography (307 papers), Cryptography and Residue Arithmetic (122 papers), Algebraic Geometry and Number Theory (118 papers), Limits and Structures in Graph Theory (107 papers), Finite Group Theory Research (77 papers), Advanced Mathematical Identities (75 papers) and Cryptography and Data Security (62 papers). The work is most often cited by research in Algebra and Number Theory (2.0k citations), Discrete Mathematics and Combinatorics (1.2k citations), Geometry and Topology (1.2k citations), Artificial Intelligence (3.6k citations) and Computational Theory and Mathematics (1.2k citations). Igor E. Shparlinski has collaborated with scholars based in Australia, United States and Mexico. Frequent co-authors include Harald Niederreiter, William D. Banks, Sergeĭ Konyagin, John Friedlander, Florian Luca, Phong Q. Nguyễn, Alina Ostafe, Arne Winterhof, Joachim von zur Gathen and Graham Everest. Their work appears in journals such as Journal of Number Theory, Mathematics of Computation, Finite Fields and Their Applications, Acta Arithmetica and Proceedings of the American Mathematical Society.

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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