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S. Koyama

16 papers hereh-index 13702 citations59 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author7
  • middle author3
  • last author5

Across the 16 of 16 papers where every author was matched, so the position is known.

fields
  • math.NT16
same name
  • S. Koyama — 75 papers, h 31
  • S. Koyama — 32 papers, h 23
  • S. Koyama — 15 papers, h 9
  • S. Koyama — 9 papers, h 14
  • S. Koyama — 9 papers, h 4
  • S. Koyama — 8 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20122026
most citedEuler products of Selberg zeta functions in the critical strip

9 citations · 27 across the 16 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

math.NT2022★ 4 cited

A New Aspect of Chebyshev's Bias for Elliptic Curves over Function Fields

Ikuya Kaneko, Shin-ya Koyama

This work considers the prime number races for non-constant elliptic curves E over function fields. We prove that if rank(E)>0, then there exist Chebyshev biases tow…

math.NT2022★ 2 cited

Towards the Deep Riemann Hypothesis for GLn​

Ikuya Kaneko, Shin-ya Koyama, Nobushige Kurokawa

We explicate the deep Riemann hypothesis for the general linear group GLn​ on the convergence of normalised Euler products of standard L-functions on the critical li…

math.NT2022

Chebyshev's Bias for Ramanujan's τ-function via the Deep Riemann Hypothesis

Shin-ya Koyama, Nobushige Kurokawa

The authors assume the Deep Riemann Hypothesis to prove that a weighted sum of Ramanujan's τ-function has a bias to being positive. This phenomenon is an analogue of Chebyshev's…

math.NT2022

Chebyshev's Bias against Splitting and Principal Primes in Global Fields

Miho Aoki, Shin-ya Koyama

Reasons for the emergence of Chebyshev's bias were investigated. The Deep Riemann Hypothesis (DRH) enables us to reveal that the bias is a natural phenomenon for achieving a well-b…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.