World's Best Scientists 2026 revealed!
Award Badge
Mathematics
Japan
2023

D-Index & Metrics

Mathematics

D-Index
65
Citations
18997
World Ranking
385
National Ranking
5

Research.com Recognitions

  • 2023 - Research.com Mathematics in Japan Leader Award

Overview

Wataru Takahashi was a researcher affiliated with the Tokyo Institute of Technology in Japan. Their work spanned multiple disciplines, with a particular focus on medicine, mathematics, and computer science.

Their research addressed several key topics including optimization and variational analysis, advanced optimization algorithms research, fixed point theorems analysis, influenza virus research studies, COVID-19 diagnosis using artificial intelligence, respiratory viral infections research, as well as banking stability, regulation, and efficiency.

Takahashi contributed to numerous publications across various fields, as indicated by their presence in major journal venues such as:

  • Journal of Medical Internet Research
  • Internal Medicine
  • Electronic Journal of Foreign Language Teaching
  • Mathematics
  • bioRxiv (Cold Spring Harbor Laboratory)

Several frequent coauthors appeared alongside Takahashi in their works, demonstrating collaborative efforts in research projects. These coauthors included:

  • Sho Okiyama
  • Memori Fukuda
  • Masashi Sode
  • Masahiro Ikeda
  • Hiroaki Kato

Their published papers covered a range of subjects from medical diagnostics to mathematical theory. Notable recent papers include:

  • "Examining the Use of an Artificial Intelligence Model to Diagnose Influenza: Development and Validation Study", 2022, Journal of Medical Internet Research
  • "Association of Systemic Adverse Reactions and Serum SARS-CoV-2 Spike Protein Antibody Levels after Administration of BNT162b2 mRNA COVID-19 Vaccine", 2022, Internal Medicine
  • "Out-of-Class Extensive Reading in Japanese as a Second Language: Enhancing Learner Autonomy Beyond the Classroom", 2020, Electronic Journal of Foreign Language Teaching
  • "A Strong Convergence Theorem under a New Shrinking Projection Method for Finite Families of Nonlinear Mappings in a Hilbert Space", 2020, Mathematics
  • "Diagnosing Influenza Infection from Pharyngeal Images using Deep Learning: Machine Learning Approach", 2022, bioRxiv (Cold Spring Harbor Laboratory)

In addition to journal articles, Takahashi authored book publications, including a title published by Springer International Publishing:

  • "Monetary Policies in the Age of Uncertainty", 2021

Their subfields of study included computational theory and mathematics, epidemiology, finance, numerical analysis, and geometry and topology, reflecting a diverse research portfolio.

Best Publications

  • Strong Convergence of a Proximal-Type Algorithm in a Banach Space

    Shoji Kamimura;Wataru Takahashi

  • Strong convergence theorems for nonexpansive mappings and nonexpansive semigroups

    Kazuhide Nakajo;Wataru Takahashi

  • Weak Convergence Theorems for Nonexpansive Mappings and Monotone Mappings

    W. Takahashi;M. Toyoda

  • Viscosity approximation methods for equilibrium problems and fixed point problems in Hilbert spaces

    Satoru Takahashi;Wataru Takahashi

  • A convexity in metric space and nonexpansive mappings, I

    Unknown

  • Fixed point theorems for multivalued mappings on complete metric spaces

    Noriko Mizoguchi;Wataru Takahashi

  • A strong convergence theorem for relatively nonexpansive mappings in a Banach space

    Shin-ya Matsushita;Wataru Takahashi

  • Weak Convergence Theorem by an Extragradient Method for Nonexpansive Mappings and Monotone Mappings

    N. Nadezhkina;W. Takahashi

  • Strong convergence of approximated sequences for nonexpansive mappings in Banach spaces

    Wataru Takahashi;Naoki Shioji

  • Approximation of common fixed points of a countable family of nonexpansive mappings in a Banach space

    Koji Aoyama;Yasunori Kimura;Wataru Takahashi;Masashi Toyoda

  • NONCONVEX MINIMIZATION THEOREMS AND FIXED POINT THEOREMS IN COMPLETE METRIC SPACES

    Osamu Kada;Tomonari Suzuki;Wataru Takahashi

  • STRONG AND WEAK CONVERGENCE THEOREMS FOR EQUILIBRIUM PROBLEMS AND RELATIVELY NONEXPANSIVE MAPPINGS IN BANACH SPACES

    Wataru Takahashi;Kei Zembayashi

  • Strong convergence theorem for a generalized equilibrium problem and a nonexpansive mapping in a Hilbert space

    Satoru Takahashi;Wataru Takahashi

  • Strong convergence theorems by hybrid methods for families of nonexpansive mappings in Hilbert spaces

    Wataru Takahashi;Yukio Takeuchi;Rieko Kubota

  • Variational inequalities and complementarity problems

    Shigeru Itoh;Wataru Takahashi;Kenjiro Yanagi

  • Weak and Strong Convergence Theorems for a Nonexpansive Mapping and an Equilibrium Problem

    A. Tada;W. Takahashi

  • Strong convergence theorems for nonexpansive mappings and inverse-strongly monotone mappings

    Hideaki Iiduka;Wataru Takahashi

  • Fixed point theorems for a class of nonlinear mappings related to maximal monotone operators in Banach spaces

    Fumiaki Kohsaka;Wataru Takahashi

  • Approximating Solutions of Maximal Monotone Operators in Hilbert Spaces

    Unknown

  • On Reich's strong convergence theorems for resolvents of accretive operators

    Wataru Takahashi;Yoichi Ueda

  • Existence and Approximation of Fixed Points of Firmly Nonexpansive-Type Mappings in Banach Spaces

    Fumiaki Kohsaka;Wataru Takahashi

  • Strong Convergence to Common Fixed Points of Families of Nonexpansive Mappings

    Tomoo Shimizu;Wataru Takahashi

Frequent Co-Authors

Jen-Chih Yao
Jen-Chih Yao China Medical University
Anthony To-Ming Lau
Anthony To-Ming Lau University of Alberta

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students interested in Mathematics, expanding skill sets through related online degrees can open diverse career pathways. One popular option is pursuing a masters data analytics program. This degree leverages mathematical principles and statistical techniques to interpret complex data, making graduates valuable in fields like finance, healthcare, and technology.

Meanwhile, those seeking leadership roles may consider business-oriented degrees. The landscape includes options such as the easiest mba programs and easy online mba degrees, which are designed to offer flexible and accessible learning experiences that complement analytical skills.

For professionals aiming to advance to the highest levels of corporate leadership or academia, pursuing a doctoral diploma, such as those found in dba programs online, can provide critical expertise in business administration and research methodologies.

Choosing the right path depends on career goals, time commitment, and the desire to integrate mathematical knowledge with practical business or data skills. These online degree options reflect the growing intersection between mathematics and other disciplines in today’s job market.

Best Scientists Citing Wataru Takahashi