D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 40 Citations 10,233 231 World Ranking 5675 National Ranking 82

Overview

What is he best known for?

The fields of study Takao Kobayashi is best known for:

  • Immune system
  • Antibody
  • Gene

His Internal medicine studies intersect with other disciplines such as Surgery, Obstetrics, Endocrinology and Pathology. He incorporates Obstetrics and Pregnancy in his research. He conducts interdisciplinary study in the fields of Pathology and Internal medicine through his research. Takao Kobayashi is involved in relevant fields of research such as Immune system and Antibody in the realm of Immunology. His Genetics study frequently links to other fields, such as Pregnancy. In his papers, he integrates diverse fields, such as Biochemistry and Immunology.

His most cited work include:

  • The Danger Signal, Extracellular ATP, Is a Sensor for an Airborne Allergen and Triggers IL-33 Release and Innate Th2-Type Responses (408 citations)
  • IL-33–activated dendritic cells induce an atypical TH2-type response (334 citations)
  • Single-mode oscillation of laser-diode-pumped Nd:YVO_4 microchip lasers (193 citations)

What are the main themes of his work throughout his whole career to date

Borrowing concepts from Endocrinology, Takao Kobayashi weaves in ideas under Internal medicine. Takao Kobayashi brings together Endocrinology and Internal medicine to produce work in his papers. He combines topics linked to Pregnancy with his work on Genetics. His research links Genetics with Pregnancy. His multidisciplinary approach integrates Optics and Laser in his work. While working on this project, he studies both Laser and Optics.

Takao Kobayashi most often published in these fields:

  • Internal medicine (29.80%)
  • Genetics (21.52%)
  • Optics (19.21%)

What were the highlights of his more recent work (between 2013-2022)?

  • Internal medicine (34.09%)
  • Immunology (27.27%)
  • Immune system (22.73%)

In recent works Takao Kobayashi was focusing on the following fields of study:

Obstetrics and Surgery are fields of study that intersect with his Internal medicine study. Takao Kobayashi merges Obstetrics with Pregnancy in his study. In his research, he performs multidisciplinary study on Surgery and Internal medicine. As part of his Venous thrombosis and Deep vein and Thrombosis studies, he is studying Thrombosis. Artificial intelligence and Hidden Markov model are fields of study that intersect with his Speech recognition study. Takao Kobayashi applies his multidisciplinary studies on Artificial intelligence and Speech recognition in his research. Immunology and Biochemistry are two areas of study in which he engages in interdisciplinary work. He applies his multidisciplinary studies on Biochemistry and Immunology in his research. In his papers, he integrates diverse fields, such as Immune system and Innate lymphoid cell.

Between 2013 and 2022, his most popular works were:

  • Follicular helper T cells mediate IgE antibody response to airborne allergens (110 citations)
  • IL-33 and Thymic Stromal Lymphopoietin Mediate Immune Pathology in Response to Chronic Airborne Allergen Exposure (95 citations)
  • Laser radar: historical prospective—from the East to the West (84 citations)

In his most recent research, the most cited works focused on:

  • Immune system
  • Radar
  • Antibody

His research on Immunology often connects related topics like Sensitization. Sensitization and Immunology are frequently intertwined in his study. He conducted interdisciplinary study in his works that combined Immune system and Adoptive cell transfer. His work blends Adoptive cell transfer and T cell studies together. He integrates T cell with Acquired immune system in his study. He combines Acquired immune system and IL-2 receptor in his studies. IL-2 receptor and Immune system are two areas of study in which Takao Kobayashi engages in interdisciplinary work. Inflammation and Thymic stromal lymphopoietin are commonly linked in his work. His study in Inflammation extends to Thymic stromal lymphopoietin with its themes.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Speech parameter generation algorithms for HMM-based speech synthesis

K. Tokuda;T. Yoshimura;T. Masuko;T. Kobayashi.
international conference on acoustics, speech, and signal processing (2000)

1336 Citations

Simultaneous Modeling of Spectrum, Pitch and Duration in HMM-Based Speech Synthesis

Takayoshi Yoshimura;Keiichi Tokuda;Takashi Masuko;Takao Kobayashi.
conference of the international speech communication association (1999)

994 Citations

An adaptive algorithm for mel-cepstral analysis of speech

T. Fukada;K. Tokuda;T. Kobayashi;S. Imai.
international conference on acoustics, speech, and signal processing (1992)

498 Citations

Analysis of Speaker Adaptation Algorithms for HMM-Based Speech Synthesis and a Constrained SMAPLR Adaptation Algorithm

J. Yamagishi;T. Kobayashi;Y. Nakano;K. Ogata.
IEEE Transactions on Audio, Speech, and Language Processing (2009)

420 Citations

Hidden Markov models based on multi-space probability distribution for pitch pattern modeling

K. Tokuda;T. Masuko;N. Miyazaki;T. Kobayashi.
international conference on acoustics speech and signal processing (1999)

401 Citations

Speech parameter generation from HMM using dynamic features

K. Tokuda;T. Kobayashi;S. Imai.
international conference on acoustics, speech, and signal processing (1995)

392 Citations

Multi-Space Probability Distribution HMM

Keiichi Tokuda;Takashi Masuko;Noboru Miyazaki;Takao Kobayashi.
IEICE Transactions on Information and Systems (2002)

366 Citations

Mel-generalized cepstral analysis - a unified approach to speech spectral estimation.

Keiichi Tokuda;Takao Kobayashi;Takashi Masuko;Satoshi Imai.
conference of the international speech communication association (1994)

361 Citations

Speech synthesis using HMMs with dynamic features

T. Masuko;K. Tokuda;T. Kobayashi;S. Imai.
international conference on acoustics speech and signal processing (1996)

297 Citations

Average-Voice-Based Speech Synthesis Using HSMM-Based Speaker Adaptation and Adaptive Training

Junichi Yamagishi;Takao Kobayashi.
The IEICE transactions on information and systems (2007)

253 Citations

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