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T. Nakajima

31 papers hereh-index 17773 citations58 works total

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

author position
  • first author9
  • middle author17
  • last author1

Across the 27 of 31 papers where every author was matched, so the position is known.

fields
  • astro-ph.GA19
  • astro-ph.IM8
  • astro-ph2
  • astro-ph.CO1
  • astro-ph.SR1
same name
  • T. Nakajima — 48 papers, h 28
  • T. Nakajima — 40 papers, h 24
  • T. Nakajima — 22 papers, h 26
  • T. Nakajima — 16 papers, h 5
  • T. Nakajima — 16 papers, h 10
  • T. Nakajima — 12 papers, h 4

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
20072026
most citedSubmillimeter ALMA Observations of the Dense Gas in the Low-Luminosity Type-1 Active Nucleus of NGC 1097

89 citations · 851 across the 29 of their papers we have counts for

collaborators
Showing 2026Show all

3 papers · 1 filter

astro-ph.IM2026

A Wideband Millimeter-wave Receiver at 210-350 GHz for LMT-FINER

Haoran Kang, Takafumi Kojima, Takeshi Sakai +9

The Far-Infrared Nebular Emission Receiver (FINER) project is developing two wideband dual-polarization sideband-separating receivers covering 120-210 GHz and 210-350 GHz to effici…

astro-ph.IM2026

FINER: development of the wideband millimeter-wave receiver system and preparations for first light on the Large Millimeter Telescope

Akio Taniguchi, Yoichi Tamura, Takeshi Sakai +38

The recent discovery of an excess of luminous galaxies in the early Universe necessitates sensitive and wideband millimeter spectroscopy to understand their rapid growth. To addres…

astro-ph.GA2026

A New Framework for Multi-Line Analysis Combined Kernel PCA and Kernel SHAP: A Case of NGC 1068 ALMA Band 3 Data

Hiroma Okubo, Tsutomu T. Takeuchi, Shotaro Akaho +7

We present a new framework for multi-line analysis that combines kernel principal component analysis (Kernel PCA), an unsupervised machine-learning method, and Kernel SHapley Addit…

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