Yuichi Inadomi⋆

688 total citations
28 papers, 522 citations indexed

About

Yuichi Inadomi⋆ is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Computer Networks and Communications. According to data from OpenAlex, Yuichi Inadomi⋆ has authored 28 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Atomic and Molecular Physics, and Optics and 6 papers in Computer Networks and Communications. Recurrent topics in Yuichi Inadomi⋆'s work include Advanced Chemical Physics Studies (7 papers), Parallel Computing and Optimization Techniques (6 papers) and DNA and Nucleic Acid Chemistry (4 papers). Yuichi Inadomi⋆ is often cited by papers focused on Advanced Chemical Physics Studies (7 papers), Parallel Computing and Optimization Techniques (6 papers) and DNA and Nucleic Acid Chemistry (4 papers). Yuichi Inadomi⋆ collaborates with scholars based in Japan, Ireland and Germany. Yuichi Inadomi⋆'s co-authors include Tatsuya Nakano, Umpei Nagashima, Kazuo Kitaura, Yuto Komeiji, Kaori Fukuzawa, Osamu Kikuchi, Toshio Watanabe, Kenji Morihashi, Dmitri G. Fedorov and Hiroaki Umeda and has published in prestigious journals such as The Journal of Physical Chemistry B, Chemical Physics Letters and Journal of Computational Chemistry.

In The Last Decade

Yuichi Inadomi⋆

28 papers receiving 512 citations

Peers

Yuichi Inadomi⋆

AMPO

SPECT

CNC

Jialin Ju United States

Graham D. Fletcher United States

Piotr Bała Poland

Jeffrey L. Tilson United States

Urban Borštnik Slovenia

Giuseppe M. J. Barca Australia

Kent Milfeld United States

Helgi Adalsteinsson United States

Sara Kokkila-Schumacher United States

Aurelio Rodrı́guez Spain

Jialin Ju United States

Yuichi Inadomi⋆

253 ×1.0

AMPO

74 ×0.5

87 ×0.6

SPECT

75 ×0.7

CNC

86 ×0.9

Citations per year, relative to Yuichi Inadomi⋆ Yuichi Inadomi⋆ (= 1×) peers Jialin Ju

Countries citing papers authored by Yuichi Inadomi⋆

Since Specialization

Citations

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

Fields of papers citing papers by Yuichi Inadomi⋆

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuichi Inadomi⋆. 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 Yuichi Inadomi⋆. The network helps show where Yuichi Inadomi⋆ may publish in the future.

Co-authorship network of co-authors of Yuichi Inadomi⋆

This figure shows the co-authorship network connecting the top 25 collaborators of Yuichi Inadomi⋆. A scholar is included among the top collaborators of Yuichi Inadomi⋆ based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuichi Inadomi⋆. Yuichi Inadomi⋆ is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Nagasaki, Masao, Hiroki Hashimoto, Takahisa Kawaguchi, et al.. (2023). Design and implementation of a hybrid cloud system for large-scale human genomic research. Human Genome Variation. 10(1). 6–6. 3 indexed citations

Fukazawa, Keiichiro, et al.. (2018). Performance Analysis of CPU and DRAM Power Constrained Systems with Magnetohydrodynamic Simulation Code. 2 indexed citations

Inadomi⋆, Yuichi, Katsuki Fujisawa, Toshio Endo, et al.. (2016). Evaluating the impacts of code-level performance tunings on power efficiency. 362–369. 1 indexed citations

Inadomi⋆, Yuichi, Tapasya Patki, Koji Inoue, et al.. (2015). Analyzing and mitigating the impact of manufacturing variability in power-constrained supercomputing. 1–12. 78 indexed citations

Ishimoto, Takayoshi, Yuichi Inadomi⋆, Hiroaki Honda, & Michihisa Koyama. (2015). Parallel Performance Analysis for Electronic Structure Calculation of Metal Nanoparticles. Journal of Computer Chemistry Japan. 14(3). 52–53. 3 indexed citations

Fukazawa, Keiichiro, et al.. (2014). Power Consumption Evaluation of an MHD Simulation with CPU Power Capping. 612–617. 11 indexed citations

Inadomi⋆, Yuichi, Jun Maki, Hiroaki Honda, et al.. (2013). Performance Tuning of Parallel Fragment Molecular OrbitalProgram (OpenFMO) for Effective Execution on K-computer. Journal of Computer Chemistry Japan. 12(2). 145–155. 1 indexed citations

Maki, Jun, Makoto Yoshida, Yuichiro Ajima, et al.. (2011). NSIM: An Interconnection Network Simulator for Extreme-Scale Parallel Computers. IEICE Transactions on Information and Systems. E94-D(12). 2298–2308. 1 indexed citations

Umeda, Hiroaki, Yuichi Inadomi⋆, Toshio Watanabe, et al.. (2010). Parallel Fock matrix construction with distributed shared memory model for the FMO‐MO method. Journal of Computational Chemistry. 31(13). 2381–2388. 21 indexed citations

10.

Ikegami, Tsutomu, Toyokazu Ishida, Dmitri G. Fedorov, et al.. (2009). Fragment molecular orbital study of the electronic excitations in the photosynthetic reaction center ofBlastochloris viridis. Journal of Computational Chemistry. 31(2). 447–454. 25 indexed citations

11.

Umeda, Hiroaki, Yuichi Inadomi⋆, Hiroaki Honda, & Umpei Nagashima. (2008). Parallel Fock matrix construction program for molecular orbital calculation—Specific computer with a hierarchical network. Journal of Computational Chemistry. 30(5). 826–831. 1 indexed citations

12.

Susukita, R., Mutsumi Aoyagi, Hiroaki Honda, et al.. (2008). Performance prediction of large-scale parallell system and application using macro-level simulation. 1–9. 20 indexed citations

13.

Watanabe, Toshio, Yuichi Inadomi⋆, Takayoshi Ishimoto, et al.. (2007). Molecular Orbital Calculation for Large Molecule. Journal of Computer Chemistry Japan. 6(3). 217–226. 2 indexed citations

14.

Inadomi⋆, Yuichi, et al.. (2006). Implementation and Evaluation of A Molecular Orbital Calculation Program on Cell Processor. IPSJ SIG Notes. 2006(87). 103–108. 1 indexed citations

15.

Ikegami, Tsutomu, Toyokazu Ishida, Kazuo Kitaura, et al.. (2005). Full Electron Calculation Beyond 20,000 Atoms: Ground Electronic State of Photosynthetic Proteins. 10–10. 13 indexed citations

16.

Sakurai, Tetsuya, Hiroto Tadano, Yuichi Inadomi⋆, & Umpei Nagashima. (2004). A Moment‐Based Method for Large‐Scale Generalized Eigenvalue Problems. 1(2). 516–523. 2 indexed citations

17.

Komeiji, Yuto, Yuichi Inadomi⋆, & Tatsuya Nakano. (2004). PEACH 4 with ABINIT-MP: a general platform for classical and quantum simulations of biological molecules. Computational Biology and Chemistry. 28(2). 155–161. 36 indexed citations

18.

Komeiji, Yuto, Tatsuya Nakano, Kaori Fukuzawa, et al.. (2003). Fragment molecular orbital method: application to molecular dynamics simulation, ‘ab initio FMO-MD’. Chemical Physics Letters. 372(3-4). 342–347. 92 indexed citations

19.

Kikuchi, Osamu, Toshio Watanabe, Yusuke Satoh, & Yuichi Inadomi⋆. (2000). Ab initio GB study of prebiotic synthesis of purine precursors from aqueous hydrogen cyanide: dimerization reaction of HCN in aqueous solution. Journal of Molecular Structure THEOCHEM. 507(1-3). 53–62. 20 indexed citations

20.

Inadomi⋆, Yuichi, Kenji Morihashi, & Osamu Kikuchi. (1998). Theoretical study of the thermal interconversion mechanism between the norbornadiene and quadricyclane radical cations. Journal of Molecular Structure THEOCHEM. 434(1-3). 59–66. 20 indexed citations

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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