Koji Morikawa

571 total citations
48 papers, 413 citations indexed

About

Koji Morikawa is a scholar working on Fluid Flow and Transfer Processes, Automotive Engineering and Biomedical Engineering. According to data from OpenAlex, Koji Morikawa has authored 48 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Fluid Flow and Transfer Processes, 11 papers in Automotive Engineering and 11 papers in Biomedical Engineering. Recurrent topics in Koji Morikawa's work include Advanced Combustion Engine Technologies (23 papers), Vehicle emissions and performance (11 papers) and Biodiesel Production and Applications (8 papers). Koji Morikawa is often cited by papers focused on Advanced Combustion Engine Technologies (23 papers), Vehicle emissions and performance (11 papers) and Biodiesel Production and Applications (8 papers). Koji Morikawa collaborates with scholars based in Japan, Netherlands and Belgium. Koji Morikawa's co-authors include Yasuo Moriyoshi, Tatsuya Kuboyama, Toshio Yamada, Makoto Kaneko, Y. Uchikawa, Takeshi Furuhashi, Mitsuaki Tanabe, M. Suzuki, Hiroshi Nittono and Masaki Sano and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neuroreport and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

Koji Morikawa

43 papers receiving 373 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Koji Morikawa Japan 12 275 172 139 133 64 48 413
Iakovos Papadimitriou United States 10 61 0.2× 20 0.1× 174 1.3× 48 0.4× 42 0.7× 18 366
Daniel Lee United States 9 9 0.0× 34 0.2× 9 0.1× 97 0.7× 45 0.7× 46 255
Tudor-Bogdan Airimiţoaie France 11 6 0.0× 130 0.8× 26 0.2× 45 0.3× 33 0.5× 41 346
Miguel Ferrer Spain 16 3 0.0× 710 4.1× 136 1.0× 341 2.6× 21 0.3× 60 845
S.M. Savaresi Italy 8 5 0.0× 32 0.2× 259 1.9× 15 0.1× 20 0.3× 13 450
Jaesung Oh South Korea 10 2 0.0× 53 0.3× 33 0.2× 159 1.2× 75 1.2× 41 392
Michal Lukáč Slovakia 10 2 0.0× 71 0.4× 38 0.3× 16 0.1× 9 0.1× 35 351
G. Cappuccino Italy 11 3 0.0× 11 0.1× 83 0.6× 222 1.7× 23 0.4× 42 411
P. Schmidt United States 12 10 0.0× 9 0.1× 17 0.1× 55 0.4× 18 0.3× 30 741
Jae-Bok Song South Korea 10 5 0.0× 7 0.0× 19 0.1× 96 0.7× 38 0.6× 16 357

Countries citing papers authored by Koji Morikawa

Since Specialization
Citations

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

Fields of papers citing papers by Koji Morikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Koji Morikawa. 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 Koji Morikawa. The network helps show where Koji Morikawa may publish in the future.

Co-authorship network of co-authors of Koji Morikawa

This figure shows the co-authorship network connecting the top 25 collaborators of Koji Morikawa. A scholar is included among the top collaborators of Koji Morikawa 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 Koji Morikawa. Koji Morikawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Morikawa, Koji, et al.. (2021). Calibration-Free Cuffless Blood Pressure Estimation Based on a Population With a Diverse Range of Age and Blood Pressure. SHILAP Revista de lepidopterología. 3. 695356–695356. 7 indexed citations
2.
Morikawa, Koji & Takanori Komatsu. (2020). Entrainment in the Rate of Utterances in Speech Dialogs between Users and an Auto Response System. Zenodo (CERN European Organization for Nuclear Research).
3.
Sawada, Yoshihide, et al.. (2020). Conditional Generative Adversarial Networks for Inorganic Chemical Compositions. Chemistry Letters. 50(4). 623–626. 1 indexed citations
4.
Moriyoshi, Yasuo, et al.. (2017). Improvement in Thermal Efficiency of Lean Burn Pre-Chamber Natural Gas Engine by Optimization of Combustion System. SAE technical papers on CD-ROM/SAE technical paper series. 1. 8 indexed citations
5.
Moriyoshi, Yasuo, et al.. (2015). A Study of Low Speed Preignition Mechanism in Highly Boosted SI Gasoline Engines. SAE International Journal of Engines. 9(1). 98–106. 15 indexed citations
6.
Morikawa, Koji, et al.. (2012). Estimating uncomfortable loudness levels using evoked potentials to auditory stimuli for hearing aid fitting. PubMed. 2012. 2108–2111. 4 indexed citations
7.
Morikawa, Koji, et al.. (2012). Early event-related brain potentials that reflect interest for content information in the media. Neuroreport. 23(5). 331–335. 1 indexed citations
8.
Morikawa, Koji, et al.. (2011). Identification of Event-Related Potentials Elicited by Conceptual Mismatch Between Expectations and Self-chosen TV Images. Applied Psychophysiology and Biofeedback. 36(3). 147–157. 5 indexed citations
9.
Watanabe, Yusuke, et al.. (2008). Evaluation of Homogeneous Charge Compression Ignition at High Engine Speeds using a Super Rapid Compression Machine. SAE technical papers on CD-ROM/SAE technical paper series. 1. 7 indexed citations
10.
Morikawa, Koji, et al.. (2007). High Compression Ratio High Efficiency Gasoline Engine with Variable Speed Piston-crank Mechanism. TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series B. 73(735). 2176–2182. 3 indexed citations
11.
Moriyoshi, Yasuo, Masaki Sano, Koji Morikawa, & Makoto Kaneko. (2006). DRASTIC IMPROVEMENT OF THERMAL EFFICIENCY BY RAPID PISTON-MOVEMENT NEAR TDC. International Journal of Automotive Technology. 7(3). 285–291. 7 indexed citations
12.
Ishikawa, Satoru, et al.. (2004). Acceleration of game learning with reward propagation in segmented state space. 103(734). 13–18.
13.
Moriyoshi, Yasuo, et al.. (2004). Performance Tests of Reverse Uniflow-Type Two-Stroke Gasoline DI Engine. SAE technical papers on CD-ROM/SAE technical paper series. 1. 4 indexed citations
14.
Moriyoshi, Yasuo, et al.. (2002). Analysis of Mixture Formation Process in a Reverse Uniflow-Type Two-Stroke Gasoline DI Engine. SAE technical papers on CD-ROM/SAE technical paper series. 3 indexed citations
15.
Morikawa, Koji, Takeshi Furuhashi, & Y. Uchikawa. (2002). Cooperation and evolution of scheduling system with genetic algorithms. 1. 491–491. 2 indexed citations
16.
Morikawa, Koji, et al.. (1999). A Study of Direct Fuel Injection Two-Stroke Engine for High Specific Power Output and High Engine Speed. SAE technical papers on CD-ROM/SAE technical paper series. 1. 11 indexed citations
17.
18.
Morikawa, Koji, Takeshi Furuhashi, & Y. Uchikawa. (1995). A Cooperative Scheduling Method with Genetic Algorithm for CIM. Transactions of the Society of Instrument and Control Engineers. 31(5). 606–614. 1 indexed citations
19.
Morikawa, Koji, et al.. (1993). LSI Assembly Line Scheduling using a Genetic Algorithm.. IEEJ Transactions on Industry Applications. 113(12). 1416–1422. 1 indexed citations
20.
Furuhashi, Takeshi, et al.. (1993). Controlling Excessive Fuzziness in a Fuzzy Classifier System. international conference on Genetic algorithms. 635. 5 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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