Koichi Nakata

38 total papers · 1.0k total citations
31 papers, 866 citations indexed

About

Koichi Nakata is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Automotive Engineering. According to data from OpenAlex, Koichi Nakata has authored 31 papers receiving a total of 866 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Fluid Flow and Transfer Processes, 15 papers in Computational Mechanics and 14 papers in Automotive Engineering. Recurrent topics in Koichi Nakata's work include Advanced Combustion Engine Technologies (29 papers), Vehicle emissions and performance (13 papers) and Combustion and flame dynamics (13 papers). Koichi Nakata is often cited by papers focused on Advanced Combustion Engine Technologies (29 papers), Vehicle emissions and performance (13 papers) and Combustion and flame dynamics (13 papers). Koichi Nakata collaborates with scholars based in Japan, United States and United Kingdom. Koichi Nakata's co-authors include Takashi Kawai, Gautam Kalghatgi, Makoto Koike, Magnus Sjöberg, David Vuilleumier, Namho Kim, Terutoshi Tomoda, Manabu Watanabe, Jonathan S. Williams and Craig L. Goodfellow and has published in prestigious journals such as SAE technical papers on CD-ROM/SAE technical paper series, Proceedings of the Combustion Institute and IEEE Transactions on Plasma Science.

In The Last Decade

Koichi Nakata

30 papers receiving 791 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Koichi Nakata	779	472	340	317	201	31	866
Teruyuki Itoh	773 1.0×	608 1.3×	217 0.6×	324 1.0×	159 0.8×	27	857
Yoann Viollet	746 1.0×	534 1.1×	288 0.8×	328 1.0×	143 0.7×	28	806
Shin Matsuoka	615 0.8×	406 0.9×	245 0.7×	238 0.8×	79 0.4×	50	716
Yong Sun	625 0.8×	436 0.9×	263 0.8×	291 0.9×	86 0.4×	15	717
Lucien Koopmans	746 1.0×	545 1.2×	215 0.6×	370 1.2×	113 0.6×	33	828
Marcis Jansons	628 0.8×	383 0.8×	319 0.9×	223 0.7×	112 0.6×	46	706
Stephen Busch	665 0.9×	466 1.0×	245 0.7×	267 0.8×	93 0.5×	45	755
Jess Gingrich	635 0.8×	311 0.7×	163 0.5×	333 1.1×	146 0.7×	23	742
Barrett Mangold	641 0.8×	349 0.7×	158 0.5×	294 0.9×	168 0.8×	15	705
Sheshadri Sreedhara	612 0.8×	535 1.1×	225 0.7×	176 0.6×	128 0.6×	54	818

Countries citing papers authored by Koichi Nakata

Since Specialization

Citations

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

Fields of papers citing papers by Koichi Nakata

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koichi Nakata

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

All Works

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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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