Makoto Kunieda

13 total papers · 414 total citations
11 papers, 358 citations indexed

About

Makoto Kunieda is a scholar working on Mechanics of Materials, Ocean Engineering and Biomedical Engineering. According to data from OpenAlex, Makoto Kunieda has authored 11 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Mechanics of Materials, 4 papers in Ocean Engineering and 4 papers in Biomedical Engineering. Recurrent topics in Makoto Kunieda's work include Hydrocarbon exploration and reservoir analysis (6 papers), Enhanced Oil Recovery Techniques (4 papers) and Phase Equilibria and Thermodynamics (4 papers). Makoto Kunieda is often cited by papers focused on Hydrocarbon exploration and reservoir analysis (6 papers), Enhanced Oil Recovery Techniques (4 papers) and Phase Equilibria and Thermodynamics (4 papers). Makoto Kunieda collaborates with scholars based in Japan, Brazil and United States. Makoto Kunieda's co-authors include Toshifumi Matsuoka, Yunfeng Liang, Satoru Takahashi, Hiroshi Okabe, Caetano R. Miranda, Akira Ueda, Winoto Winoto, Norman R. Morrow, Yasuhiro Fukunaka and Koichi Takamura and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Chemical Physics and Energy & Fuels.

In The Last Decade

Makoto Kunieda

11 papers receiving 352 citations

Author Peers

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

Author						Papers	Cites
Makoto Kunieda	226	187	121	81	71	11	358
Mateus Fontana Michelon	139 0.6×	109 0.6×	65 0.5×	50 0.6×	27 0.4×	14	330
Gina Javanbakht	271 1.2×	182 1.0×	131 1.1×	56 0.7×	120 1.7×	7	391
Thu Le	88 0.4×	141 0.8×	26 0.2×	112 1.4×	74 1.0×	12	403
M. Henry	103 0.5×	128 0.7×	46 0.4×	60 0.7×	18 0.3×	12	364
M. Bavière	192 0.8×	59 0.3×	100 0.8×	21 0.3×	45 0.6×	17	351
Pavel Spirov	151 0.7×	174 0.9×	127 1.0×	135 1.7×	48 0.7×	24	365
T. Okazawa	228 1.0×	139 0.7×	71 0.6×	53 0.7×	38 0.5×	24	339
Lihu Zhang	109 0.5×	142 0.8×	30 0.2×	23 0.3×	86 1.2×	6	333
Dawoud Al Mahrouqi	203 0.9×	158 0.8×	42 0.3×	36 0.4×	43 0.6×	7	369
Luchao Jin	204 0.9×	155 0.8×	111 0.9×	44 0.5×	19 0.3×	18	353

Countries citing papers authored by Makoto Kunieda

Since Specialization

Citations

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

Fields of papers citing papers by Makoto Kunieda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Kunieda

This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Kunieda. A scholar is included among the top collaborators of Makoto Kunieda 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 Makoto Kunieda. Makoto Kunieda 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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