Tatsuya Ibuki

103 total papers · 441 total citations
57 papers, 297 citations indexed

About

Tatsuya Ibuki is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Tatsuya Ibuki has authored 57 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Control and Systems Engineering, 21 papers in Computer Vision and Pattern Recognition and 17 papers in Computer Networks and Communications. Recurrent topics in Tatsuya Ibuki's work include Adaptive Control of Nonlinear Systems (23 papers), Distributed Control Multi-Agent Systems (17 papers) and Robotic Path Planning Algorithms (12 papers). Tatsuya Ibuki is often cited by papers focused on Adaptive Control of Nonlinear Systems (23 papers), Distributed Control Multi-Agent Systems (17 papers) and Robotic Path Planning Algorithms (12 papers). Tatsuya Ibuki collaborates with scholars based in Japan, United States and Belgium. Tatsuya Ibuki's co-authors include Mitsuji Sampei, Masayuki Fujita, Takeshi Hatanaka, Magnus Egerstedt, Sean Wilson, Mark W. Spong, Abhijit Chatterjee, Kohei Tahara, Kazuma Sekiguchi and Seisuke Kimura and has published in prestigious journals such as SHILAP Revista de lepidopterología, Automatica and IEEE Access.

In The Last Decade

Tatsuya Ibuki

46 papers receiving 294 citations

Author Peers

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

Author						Papers	Cites
Tatsuya Ibuki	144	106	84	78	50	57	297
Günyaz Ablay	163 1.1×	47 0.4×	44 0.5×	51 0.7×	18 0.4×	36	320
Xiaomei Xie	208 1.4×	125 1.2×	55 0.7×	96 1.2×	28 0.6×	36	332
Guangyu Zhang	162 1.1×	66 0.6×	149 1.8×	133 1.7×	54 1.1×	38	339
Paulo Leica	196 1.4×	79 0.7×	79 0.9×	27 0.3×	53 1.1×	50	287
Chao Zhou	254 1.8×	101 1.0×	15 0.2×	81 1.0×	33 0.7×	27	301
Ubirajara F. Moreno	185 1.3×	83 0.8×	50 0.6×	25 0.3×	36 0.7×	53	325
Hossein Rastgoftar	73 0.5×	149 1.4×	87 1.0×	93 1.2×	51 1.0×	64	272
Piotr Kozierski	124 0.9×	52 0.5×	73 0.9×	84 1.1×	26 0.5×	45	272
Fuguang Ding	236 1.6×	60 0.6×	103 1.2×	90 1.2×	30 0.6×	43	363
Leszek Ambroziak	121 0.8×	97 0.9×	114 1.4×	195 2.5×	20 0.4×	48	316

Countries citing papers authored by Tatsuya Ibuki

Since Specialization

Citations

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

Fields of papers citing papers by Tatsuya Ibuki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tatsuya Ibuki

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