Hideto Yokoi

82 total papers · 840 total citations
44 papers, 341 citations indexed

About

Hideto Yokoi is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Hideto Yokoi has authored 44 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 13 papers in Molecular Biology and 13 papers in Information Systems. Recurrent topics in Hideto Yokoi's work include Data Mining Algorithms and Applications (13 papers), Biomedical Text Mining and Ontologies (11 papers) and Time Series Analysis and Forecasting (9 papers). Hideto Yokoi is often cited by papers focused on Data Mining Algorithms and Applications (13 papers), Biomedical Text Mining and Ontologies (11 papers) and Time Series Analysis and Forecasting (9 papers). Hideto Yokoi collaborates with scholars based in Japan and Czechia. Hideto Yokoi's co-authors include Katsuhiko Takabayashi, Miho Ohsaki, Takahira Yamaguchi, Einoshin Suzuki, Shusaku Tsumoto, Yoshiaki Uyama, Michio Kimura, Naoki Nakashima, Kazuhiko Ohe and Takaaki Suzuki and has published in prestigious journals such as Scientific Reports, Journal of Pain and Symptom Management and Applied Sciences.

In The Last Decade

Hideto Yokoi

42 papers receiving 322 citations

Author Peers

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

Author						Papers	Cites
Hideto Yokoi	123	79	65	54	50	44	341
Maryam Zolnoori	143 1.2×	23 0.3×	14 0.2×	60 1.1×	10 0.2×	53	375
Milan Vukičević	170 1.4×	83 1.1×	11 0.2×	44 0.8×	16 0.3×	27	403
Barbara Oliboni	151 1.2×	134 1.7×	94 1.4×	54 1.0×	24 0.5×	39	382
Simona Rabinovici‐Cohen	130 1.1×	76 1.0×	19 0.3×	76 1.4×	22 0.4×	20	335
Tanya Podchiyska	169 1.4×	23 0.3×	6 0.1×	128 2.4×	37 0.7×	10	385
Rui Almeida	89 0.7×	22 0.3×	20 0.3×	30 0.6×	24 0.5×	56	338
Giorgio Leonardi	186 1.5×	89 1.1×	18 0.3×	53 1.0×	9 0.2×	31	337
Gang Hu	89 0.7×	50 0.6×	21 0.3×	44 0.8×	8 0.2×	33	376
Jorge R Herskovic	138 1.1×	55 0.7×	7 0.1×	130 2.4×	10 0.2×	20	298
Pedro Barahona	133 1.1×	20 0.3×	33 0.5×	55 1.0×	77 1.5×	43	335

Countries citing papers authored by Hideto Yokoi

Since Specialization

Citations

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

Fields of papers citing papers by Hideto Yokoi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideto Yokoi

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