Akito Sakurai

85 total papers · 536 total citations
35 papers, 302 citations indexed

About

Akito Sakurai is a scholar working on Artificial Intelligence, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, Akito Sakurai has authored 35 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 12 papers in Management Science and Operations Research and 8 papers in Economics and Econometrics. Recurrent topics in Akito Sakurai's work include Stock Market Forecasting Methods (11 papers), Market Dynamics and Volatility (5 papers) and Topic Modeling (4 papers). Akito Sakurai is often cited by papers focused on Stock Market Forecasting Methods (11 papers), Market Dynamics and Volatility (5 papers) and Topic Modeling (4 papers). Akito Sakurai collaborates with scholars based in Japan, United States and United Kingdom. Akito Sakurai's co-authors include Yasutaka Narazaki, Yozo Fujino, Vedhus Hoskere, Tu A. Hoang, Billie F. Spencer, Koichi Maekawa, Yasushi Tanaka, Yoshihiko Suhara, Hiroyuki Toda and Yizhou Sun and has published in prestigious journals such as Communications of the ACM, IEEE Access and Energies.

In The Last Decade

Akito Sakurai

28 papers receiving 290 citations

Author Peers

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

Author						Papers	Cites
Akito Sakurai	122	102	73	69	51	35	302
Manfred Grauer	124 1.0×	15 0.1×	32 0.4×	58 0.8×	16 0.3×	53	360
Jui‐Chung Hung	112 0.9×	10 0.1×	77 1.1×	95 1.4×	59 1.2×	37	327
Jianbin Zhao	134 1.1×	49 0.5×	12 0.2×	62 0.9×	12 0.2×	18	298
Shih-Yung Wei	96 0.8×	24 0.2×	38 0.5×	72 1.0×	8 0.2×	21	316
Xiaojing Li	31 0.3×	5 0.0×	23 0.3×	45 0.7×	23 0.5×	36	347
Ahmed Elhakeem	140 1.1×	71 0.7×	10 0.1×	30 0.4×	6 0.1×	28	355
Ramazan Ünlü	39 0.3×	18 0.2×	15 0.2×	76 1.1×	6 0.1×	28	266
Nikolaos Bakas	25 0.2×	108 1.1×	64 0.9×	35 0.5×	5 0.1×	39	341
Shengwang Meng	103 0.8×	11 0.1×	117 1.6×	68 1.0×	18 0.4×	21	310
Mehdi Abbasi	172 1.4×	13 0.1×	41 0.6×	27 0.4×	21 0.4×	30	358

Countries citing papers authored by Akito Sakurai

Since Specialization

Citations

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

Fields of papers citing papers by Akito Sakurai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akito Sakurai

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