Y. Fujikoshi

30 total papers · 427 total citations
20 papers, 276 citations indexed

About

Y. Fujikoshi is a scholar working on Statistics and Probability, Artificial Intelligence and Applied Mathematics. According to data from OpenAlex, Y. Fujikoshi has authored 20 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Statistics and Probability, 9 papers in Artificial Intelligence and 3 papers in Applied Mathematics. Recurrent topics in Y. Fujikoshi's work include Bayesian Methods and Mixture Models (9 papers), Advanced Statistical Methods and Models (7 papers) and Statistical Distribution Estimation and Applications (7 papers). Y. Fujikoshi is often cited by papers focused on Bayesian Methods and Mixture Models (9 papers), Advanced Statistical Methods and Models (7 papers) and Statistical Distribution Estimation and Applications (7 papers). Y. Fujikoshi collaborates with scholars based in Japan, United States and Russia. Y. Fujikoshi's co-authors include Takashi Kanda, Takashi Seo, W.J. Schull, Masanori Ôtake, Vladimir V. Ulyanov, Ryoichi Shimizu, Shunsuke Izumi, Arjun K. Gupta, Takeaki Kariya and P. R. Krishnaiah and has published in prestigious journals such as Biometrika, Radiation Research and Journal of Multivariate Analysis.

In The Last Decade

Y. Fujikoshi

18 papers receiving 240 citations

Author Peers

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

Author						Papers	Cites
Y. Fujikoshi	184	58	30	28	19	20	276
Christophe Crambes	221 1.2×	84 1.4×	16 0.5×	12 0.4×	16 0.8×	15	277
Somesh Das Gupta	165 0.9×	47 0.8×	15 0.5×	38 1.4×	25 1.3×	24	293
Yoshihiko Konno	248 1.3×	60 1.0×	8 0.3×	28 1.0×	36 1.9×	28	289
Klaus J. Utikal	146 0.8×	76 1.3×	13 0.4×	13 0.5×	19 1.0×	11	235
A. W. Bowman	205 1.1×	44 0.8×	12 0.4×	30 1.1×	29 1.5×	7	301
Alexandre G. Patriota	160 0.9×	80 1.4×	7 0.2×	26 0.9×	10 0.5×	32	273
Neyko Neykov	183 1.0×	97 1.7×	19 0.6×	20 0.7×	15 0.8×	14	306
Marcela Svarc	76 0.4×	101 1.7×	18 0.6×	13 0.5×	13 0.7×	15	253
C. B. Bell	142 0.8×	63 1.1×	8 0.3×	38 1.4×	35 1.8×	24	250
Hermann Witting	156 0.8×	55 0.9×	6 0.2×	43 1.5×	45 2.4×	16	307

Countries citing papers authored by Y. Fujikoshi

Since Specialization

Citations

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

Fields of papers citing papers by Y. Fujikoshi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y. Fujikoshi

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