Takashi Seo

108 total papers · 664 total citations
77 papers, 459 citations indexed

About

Takashi Seo is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Takashi Seo has authored 77 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Statistics and Probability, 16 papers in Artificial Intelligence and 10 papers in Management Science and Operations Research. Recurrent topics in Takashi Seo's work include Advanced Statistical Methods and Models (39 papers), Statistical Methods and Bayesian Inference (38 papers) and Statistical Methods and Inference (31 papers). Takashi Seo is often cited by papers focused on Advanced Statistical Methods and Models (39 papers), Statistical Methods and Bayesian Inference (38 papers) and Statistical Methods and Inference (31 papers). Takashi Seo collaborates with scholars based in Japan, Sweden and Poland. Takashi Seo's co-authors include Yasunori Fujikoshi, Yosihito Maruyama, Sadao Tomizawa, Minoru Siotani, Takashi Kanda, Zofia Hanusz, Y. Fujikoshi, Muni S. Srivastava, Ayako Hara and Naoya Okamoto and has published in prestigious journals such as Journal of the American Statistical Association, Journal of Multivariate Analysis and Journal of Statistical Planning and Inference.

In The Last Decade

Takashi Seo

68 papers receiving 435 citations

Author Peers

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

Author						Papers	Cites
Takashi Seo	361	112	64	30	28	77	459
Domenico Perrotta	235 0.7×	122 1.1×	22 0.3×	87 2.9×	38 1.4×	43	470
Xin Dang	141 0.4×	190 1.7×	69 1.1×	49 1.6×	38 1.4×	43	454
Aurea Grané	192 0.5×	87 0.8×	52 0.8×	38 1.3×	77 2.8×	50	407
Lu Lin	409 1.1×	88 0.8×	35 0.5×	28 0.9×	18 0.6×	55	499
Ansgar Steland	208 0.6×	64 0.6×	45 0.7×	146 4.9×	74 2.6×	72	411
Pengfei Li	339 0.9×	202 1.8×	91 1.4×	24 0.8×	11 0.4×	55	502
Huazhen Lin	313 0.9×	104 0.9×	25 0.4×	25 0.8×	14 0.5×	60	532
Yongsong Qin	247 0.7×	155 1.4×	40 0.6×	21 0.7×	21 0.8×	62	474
Minh‐Ngoc Tran	234 0.6×	220 2.0×	41 0.6×	22 0.7×	57 2.0×	39	404
Nengxiang Ling	372 1.0×	183 1.6×	127 2.0×	20 0.7×	72 2.6×	36	450

Countries citing papers authored by Takashi Seo

Since Specialization

Citations

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

Fields of papers citing papers by Takashi Seo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takashi Seo

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