Genya Kobayashi

41 total papers · 683 total citations
17 papers, 426 citations indexed

About

Genya Kobayashi is a scholar working on Statistics and Probability, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, Genya Kobayashi has authored 17 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistics and Probability, 7 papers in Artificial Intelligence and 5 papers in Economics and Econometrics. Recurrent topics in Genya Kobayashi's work include Statistical Methods and Inference (7 papers), Bayesian Methods and Mixture Models (5 papers) and Statistical Methods and Bayesian Inference (3 papers). Genya Kobayashi is often cited by papers focused on Statistical Methods and Inference (7 papers), Bayesian Methods and Mixture Models (5 papers) and Statistical Methods and Bayesian Inference (3 papers). Genya Kobayashi collaborates with scholars based in Japan, South Korea and United States. Genya Kobayashi's co-authors include Hideo Kozumi, Shonosuke Sugasawa, David M. Sasaki, C. C. Christensen, Taeryon Choi, Yuki Kawakubo and Minhyeok Kim and has published in prestigious journals such as Journal of Business and Economic Statistics, Computational Statistics & Data Analysis and Statistics and Computing.

In The Last Decade

Genya Kobayashi

16 papers receiving 414 citations

Author Peers

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

Author						Papers	Cites
Genya Kobayashi	247	165	79	44	32	17	426
Satya N. Mishra	162 0.7×	64 0.4×	42 0.5×	20 0.5×	45 1.4×	24	490
Wangli Xu	266 1.1×	76 0.5×	32 0.4×	20 0.5×	23 0.7×	69	465
Joyee Ghosh	180 0.7×	134 0.8×	41 0.5×	13 0.3×	30 0.9×	26	464
Axel Gandy	108 0.4×	36 0.2×	61 0.8×	57 1.3×	25 0.8×	44	418
Sophie Donnet	110 0.4×	91 0.6×	24 0.3×	29 0.7×	19 0.6×	27	408
Matthew A. Taddy	105 0.4×	192 1.2×	41 0.5×	22 0.5×	45 1.4×	12	398
Michael Levine	138 0.6×	70 0.4×	20 0.3×	27 0.6×	27 0.8×	26	384
David H. Annis	93 0.4×	53 0.3×	113 1.4×	11 0.3×	43 1.3×	22	460
M. B. Rajarshi	268 1.1×	77 0.5×	26 0.3×	68 1.5×	42 1.3×	31	392
Nicola Sartori	295 1.2×	72 0.4×	75 0.9×	27 0.6×	34 1.1×	39	421

Countries citing papers authored by Genya Kobayashi

Since Specialization

Citations

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

Fields of papers citing papers by Genya Kobayashi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Genya Kobayashi

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