Reiko Aoki

1.2k citations
59 papers · 638 · h-index 14

Impact in

Papers in

    • Advanced Statistical Methods and Models 16
    • Statistical Methods and Inference 10
    • Statistical Methods and Bayesian Inference 10
    • Statistical Distribution Estimation and Applications 6
    • Innovation Policy and R&D 13
    • Pharmaceutical Economics and Policy 10

Reiko Aoki

55 papers receiving 589 citations

Peers

Reiko Aoki
Comparison fields: 5 of 112
  • Management of Technology and Innovation 103
  • Statistics and Probability 111
  • Economics and Econometrics 212
  • Strategy and Management 97
  • General Economics, Econometrics and Finance 54
Replace Ana Paula Faria with:
Ana Paula Faria Portugal
Jyotirmoy Sarkar United States
Muhammad Ijaz Pakistan
Xindi Wang China
Pablo Marshall Chile
José Carlos de Toledo Brazil
Sanjay Arora United States
Hong‐Yi Chen United States
Johannes Leitner Austria
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Citations per field
00.5×6.9×
Ana Paula Faria · 1×
Citations per year

Countries citing papers authored by Reiko Aoki

Since Specialization
Citations

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

Fields of papers citing papers by Reiko Aoki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Reiko Aoki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Reiko Aoki Line = papers co-authored together Reiko Aoki links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199780
2 202047
3 199643
4
R&D Competition for Product Innovation: An Endless Race
199142
5 197936
6 200834
7 202132
8 200923
9 199322
10 200321
11 200118
12 201016
13 200313
14 199913
15 199212
16 201312
17 200111
18 200310
19 200310
20 200710

About Reiko Aoki

Reiko Aoki is a scholar working on Statistics and Probability, Economics and Econometrics, Management of Technology and Innovation, Statistics, Probability and Uncertainty and Analytical Chemistry, having authored 59 papers that have together received 638 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (16 papers), Intellectual Property and Patents (15 papers), Innovation Policy and R&D (13 papers), Statistical Methods and Inference (10 papers), Statistical Methods and Bayesian Inference (10 papers), Pharmaceutical Economics and Policy (10 papers), Statistical Distribution Estimation and Applications (6 papers) and Advanced Statistical Process Monitoring (5 papers). The work is most often cited by research in Management of Technology and Innovation (103 citations), Statistics and Probability (111 citations), Economics and Econometrics (212 citations), Strategy and Management (97 citations) and General Economics, Econometrics and Finance (54 citations). Reiko Aoki has collaborated with scholars based in Japan, Brazil and United States. Frequent co-authors include Thomas J. Prusa, Hironobu Kunieda, Yossi Spiegel, Ryo Higuchi, Tomohiro Yokozeki, Gilberto A. Paula, Tomonaga Okabe, Cibele M. Russo, Heleno Bolfarine and Júlio M. Singer. Their work appears in journals such as Statistical Papers, Computational Statistics & Data Analysis, Information Economics and Policy, Test and Journal of Biopharmaceutical Statistics.

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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