Hiroki Iwata

1.3k total citations
13 papers, 1.0k citations indexed

About

Hiroki Iwata is a scholar working on Economics and Econometrics, Computer Networks and Communications and Computational Mechanics. According to data from OpenAlex, Hiroki Iwata has authored 13 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Economics and Econometrics, 5 papers in Computer Networks and Communications and 3 papers in Computational Mechanics. Recurrent topics in Hiroki Iwata's work include Energy, Environment, Economic Growth (6 papers), Climate Change Policy and Economics (5 papers) and Cognitive Radio Networks and Spectrum Sensing (4 papers). Hiroki Iwata is often cited by papers focused on Energy, Environment, Economic Growth (6 papers), Climate Change Policy and Economics (5 papers) and Cognitive Radio Networks and Spectrum Sensing (4 papers). Hiroki Iwata collaborates with scholars based in Japan, Finland and United Kingdom. Hiroki Iwata's co-authors include Keisuke Okada, Sovannroeun Samreth, Kenta Umebayashi, Kaoru Masuda, Miguel López‐Benítez, Janne Lehtomäki, Johanna Vartiainen, Song Guo, Deze Zeng and Toshiaki Miyazaki and has published in prestigious journals such as Applied Energy, Energy Policy and IEEE Access.

In The Last Decade

Hiroki Iwata

13 papers receiving 985 citations

Peers

Hiroki Iwata

EE

RESE

EE

MARKE

SM

Xiaohua Sun China

Xiujie Tan China

Hongtao Chen China

Erik Hille Germany

Liu Weili China

Jafar Hussain China

Yu Qian China

Yu Hao China

En‐Ze Wang China

Jingbo Cui China

Xiaohua Sun China

Hiroki Iwata

631 ×0.9

EE

333 ×0.8

RESE

212 ×0.8

EE

199 ×0.8

MARKE

172 ×0.7

SM

Citations per year, relative to Hiroki Iwata Hiroki Iwata (= 1×) peers Xiaohua Sun

Countries citing papers authored by Hiroki Iwata

Since Specialization

Citations

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

Fields of papers citing papers by Hiroki Iwata

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroki Iwata

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroki Iwata. A scholar is included among the top collaborators of Hiroki Iwata 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 Hiroki Iwata. Hiroki Iwata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

1.

Umebayashi, Kenta, et al.. (2023). Spectrum Occupancy Prediction based on adaptive Recurrent Neural Networks. University of Oulu Repository (University of Oulu). 1–6. 9 indexed citations

2.

Umebayashi, Kenta, et al.. (2021). Feature-Based Deep Neural Networks for Short-Term Prediction of WiFi Channel Occupancy Rate. IEEE Access. 9. 85645–85660. 8 indexed citations

3.

Iwata, Hiroki, et al.. (2021). High-Efficiency FCME-Based Noise Power Estimation for Long-Term and Wide-Band Spectrum Measurements. IEEE Access. 9. 149883–149893. 3 indexed citations

4.

Iwata, Hiroki. (2020). Effects of competition forms and market structure on green innovation incentives. MPRA Paper. 1 indexed citations

5.

Iwata, Hiroki, et al.. (2018). Neural Network-based Channel Occupancy Rate Prediction. IEICE Technical Report; IEICE Tech. Rep.. 118(274). 75–82. 1 indexed citations

6.

Umebayashi, Kenta, Hiroki Iwata, Janne Lehtomäki, & Miguel López‐Benítez. (2017). Study on simple signal area estimation for efficient spectrum measurements. University of Oulu Repository (University of Oulu). 1–5. 4 indexed citations

7.

Miyazaki, Toshiaki, Hiroki Iwata, Koji Kobayashi, et al.. (2014). DASN. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–7. 1 indexed citations

8.

Iwata, Hiroki & Keisuke Okada. (2012). Greenhouse gas emissions and the role of the Kyoto Protocol. Environmental Economics and Policy Studies. 16(4). 325–342. 97 indexed citations

9.

Iwata, Hiroki, Keisuke Okada, & Sovannroeun Samreth. (2011). Empirical study on the determinants of CO₂emissions: evidence from OECD countries. Applied Economics. 44(27). 3513–3519. 143 indexed citations

10.

Iwata, Hiroki & Keisuke Okada. (2011). How does environmental performance affect financial performance? Evidence from Japanese manufacturing firms. Ecological Economics. 70(9). 1691–1700. 287 indexed citations

11.

Iwata, Hiroki, Keisuke Okada, & Sovannroeun Samreth. (2010). A note on the environmental Kuznets curve for CO2: A pooled mean group approach. Applied Energy. 88(5). 1986–1996. 122 indexed citations

12.

Iwata, Hiroki, Keisuke Okada, & Sovannroeun Samreth. (2010). Empirical study on the environmental Kuznets curve for CO2 in France: The role of nuclear energy. Energy Policy. 38(8). 4057–4063. 348 indexed citations

13.

Masuda, Kaoru & Hiroki Iwata. (1990). Dewatering of particulate materials utilizing highly water-absorptive polymer. Powder Technology. 63(2). 113–119. 10 indexed citations

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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