Ryohei Banno

532 total citations
36 papers, 340 citations indexed

About

Ryohei Banno is a scholar working on Computer Networks and Communications, Information Systems and Sociology and Political Science. According to data from OpenAlex, Ryohei Banno has authored 36 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Networks and Communications, 17 papers in Information Systems and 4 papers in Sociology and Political Science. Recurrent topics in Ryohei Banno's work include Caching and Content Delivery (30 papers), Peer-to-Peer Network Technologies (22 papers) and Blockchain Technology Applications and Security (9 papers). Ryohei Banno is often cited by papers focused on Caching and Content Delivery (30 papers), Peer-to-Peer Network Technologies (22 papers) and Blockchain Technology Applications and Security (9 papers). Ryohei Banno collaborates with scholars based in Japan and United States. Ryohei Banno's co-authors include Kazuyuki Shudo, Yusuke Aoki, Takeshi Kaneko, Susumu Takeuchi, Yuuichi Teranishi, Masahiro Fujita, Masato Matsuo, Susumu Takeuchi, Kyosuke Nishida and Ko Fujimura and has published in prestigious journals such as IEEE Open Journal of the Communications Society, IEICE Transactions on Communications and IEICE Transactions on Information and Systems.

In The Last Decade

Ryohei Banno

31 papers receiving 335 citations

Peers

Ryohei Banno

CNC

IS

AI

CVPR

EEE

Nguyen Trung Hieu Finland

Srivatsan Ravi United States

Miguel Matos Portugal

Xiang Fu China

Mehrdad Salimitari United States

Dimple Juneja India

Llorenç Cerdà‐Alabern Spain

Dejan Kovachev Germany

Rául Landa United Kingdom

Nguyen Trung Hieu Finland

Ryohei Banno

306 ×1.2

CNC

311 ×1.4

IS

32 ×0.8

AI

14 ×0.5

CVPR

23 ×0.9

EEE

Citations per year, relative to Ryohei Banno Ryohei Banno (= 1×) peers Nguyen Trung Hieu

Countries citing papers authored by Ryohei Banno

Since Specialization

Citations

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

Fields of papers citing papers by Ryohei Banno

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryohei Banno

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

All Works

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20 of 20 papers shown

1.

Banno, Ryohei. (2023). Performance Evaluation of MQTT Communication with Heterogeneous Traffic. 970–971.

2.

Shudo, Kazuyuki, Tsuyoshi Hasegawa, Akira Sakurai, & Ryohei Banno. (2023). Blockchain Network Studies Enabled by SimBlock. 1 indexed citations

3.

Kanno, Yuki & Ryohei Banno. (2023). A Comparative Study of Estimation of Video Viewer Emotion Using YouTube Video Comments. 2021-ICS-203. 1030–1033.

4.

Banno, Ryohei, et al.. (2023). A Method of Distributing Clients to MQTT Brokers Using Server Redirection. 87–90. 2 indexed citations

5.

Banno, Ryohei, et al.. (2022). Acceleration of MQTT-SN protocol using P4. 16–21. 4 indexed citations

6.

Banno, Ryohei, et al.. (2022). Implementation and Node Load Evaluation of Cloud-based Load Distribution Model in ICSN. 1–4. 1 indexed citations

7.

Banno, Ryohei, et al.. (2022). Performance and Security Evaluation of Table-Based Access Control Applied to IoT Data Distribution Method. IEICE Transactions on Communications. E105.B(11). 1390–1399. 1 indexed citations

8.

Shudo, Kazuyuki, et al.. (2021). Verification of Applying Plumtree Algorithm to Blockchain Networks. IEICE Technical Report; IEICE Tech. Rep.. 1 indexed citations

9.

Banno, Ryohei, et al.. (2021). Measuring Performance of MQTT v5.0 Brokers with MQTTLoader. 1–2. 10 indexed citations

10.

Banno, Ryohei, et al.. (2021). Exploiting semi-structured overlay networks in blockchain systems. IEICE Communications Express. 10(8). 447–450.

11.

Banno, Ryohei, et al.. (2020). Identifying Impacts of Protocol and Internet Development on the Bitcoin Network. 23 indexed citations

12.

Banno, Ryohei & Kazuyuki Shudo. (2019). Simulating a Blockchain Network with SimBlock. 3–4. 29 indexed citations

13.

Aoki, Yusuke, et al.. (2019). SimBlock: A Blockchain Network Simulator. 325–329. 90 indexed citations

14.

Aoki, Yusuke, et al.. (2019). Effects of a Simple Relay Network on the Bitcoin Network. 41–46. 24 indexed citations

15.

Banno, Ryohei, et al.. (2019). Interworking Layer of Distributed MQTT Brokers. IEICE Transactions on Information and Systems. E102.D(12). 2281–2294. 14 indexed citations

16.

Banno, Ryohei, et al.. (2017). Self-refining skip graph: Skip graph approaching to an ideal topology. 441–448. 3 indexed citations

17.

Banno, Ryohei, et al.. (2016). Self-Refining Skip Graph: A Structured Overlay Approaching to Ideal Skip Graph. 377–378. 1 indexed citations

18.

Teranishi, Yuuichi, et al.. (2016). Scalable Pub/Sub System Using OpenFlow Control. Journal of Information Processing. 24(4). 635–646. 8 indexed citations

19.

Banno, Ryohei, et al.. (2014). A Distributed Topic-Based Pub/Sub Method for Exhaust Data Streams towards Scalable Event-Driven Systems. 311–320. 7 indexed citations

20.

Teranishi, Yuuichi, et al.. (2014). Scalable and Locality-Aware Distributed Topic-Based Pub/Sub Messaging for IoT. 2015 IEEE Global Communications Conference (GLOBECOM). 1–7. 1 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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