Seiji Munetoh

829 total citations
13 papers, 61 citations indexed

About

Seiji Munetoh is a scholar working on Information Systems, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Seiji Munetoh has authored 13 papers receiving a total of 61 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Information Systems, 7 papers in Electrical and Electronic Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Seiji Munetoh's work include Advanced Memory and Neural Computing (3 papers), Web Application Security Vulnerabilities (3 papers) and Access Control and Trust (3 papers). Seiji Munetoh is often cited by papers focused on Advanced Memory and Neural Computing (3 papers), Web Application Security Vulnerabilities (3 papers) and Access Control and Trust (3 papers). Seiji Munetoh collaborates with scholars based in Japan, United States and Switzerland. Seiji Munetoh's co-authors include Masahide Nakamura, Hiroshi Maruyama, Nobukazu Yoshioka, Mineichi Kudo, T. Kirihata, Bing Ji, Kohji Hosokawa, M.R. Wordeman, Haruhiko Kaiya and Jinwook Jung and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and IBM Journal of Research and Development.

In The Last Decade

Seiji Munetoh

13 papers receiving 60 citations

Peers

Seiji Munetoh

AI

IS

CNC

SPS

EEE

Andreas Pashalidis Belgium

Peter Bühler Germany

Lucjan Hanzlik Germany

Florian Kohlar Germany

Uri Blumenthal United States

Benjamin Wesolowski France

R. Kuesters China

Sven Schäge Germany

A. Singer United States

Elizabeth A. Quaglia United Kingdom

Andreas Pashalidis Belgium

Seiji Munetoh

42 ×1.0

AI

43 ×1.2

IS

31 ×2.1

CNC

15 ×1.3

SPS

9 ×0.8

EEE

Citations per year, relative to Seiji Munetoh Seiji Munetoh (= 1×) peers Andreas Pashalidis

Countries citing papers authored by Seiji Munetoh

Since Specialization

Citations

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

Fields of papers citing papers by Seiji Munetoh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seiji Munetoh

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

Ambrogio, Stefano, Pritish Narayanan, Charles Mackin, et al.. (2025). Demonstration of transformer-based ALBERT model on a 14nm analog AI inference chip. Nature Communications. 16(1). 8661–8661. 1 indexed citations

2.

Matsumoto, Keiji, et al.. (2024). Democratizing Microreactor Technology for Accelerated Discoveries in Chemistry and Materials Research. Micromachines. 15(9). 1064–1064. 2 indexed citations

3.

Agrawal, Ankur, Monodeep Kar, Kyu Hyun Kim, et al.. (2023). A Switched-Capacitor Integer Compute Unit with Decoupled Storage and Arithmetic for Cloud AI Inference in 5nm CMOS. 1–2. 2 indexed citations

4.

Ishii, Masatoshi, Malte J. Rasch, Wanki Kim, et al.. (2022). Pattern Training, Inference, and Regeneration Demonstration Using On‐Chip Trainable Neuromorphic Chips for Spiking Restricted Boltzmann Machine. SHILAP Revista de lepidopterología. 4(8). 5 indexed citations

5.

Hazeyama, Atsuo, S. Tanaka, Takafumi Tanaka, et al.. (2018). Security Requirement Modeling Support System Using Software Security Knowledge Base. 234–239. 2 indexed citations

6.

Munetoh, Seiji, et al.. (2014). Advanced security and privacy in connected vehicles. IBM Journal of Research and Development. 58(1). 7:1–7:9. 2 indexed citations

7.

Munetoh, Seiji & Nobukazu Yoshioka. (2013). Model-Assisted Access Control Implementation for Code-centric Ruby-on-Rails Web Application Development. 350–359. 4 indexed citations

8.

Munetoh, Seiji & Nobukazu Yoshioka. (2013). RAILROADMAP: An Agile Security Testing Framework for Web-application Development. 491–492. 1 indexed citations

9.

Munetoh, Seiji, et al.. (2008). Integrity Management Infrastructure for Trusted Computing. IEICE Transactions on Information and Systems. E91-D(5). 1242–1251. 4 indexed citations

10.

Munetoh, Seiji, et al.. (2007). Designing a trust chain for a thin client on a live Linux cd. 1605–1606. 5 indexed citations

11.

Nakamura, Masahide, et al.. (2005). WS-attestation: efficient and fine-grained remote attestation on Web services. 28 indexed citations

12.

Ji, Bing, et al.. (2004). Destructive-read random access memory system buffered with destructive-read memory cache for SoC applications. 85–88. 3 indexed citations

13.

Luk, W.K., Y. Katayama, Wei Hwang, et al.. (1997). Development of a high bandwidth merged logic/DRAM multimedia chip. 279–285. 2 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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