Tomoyuki Aotani

434 total citations
40 papers, 265 citations indexed

About

Tomoyuki Aotani is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Tomoyuki Aotani has authored 40 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 20 papers in Computer Networks and Communications and 13 papers in Information Systems. Recurrent topics in Tomoyuki Aotani's work include Advanced Software Engineering Methodologies (29 papers), Distributed systems and fault tolerance (14 papers) and Logic, programming, and type systems (14 papers). Tomoyuki Aotani is often cited by papers focused on Advanced Software Engineering Methodologies (29 papers), Distributed systems and fault tolerance (14 papers) and Logic, programming, and type systems (14 papers). Tomoyuki Aotani collaborates with scholars based in Japan, United States and Denmark. Tomoyuki Aotani's co-authors include Hidehiko Masuhara, Kazuyuki Kubo, Tsutomu Mizuta, Katsuhiko Miyoshi, Yuki Imamura, Tetsuo Tamai, Atsushi Igarashi, Naoya Murakami, Masato Suzuki and Lin Wang and has published in prestigious journals such as Organometallics, Science of Computer Programming and Journal of International Crisis and Risk Communication Research.

In The Last Decade

Tomoyuki Aotani

35 papers receiving 260 citations

Peers

Tomoyuki Aotani
Abhinav Jangda United States
Ennan Zhai United States
Aseem Rastogi United Kingdom
Chris Laffra United States
Gregg M. Townsend United States
Manuel Rigger Singapore
Abhinav Jangda United States
Tomoyuki Aotani
Citations per year, relative to Tomoyuki Aotani Tomoyuki Aotani (= 1×) peers Abhinav Jangda

Countries citing papers authored by Tomoyuki Aotani

Since Specialization
Citations

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

Fields of papers citing papers by Tomoyuki Aotani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoyuki Aotani

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

All Works

20 of 20 papers shown
1.
Aotani, Tomoyuki, et al.. (2022). BatakJava: An Object-Oriented Programming Language with Versions. 222–234.
2.
Aotani, Tomoyuki, et al.. (2019). An approach for persistent time-varying values. 17–31.
3.
Aotani, Tomoyuki, et al.. (2019). TinyCORP. 1–8. 3 indexed citations
4.
Aotani, Tomoyuki, et al.. (2018). Method safety mechanism for asynchronous layer deactivation. Science of Computer Programming. 156. 104–120. 4 indexed citations
5.
Inoue, Hiroaki, Tomoyuki Aotani, & Atsushi Igarashi. (2018). ContextWorkflow: A Monadic DSL for Compensable and Interruptible Executions. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 1 indexed citations
6.
Aotani, Tomoyuki, et al.. (2018). A Context-Oriented Programming Approach to Dependency Hell. 8–14. 3 indexed citations
7.
Aotani, Tomoyuki, et al.. (2018). Harmonizing Signals and Events with a Lightweight Extension to Java. arXiv (Cornell University). 2(3). 10 indexed citations
8.
Masuhara, Hidehiko, et al.. (2017). Live Data Structure Programming. 1–7. 4 indexed citations
9.
Masuhara, Hidehiko, et al.. (2016). Proof of Soundness of Concurrent Separation Logic for GPGPU in Coq. Journal of Information Processing. 24(1). 132–140. 2 indexed citations
10.
Masuhara, Hidehiko, et al.. (2015). Shiranui: a live programming with support for unit testing. 36–37. 3 indexed citations
11.
Aotani, Tomoyuki, et al.. (2015). Method Safety Mechanism for Asynchronous Layer Deactivation. 1–6. 1 indexed citations
12.
Aotani, Tomoyuki, et al.. (2015). Generalized layer activation mechanism through contexts and subscribers. 14–28. 12 indexed citations
13.
Aotani, Tomoyuki, et al.. (2014). Context-oriented software engineering. 85–98. 10 indexed citations
14.
Murakami, Naoya, Hidehiko Masuhara, & Tomoyuki Aotani. (2014). Code recommendation based on a degree-of-interest model. 28–29. 5 indexed citations
15.
Aotani, Tomoyuki, et al.. (2014). Unifying Multiple Layer Activation Mechanisms Using One Event Sequence. 1–6. 10 indexed citations
16.
Aotani, Tomoyuki, et al.. (2013). A core calculus of composite layers. 7–12. 8 indexed citations
17.
Aotani, Tomoyuki, et al.. (2013). Feature selection for clustering based aspect mining. 7–7. 1 indexed citations
18.
Aotani, Tomoyuki, et al.. (2011). Featherweight EventCJ. 1–7. 18 indexed citations
19.
Aotani, Tomoyuki, et al.. (2011). EventCJ. 253–264. 65 indexed citations
20.
Aotani, Tomoyuki & Hidehiko Masuhara. (2007). Towards a type system for detecting never-matching pointcut compositions. 23–26. 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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