T. Maeno
Impact in
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- Scientific Computing and Data Management
- Big Data Technologies and Applications
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- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
Papers in
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- Scientific Computing and Data Management 32
- Big Data Technologies and Applications 6
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- Distributed and Parallel Computing Systems 53
- Advanced Data Storage Technologies 33
- Co-authors
- K. DeT. WenausS. PanitkinD. OleynikA. KlimentovP. NilssonR. WalkerJosé Manuel Rodríguez Caballero
- Journals
- IEEE Transactions on Nuclear Science (4 papers)SHILAP Revista de lepidopterología (17 papers)Journal of Physics Conference Series (26 papers)Physics of Particles and Nuclei Letters (1 paper)CERN Document Server (European Organization for Nuclear Research) (5 papers)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
T. Maeno
56 papers receiving 439 citations
Peers
Comparison fields: 5 of 41
- Information Systems and Management 227
- Computer Networks and Communications 410
- Nuclear and High Energy Physics 154
- Hardware and Architecture 66
- Information Systems 61
Countries citing papers authored by T. Maeno
This map shows the geographic impact of T. Maeno'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 T. Maeno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Maeno more than expected).
Fields of papers citing papers by T. Maeno
This network shows the impact of papers produced by T. Maeno. 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 T. Maeno. The network helps show where T. Maeno may publish in the future.
Co-authorship network
The 25 scholars most cited alongside T. Maeno, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2021 | 4 | |
| 7 | 2020 | 2 | |
| 8 | 2017 | 2 | |
| 9 | 2017 | 28 | |
| 10 | 2017 | 2 | |
| 11 | 2016 | 0 | |
| 12 | 2015 | 14 | |
| 13 | 2015 | 3 | |
| 14 | 2014 | 21 | |
| 15 | 2014 | 2 | |
| 16 | 2014 | 10 | |
| 17 | 2011 | 15 | |
| 18 | 2011 | 50 | |
| 19 | 2005 | 4 | |
| 20 | 2005 | 1 |
About T. Maeno
T. Maeno is a scholar working on Information Systems and Management, Computer Networks and Communications, Nuclear and High Energy Physics, Hardware and Architecture and Instrumentation, having authored 63 papers that have together received 466 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (53 papers), Advanced Data Storage Technologies (33 papers), Scientific Computing and Data Management (32 papers), Particle Detector Development and Performance (22 papers), Particle physics theoretical and experimental studies (17 papers), Parallel Computing and Optimization Techniques (6 papers), Big Data Technologies and Applications (6 papers) and Embedded Systems Design Techniques (2 papers). The work is most often cited by research in Information Systems and Management (227 citations), Computer Networks and Communications (410 citations), Nuclear and High Energy Physics (154 citations), Hardware and Architecture (66 citations) and Information Systems (61 citations). T. Maeno has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include K. De, T. Wenaus, S. Panitkin, D. Oleynik, A. Klimentov, P. Nilsson, R. Walker, José Manuel Rodríguez Caballero, M. Potekhin and A. Vaniachine. Their work appears in journals such as IEEE Transactions on Nuclear Science, SHILAP Revista de lepidopterología, Journal of Physics Conference Series, Physics of Particles and Nuclei Letters and CERN Document Server (European Organization for Nuclear Research).
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.