T. Maeno

6.9k citations
6 papers · 8 indexed · h-index 2
Topics
Distributed and Parallel Computing Systems (5 papers)Advanced Data Storage Technologies (3 papers)Distributed systems and fault tolerance (2 papers)
Journals
Journal of Physics Conference SeriesProcedia Computer ScienceProceedings of 41st International Conference on High Energy physics — PoS(ICHEP2022)

In The Last Decade

T. Maeno

3 papers receiving 8 citations

Peers

T. Maeno
Comparison fields: 5 of 5
  • Computer Networks and Communications 8
  • Information Systems and Management 4
  • Information Systems 2
  • Hardware and Architecture 2
  • Nuclear and High Energy Physics 1
Replace S. Fuess with:
S. Fuess United States
M. E. Pozo Astigarraga Switzerland
Alina Gabriela Grigoras Switzerland
F. Würthwein United States
S.C. Timm United States
J. Flammer
G. Negri Switzerland
S. Goldfarb United States
René Caspart Germany
R. M. Buckingham Switzerland
T. Maeno relative to S. Fuess United States S. Fuess's profile →
Citations per field
00.5×1.5×
S. Fuess · 1×
Citations per year

Countries citing papers authored by T. Maeno

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of T. Maeno

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

All Works

6 of 6 papers shown
#WorkIndexed citations
1 0
2 6
3 1
4 0
5 1
6 0

About T. Maeno

T. Maeno is a scholar working on Information Systems and Management, Computer Networks and Communications and Nuclear and High Energy Physics, having authored 6 papers that have together received 8 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (5 papers), Advanced Data Storage Technologies (3 papers) and Distributed systems and fault tolerance (2 papers). The work is most often cited by research in Information Systems and Management (4 citations), Computer Networks and Communications (8 citations) and Hardware and Architecture (2 citations). T. Maeno has collaborated with scholars based in United States, Russia and Switzerland. Frequent co-authors include A. Klimentov, K. De, J. E. García Navarro, A. Vaniachine, M. Borodin, S. Campana, José Manuel Rodríguez Caballero, Xiongfei Zhao, David South and A. Klimentov. Their work appears in journals such as Journal of Physics Conference Series, Procedia Computer Science and Proceedings of 41st International Conference on High Energy physics — PoS(ICHEP2022).

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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