Masahiro Abe

714 total citations
27 papers, 364 citations indexed

About

Masahiro Abe is a scholar working on Artificial Intelligence, Computer Networks and Communications and Human-Computer Interaction. According to data from OpenAlex, Masahiro Abe has authored 27 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 4 papers in Human-Computer Interaction. Recurrent topics in Masahiro Abe's work include Speech and dialogue systems (3 papers), Natural Language Processing Techniques (2 papers) and Neural Networks and Applications (2 papers). Masahiro Abe is often cited by papers focused on Speech and dialogue systems (3 papers), Natural Language Processing Techniques (2 papers) and Neural Networks and Applications (2 papers). Masahiro Abe collaborates with scholars based in Japan, United States and India. Masahiro Abe's co-authors include D. M. Himmelblau, I. Matsuura, Makoto Kubota, Kajiro Watanabe, Masashi Ban, Tomokazu Yamazaki, Yanping Zhang, Akihiko Wada, Yuya Saito and Shigeki Aoki and has published in prestigious journals such as AIChE Journal, AIAA Journal and American Journal of Neuroradiology.

In The Last Decade

Masahiro Abe

23 papers receiving 330 citations

Peers

Masahiro Abe
Comparison fields: 5 of 76
  • Control and Systems Engineering 198
  • Artificial Intelligence 120
  • Mechanical Engineering 94
  • Analytical Chemistry 35
  • Biomedical Engineering 29
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Citations per field, relative to Masahiro Abe
Masahiro Abe · 1×
Citations per year, relative to Masahiro Abe
Masahiro Abe · 1×

Countries citing papers authored by Masahiro Abe

Since Specialization
Citations

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

Fields of papers citing papers by Masahiro Abe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masahiro Abe

This figure shows the co-authorship network connecting the top 25 collaborators of Masahiro Abe. A scholar is included among the top collaborators of Masahiro Abe 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 Masahiro Abe. Masahiro Abe 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
# Work Indexed citations
1 2
2 7
3 19
4 2
5 8
6 2
7 0
8 0
9
The use of large text corpora for evaluating text-to-speech systems
4
10
Easy access via a TTS website to mono- and multilingual text-to-speech systems
1
11 3
12 1
13
A Multistage Disambiguation Method for Non-segmented Kana to Kanji Translation
0
14
Nonlinear Inequalities Constraint Solver Combined Multiple Constraint Solvers
1
15 3
16
Sign Language Translation System Using Continuous DP Matching.
10
17
Range Determinationof Design Parameters by Qualitative Reasoning and its Application to Electronic Circuits.
1
18 2
19 228
20 6

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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