Takahiro Murakami

1.4k citations
101 papers · 1.0k indexed · h-index 17

Takahiro Murakami

90 papers receiving 953 citations

Peers

Takahiro Murakami
Comparison fields: 5 of 115
  • Ecology, Evolution, Behavior and Systematics 379
  • Insect Science 237
  • Genetics 466
  • Aerospace Engineering 118
  • Signal Processing 51
Replace Chun‐Neng Wang with:
Chun‐Neng Wang Taiwan
Jianming Du China
Gérald Chouinard Canada
Grzegorz Krawczyk United States
En‐Cheng Yang Taiwan
Wen‐Yen Wu Taiwan
Graham Jones Sweden
Agenor Mafra‐Neto United States
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Takahiro Murakami relative to Chun‐Neng Wang Taiwan Chun‐Neng Wang's profile →
Citations per field
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Chun‐Neng Wang · 1×
Citations per year

Countries citing papers authored by Takahiro Murakami

Since Specialization
Citations

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

Fields of papers citing papers by Takahiro Murakami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Takahiro Murakami, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Takahiro Murakami Line = papers co-authored together Takahiro Murakami links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2
Notch frequency estimation based on the principle of maximum likelihood for direction of arrival estimation of acoustic signals using a single channel microphone
20211
3 20216
4 2018142
5 20176
6 201510
7 20157
8 20151
9 20143
10 20141
11 20132
12 20133
13 20136
14 20120
15 20125
16 20114
17 20109
18 200335
19
Cytogenetics of ten ant species of the tribe Attini (Hymenoptera, Formicidae) in Barro Colorado Island, Panama
199820
20
Stability And Failure Mechanisms of a Tunnel Face With a Shallow Depth
19956

About Takahiro Murakami

Takahiro Murakami is a scholar working on Signal Processing, Ecology, Evolution, Behavior and Systematics and Computational Mechanics, having authored 101 papers that have together received 1.0k indexed citations. Recurring topics across this work include Plant and animal studies (19 papers), Insect and Arachnid Ecology and Behavior (19 papers), Speech and Audio Processing (17 papers), Blind Source Separation Techniques (12 papers), Adaptive Control of Nonlinear Systems (9 papers), Advanced Adaptive Filtering Techniques (9 papers), Iterative Learning Control Systems (8 papers) and Animal Behavior and Reproduction (7 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (379 citations), Insect Science (237 citations) and Genetics (466 citations). Takahiro Murakami has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Seigo Higashi, Cameron R. Currie, Ainslie E. F. Little, Ulrich G. Mueller, H. Yamasaki, Jacobus J. Boomsma, Palle Villesen, Ted R. Schultz, Yoshihiro Okuno and Donald M. Windsor. Their work appears in journals such as Physical Review A, Proceedings of the Royal Society B Biological Sciences and The Journal of the Acoustical Society of America.

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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