Hiroshi Murata

97 total papers · 965 total citations
37 papers, 701 citations indexed

About

Hiroshi Murata is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hiroshi Murata has authored 37 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electrical and Electronic Engineering, 10 papers in Artificial Intelligence and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hiroshi Murata's work include Text and Document Classification Technologies (9 papers), VLSI and FPGA Design Techniques (8 papers) and Machine Learning and Algorithms (5 papers). Hiroshi Murata is often cited by papers focused on Text and Document Classification Technologies (9 papers), VLSI and FPGA Design Techniques (8 papers) and Machine Learning and Algorithms (5 papers). Hiroshi Murata collaborates with scholars based in Japan and United States. Hiroshi Murata's co-authors include Kunihiro Fujiyoshi, Shigetoshi Nakatake, Yoji Kajitani, E.S. Kuh, Takashi Onoda, Seiji Yamada, Izumi Kubo, Hiroshi Tanaka, Tan Yan and Bo Yang and has published in prestigious journals such as Journal of the Physical Society of Japan, Journal of Crystal Growth and Nagoya Mathematical Journal.

In The Last Decade

Hiroshi Murata

31 papers receiving 666 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Hiroshi Murata	570	302	141	116	54	37	701
Ria Otten	531 0.9×	323 1.1×	136 1.0×	123 1.1×	56 1.0×	24	819
R.S. Gyurcsik	319 0.6×	164 0.5×	58 0.4×	332 2.9×	9 0.2×	37	771
Bryan Preas	690 1.2×	449 1.5×	188 1.3×	137 1.2×	73 1.4×	38	860
L. P. P. P. van Ginneken	580 1.0×	377 1.2×	144 1.0×	54 0.5×	11 0.2×	21	831
Kei-Yong Khoo	609 1.1×	402 1.3×	155 1.1×	51 0.4×	20 0.4×	51	718
Jhih-Rong Gao	695 1.2×	307 1.0×	100 0.7×	159 1.4×	44 0.8×	30	743
Ralph H. J. M. Otten	588 1.0×	344 1.1×	168 1.2×	103 0.9×	56 1.0×	24	706
C. L. Liu	654 1.1×	391 1.3×	191 1.4×	147 1.3×	67 1.2×	21	799
Eugene Shragowitz	427 0.7×	282 0.9×	202 1.4×	89 0.8×	14 0.3×	48	656
Abhiram Ranade	158 0.3×	379 1.3×	641 4.5×	61 0.5×	12 0.2×	48	884

Countries citing papers authored by Hiroshi Murata

Since Specialization

Citations

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

Fields of papers citing papers by Hiroshi Murata

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroshi Murata

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

All Works

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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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