Кazuo Maeda

1.6k total citations
82 papers, 1.0k citations indexed

About

Кazuo Maeda is a scholar working on Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Кazuo Maeda has authored 82 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Pediatrics, Perinatology and Child Health, 18 papers in Pulmonary and Respiratory Medicine and 15 papers in Biomedical Engineering. Recurrent topics in Кazuo Maeda's work include Neonatal and fetal brain pathology (32 papers), Fetal and Pediatric Neurological Disorders (13 papers) and Neonatal Respiratory Health Research (12 papers). Кazuo Maeda is often cited by papers focused on Neonatal and fetal brain pathology (32 papers), Fetal and Pediatric Neurological Disorders (13 papers) and Neonatal Respiratory Health Research (12 papers). Кazuo Maeda collaborates with scholars based in Japan, United States and United Kingdom. Кazuo Maeda's co-authors include Hans‐Dieter Rott, Marvin C. Ziskin, Gail ter Haar, Francis Duck, Stanley B Barnett, Masaji Utsu, Ritsuko K. Pooh, Kazuhiko Nakajima, Nobuhiro Yamamoto and Takashi Nagasawa and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Obstetrics and Gynecology and Ultrasound in Medicine & Biology.

In The Last Decade

Кazuo Maeda

70 papers receiving 956 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Кazuo Maeda Japan 16 407 353 215 183 180 82 1.0k
Nigel Anderson New Zealand 27 725 1.8× 780 2.2× 324 1.5× 281 1.5× 774 4.3× 93 2.0k
Yoshitaka Kimura Japan 19 604 1.5× 192 0.5× 296 1.4× 73 0.4× 51 0.3× 117 1.6k
Terry O. Woods United States 7 79 0.2× 139 0.4× 54 0.3× 120 0.7× 361 2.0× 21 778
Sylviane Hanquinet Switzerland 22 558 1.4× 95 0.3× 347 1.6× 614 3.4× 214 1.2× 99 1.8k
Stanley B Barnett Australia 12 74 0.2× 377 1.1× 71 0.3× 65 0.4× 259 1.4× 20 626
Ernst Marlinghaus Germany 17 50 0.1× 395 1.1× 259 1.2× 331 1.8× 432 2.4× 33 1.5k
Yuan-Chiao Lu United States 17 149 0.4× 161 0.5× 264 1.2× 64 0.3× 53 0.3× 35 685
Seung Han Shin South Korea 22 327 0.8× 73 0.2× 679 3.2× 856 4.7× 94 0.5× 126 1.7k
Francis W. Smith United Kingdom 29 76 0.2× 407 1.2× 150 0.7× 1.2k 6.8× 473 2.6× 112 2.7k
Adelina Pellicer Spain 24 744 1.8× 334 0.9× 700 3.3× 382 2.1× 422 2.3× 76 2.0k

Countries citing papers authored by Кazuo Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Кazuo Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Кazuo Maeda

This figure shows the co-authorship network connecting the top 25 collaborators of Кazuo Maeda. A scholar is included among the top collaborators of Кazuo Maeda 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 Кazuo Maeda. Кazuo Maeda 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
1.
Maeda, Кazuo & Masaji Utsu. (2018). Cerebral Palsy caused by Intrapartum Fetal Damage is Prevented by the Hypoxia Index. 1(1). 13–15. 1 indexed citations
2.
Maeda, Кazuo. (2018). Developing Process of Regular Labor Contraction. Edelweiss Applied Science and Technology. 118–119. 1 indexed citations
3.
4.
Maeda, Кazuo, et al.. (2015). History of Medical Ultrasound. Donald School Journal of Ultrasound in Obstetrics & Gynecology. 11(2). 91–100.
5.
Maeda, Кazuo. (2015). Invention of ultrasonic Doppler fetal actocardiograph and continuous recording of fetal movements. Journal of obstetrics and gynaecology research. 42(1). 5–10. 6 indexed citations
6.
Maeda, Кazuo, et al.. (2011). Fetal Diagnosis with Ultrasonic Actocardiogram and GLHW Tissue Characterization. Donald School Journal of Ultrasound in Obstetrics & Gynecology. 5(2). 167–173. 1 indexed citations
7.
Maeda, Кazuo, et al.. (2010). Noninvasive Fetal Lung Maturity Prediction Based on Ultrasonic Gray Level Histogram Width. Ultrasound in Medicine & Biology. 36(12). 1998–2003. 35 indexed citations
8.
Maeda, Кazuo, et al.. (2010). Loss of FHR variability diagnosed by frequency analysis. Journal of Perinatal Medicine. 38(2). 197–201. 6 indexed citations
9.
Maeda, Кazuo, et al.. (2009). Neural Network Analysis and Evaluation of the Fetal Heart Rate. Algorithms. 2(1). 19–30. 15 indexed citations
10.
Maeda, Кazuo, et al.. (2008). Fetal extremity kinetics quantified with Doppler ultrasonography. Journal of Perinatal Medicine. 36(1). 82–6. 1 indexed citations
11.
Maeda, Кazuo, et al.. (2006). Fetal behavior analyzed by ultrasonic actocardiogram in cases with central nervous system lesions. Journal of Perinatal Medicine. 34(5). 398–403. 19 indexed citations
12.
Maeda, Кazuo, et al.. (2005). Ultrasound tissue characterization with the gray level histogram width of the B-mode. 5(2). 92–95. 1 indexed citations
13.
Matsumoto, Takuya, Hisashi Tamaki, Hajime Murao, Shinzo Kitamura, & Кazuo Maeda. (2005). Expressway Traffic Simulation Using Hierarchical Autonomous Decentralized Model. Transactions of the Institute of Systems Control and Information Engineers. 18(12). 458–466. 1 indexed citations
14.
Maeda, Кazuo, et al.. (2003). Evaluation of Prolonged Fetal Monitoring with Normal and Pathologic Outcome Probabilities Determined by Artificial Neural Network. Fetal Diagnosis and Therapy. 18(5). 370–375. 10 indexed citations
15.
Maeda, Кazuo. (1996). Estimation of perinatal mortalities in the world's countries from maternal mortalities. The Journal of Maternal-Fetal Medicine. 5(3). 132–136. 1 indexed citations
16.
Ito, Takashi, Кazuo Maeda, Hiroyuki Takahashi, et al.. (1994). Differentiation between physiologic and pathologic sinusoidal FHR pattern by fetal actocardiogram. Journal of Perinatal Medicine. 22(1). 39–43. 27 indexed citations
17.
Maeda, Кazuo, et al.. (1991). Objective and Quantitative Evaluation of Fetal Movement with Ultrasonic Doppler Actocardiogram. Neonatology. 60(Suppl. 1). 41–51. 20 indexed citations
18.
Maeda, Кazuo, et al.. (1988). The ultrasonic Doppler fetal actocardiogram and its Computer processing. Journal of Perinatal Medicine. 16(4). 327–332. 14 indexed citations
19.
Maeda, Кazuo & Takashi Ito. (1983). Studies on the Sinusoidal Pattern of Fetal Heart Rate Diagnosed by New Tentative Criteria. 35(11). 1923–1930. 1 indexed citations
20.
Koga, Kohachiro & Кazuo Maeda. (1968). Prophylactic chemotherapy with Amethopterin for prevention of choriocarcinoma following removal of hydatidiform mole. American Journal of Obstetrics and Gynecology. 100(2). 270–275. 15 indexed citations

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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