The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Ganesh S. Samudra sits on this spectrum.
This scientist: 323 publications — 62nd percentile
62% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 1,065 publications or more.
The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Ganesh S. Samudra sits on this spectrum.
This scientist: 45 D-Index — 50th percentile
50% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 111 D-Index or more.
Ganesh S. Samudra is affiliated with the National University of Singapore in Singapore, contributing to research at the intersection of computer science and medicine. Their work spans multiple subfields including Information Systems, Artificial Intelligence, and Pediatrics, Perinatology and Child Health.
The research output of Ganesh S. Samudra includes publications primarily in the domain of educational technology and public health. Their recent paper, published in 2025, is titled "Efektivitas Teknik SMOTE Dalam Meningkatkan Performa Naïve Bayes Deteksi Gangguan Kecemasan Mahasiswa" and appeared in JATISI (Jurnal Teknik Informatika dan Sistem Informasi). This work investigates machine learning techniques for improving performance in anxiety disorder detection among students.
The main fields of study covered by their research include:
Within these broader fields, their subfields of specialization involve:
The primary topics of Ganesh S. Samudra's work focus on educational and health-related themes, notably:
Collaboration with other researchers is evident through frequent co-authors, which include:
Publications by Ganesh S. Samudra have appeared predominantly in venues such as:
The scope of their work reflects interdisciplinary connections, combining methodologies from computer science and artificial intelligence with applications in public health and pediatrics. This suggests an approach that integrates technology into educational and health system contexts.
Eng-Huat Toh;Grace Huiqi Wang;Ganesh Samudra;Yee-Chia Yeo
C. Shen;M.-F. Li;C. E. Foo;T. Yang
Eng-Huat Toh;Grace Huiqi Wang;Ganesh Samudra;Yee-Chia Yeo
R.T.P. Lee;Tsung-Yang Liow;Kian-Ming Tan;A.E.-J. Lim
Jing Hao Chen;Ying Qian Wang;Won Jong Yoo;Yee-Chia Yeo
Kah-Wee Ang;King-Jien Chui;Vladimir Bliznetsov;Chih-Hang Tung
Kah Wee Ang;King Jien Chui;V. Bliznetsov;Anyan Du
Huolin Huang;Yung C. Liang;Ganesh S. Samudra;Ting-Fu Chang
Eng-Huat Toh;Grace Huiqi Wang;Lap Chan;Ganesh Samudra
Peng-Fei Guo;Li-Tao Yang;Yue Yang;Lu Fan
Eng Huat Toh;Grace Huiqi Wang;Lap Chan;Dennis Sylvester
Chen Shen;Sern-Long Ong;Chun-Huat Heng;G. Samudra
Y.C. Liang;K.P. Gan;G.S. Samudra
K.P. Gan;Y.C. Liang;G.S. Samudra;S.M. Xu
T.-Y. Liow;K.-M. Tan;R. Lee;A. Du
Y.Q. Wang;D.Y. Gao;W.S. Hwang;C. Shen
Kai-Tak Lam;Dawei Seah;Sai-Kong Chin;S Bala Kumar
S. K. Samanta;Won Jong Yoo;Ganesh Samudra;Eng Soon Tok
A. Lochtefeld;I. J. Djomehri;G. Samudra;D. A. Antoniadis
T. Yang;M.F. Li;C. Shen;C.H. Ang
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