M.P. Paulraj

1.0k citations
106 papers · 713 indexed · h-index 14
Topics
EEG and Brain-Computer Interfaces (39 papers)Speech and Audio Processing (27 papers)Speech Recognition and Synthesis (21 papers)
Partner nations
MalaysiaIndiaBahrain

In The Last Decade

M.P. Paulraj

98 papers receiving 657 citations

Peers

M.P. Paulraj
Comparison fields: 5 of 101
  • Cognitive Neuroscience 281
  • Signal Processing 183
  • Artificial Intelligence 150
  • Human-Computer Interaction 140
  • Computer Vision and Pattern Recognition 106
Replace Sazali Yaacob with:
Sazali Yaacob Malaysia
Baikun Wan China
José Manuel Ferrández Spain
Nasreen Badruddin Malaysia
Kaiquan Shen Singapore
Norizam Sulaiman Malaysia
Emina Aličković Sweden
Valentin Goverdovsky United Kingdom
Mladen Russo Croatia
Tae‐Gyu Chang South Korea
M.P. Paulraj relative to Sazali Yaacob Malaysia Sazali Yaacob's profile →
Citations per field
00.5×1.5×
Sazali Yaacob · 1×
Citations per year

Countries citing papers authored by M.P. Paulraj

Since Specialization
Citations

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

Fields of papers citing papers by M.P. Paulraj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.P. Paulraj. 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 M.P. Paulraj. The network helps show where M.P. Paulraj may publish in the future.

Co-authorship network of co-authors of M.P. Paulraj

This figure shows the co-authorship network connecting the top 25 collaborators of M.P. Paulraj. A scholar is included among the top collaborators of M.P. Paulraj 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 M.P. Paulraj. M.P. Paulraj 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
#WorkIndexed citations
1 0
2 2
3 0
4 0
5 1
6 44
7 4
8 2
9 10
10 1
11 14
12 8
13 2
14
Damage detection in steel plates using Artificial Neural Networks
2
15
Diagnosis of Voice Disorders using Mel Scaled WPT and Functional Link Neural Network( Biosensors: Data Acquisition, Processing and Control)
4
16 3
17 12
18 13
19 7
20
Introduction to Artificial Neural Networks
22

About M.P. Paulraj

M.P. Paulraj is a scholar working on Signal Processing, Human-Computer Interaction and Cognitive Neuroscience, having authored 106 papers that have together received 713 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (39 papers), Speech and Audio Processing (27 papers) and Speech Recognition and Synthesis (21 papers). The work is most often cited by research in Human-Computer Interaction (140 citations), Signal Processing (183 citations) and Cognitive Neuroscience (281 citations). M.P. Paulraj has collaborated with scholars based in Malaysia, India and Bahrain. Frequent co-authors include Sazali Yaacob, C.R. Hema, Sazali Yaacob, Abdul Hamid Adom, A. Saidatul, M. Hariharan, R. Nagarajan, Kamalraj Subramaniam, A B Shahriman and M.S. Abdul Majid. Their work appears in journals such as Composite Structures, Advances in experimental medicine and biology and Journal of Intelligent & Fuzzy Systems.

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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