M. J. E. Salami

93 papers receiving 858 citations

Peers

M. J. E. Salami
Comparison fields: 5 of 115
  • Human-Computer Interaction 135
  • Signal Processing 149
  • Computer Vision and Pattern Recognition 185
  • Cognitive Neuroscience 136
  • Artificial Intelligence 223
Replace Norhashimah Mohd Saad with:
Norhashimah Mohd Saad Malaysia
M. Kalaiselvi Geetha India
Nadia Kanwal United Kingdom
Sugata Munshi India
Jing Pan China
P. Karthigaikumar India
Easter S. Suviseshamuthu India
Kaixuan Chen Australia
Sumantra Dutta Roy India
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M. J. E. Salami relative to Norhashimah Mohd Saad Malaysia Norhashimah Mohd Saad's profile →
Citations per field
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Norhashimah Mohd Saad · 1×
Citations per year

Countries citing papers authored by M. J. E. Salami

Since Specialization
Citations

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

Fields of papers citing papers by M. J. E. Salami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. J. E. Salami. 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. J. E. Salami. The network helps show where M. J. E. Salami may publish in the future.

Co-authors

The 25 scholars most cited alongside M. J. E. Salami, 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 M. J. E. Salami Line = papers co-authored together M. J. E. Salami links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200254
2 200945
3 200842
4 200340
5 199531
6 201431
7 201231
8 201131
9 201529
10 201128
11 201326
12 201126
13 201024
14 201219
15 201719
16 201219
17 201318
18 201218
19 200817
20 201017

About M. J. E. Salami

M. J. E. Salami is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing and Control and Systems Engineering, having authored 101 papers that have together received 964 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (12 papers), EEG and Brain-Computer Interfaces (8 papers), Image and Signal Denoising Methods (8 papers), User Authentication and Security Systems (6 papers), Hand Gesture Recognition Systems (6 papers), Neural Networks and Applications (6 papers), Advanced Control Systems Design (6 papers) and Neuroscience and Neural Engineering (5 papers). The work is most often cited by research in Human-Computer Interaction (135 citations), Signal Processing (149 citations), Computer Vision and Pattern Recognition (185 citations), Cognitive Neuroscience (136 citations) and Artificial Intelligence (223 citations). M. J. E. Salami has collaborated with scholars based in Malaysia, Nigeria and Pakistan. Frequent co-authors include Abiodun Musa Aibinu, Amir Akramin Shafie, Rini Akmeliawati, Asan G. A. Muthalif, Masaya Iwata, Takuya Higuchi, Hasimah Ali, Masahiro Murakawa, Markus Nilsson and Isamu Kajitani. Their work appears in journals such as Computer Communications, Physiological Measurement, Engineering Science and Technology an International Journal, Natural hazards and earth system sciences and Engineering Applications of Artificial Intelligence.

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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