Salwani Mohd Daud

1.2k citations
54 papers · 664 indexed · h-index 14

Salwani Mohd Daud

52 papers receiving 607 citations

Peers

Salwani Mohd Daud
Comparison fields: 5 of 108
  • Information Systems 269
  • Computer Networks and Communications 166
  • Artificial Intelligence 153
  • Management Information Systems 41
  • Media Technology 34
Replace J. Andrew with:
J. Andrew India
Rossilawati Sulaiman Malaysia
Jaspreet Singh India
Abdelzahir Abdelmaboud Saudi Arabia
Siva Sai India
M. Sivaram Iraq
Haiyang Yu China
Ramgopal Kashyap India
Julian Szymański Poland
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Countries citing papers authored by Salwani Mohd Daud

Since Specialization
Citations

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

Fields of papers citing papers by Salwani Mohd Daud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Salwani Mohd Daud. 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 Salwani Mohd Daud. The network helps show where Salwani Mohd Daud may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Salwani Mohd Daud, 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 Salwani Mohd Daud Line = papers co-authored together Salwani Mohd Daud links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20231
2 20232
3
Interoperability Challenges in Healthcare Blockchain System - A Systematic Review
202115
4
Towards Trustworthiness of Electronic Health Record system using Blockchain
202119
5 20213
6 202145
7 202033
8 20209
9 202038
10
A Review of Deterministic Anti-Collision Algorithm of Passive RFID Systems
20193
11 20197
12 20185
13 20183
14
Hardware Trojan Identification Using Machine Learning-based Classification
20179
15
Textile diamond dipoles for body centric communications at 2.45GHZ and 5.8GHZ
20161
16 20167
17 20161
18 20132
19 20123
20
Optimal input features selection of wavelet-based EEG signals using GA
20041

About Salwani Mohd Daud

Salwani Mohd Daud is a scholar working on Media Technology, Health Informatics and Information Systems, having authored 54 papers that have together received 664 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (8 papers), IoT and Edge/Fog Computing (6 papers), Advanced Steganography and Watermarking Techniques (5 papers), Experimental Learning in Engineering (4 papers), Engineering Education and Curriculum Development (4 papers), Context-Aware Activity Recognition Systems (4 papers), Chaos-based Image/Signal Encryption (4 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (3 papers). The work is most often cited by research in Information Systems (269 citations), Computer Networks and Communications (166 citations) and Artificial Intelligence (153 citations). Salwani Mohd Daud has collaborated with scholars based in Malaysia, Saudi Arabia and Indonesia. Frequent co-authors include Hafiza Abas, Shadab Alam, Suriani Mohd Sam, Noor Azurati Ahmad, Wazir Zada Khan, Mohammed Shuaib, Siti Zaleha Abdul Rasid, Rudzidatul Akmam Dziyauddin, Faheem Ahmad Reegu and Jasmy Yunus. Their work appears in journals such as IEEE Access, Computer Networks and Indian Journal of Science and Technology.

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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