Mohammad Sh. Daoud

1.3k citations
70 papers · 712 · h-index 17

Impact in

Papers in

    • Metaheuristic Optimization Algorithms Research 8
    • Evolutionary Algorithms and Applications 4
    • Internet Traffic Analysis and Secure E-voting 3
    • Machine Learning in Healthcare 3
    • Network Security and Intrusion Detection 5
    • IoT and Edge/Fog Computing 3

Mohammad Sh. Daoud

60 papers receiving 672 citations

Peers

Mohammad Sh. Daoud
Comparison fields: 5 of 117
  • Health Information Management 57
  • Health Informatics 11
  • Artificial Intelligence 235
  • Information Systems 130
  • Software 20
Replace Fazal Muhammad with:
Fazal Muhammad Pakistan
Ruxandra Stoean Romania
Hani Alquhayz Saudi Arabia
Dian Palupi Rini Indonesia
Khalid Almohammadi Saudi Arabia
Jasminder Kaur Sandhu India
Gaspard Harerimana South Korea
Belal Al‐Khateeb Iraq
Mahmoud Ahmad Al‐Khasawneh Saudi Arabia
Arun Pratap Srivastava India
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Citations per field
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Fazal Muhammad · 1×
Citations per year

Countries citing papers authored by Mohammad Sh. Daoud

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Sh. Daoud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Sh. Daoud. 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 Mohammad Sh. Daoud. The network helps show where Mohammad Sh. Daoud may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021108
2 202284
3 202439
4 202026
5 202125
6 201924
7 202423
8 202122
9 202320
10 202419
11 202318
12 202118
13 202317
14 202317
15 202416
16 202416
17 202016
18 201914
19 202314
20 202114

About Mohammad Sh. Daoud

Mohammad Sh. Daoud is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 70 papers that have together received 712 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (8 papers), Network Security and Intrusion Detection (5 papers), Evolutionary Algorithms and Applications (4 papers), Spam and Phishing Detection (4 papers), Human Mobility and Location-Based Analysis (4 papers), IoT and Edge/Fog Computing (3 papers), Internet Traffic Analysis and Secure E-voting (3 papers) and Machine Learning in Healthcare (3 papers). The work is most often cited by research in Health Information Management (57 citations), Health Informatics (11 citations), Artificial Intelligence (235 citations), Information Systems (130 citations) and Software (20 citations). Mohammad Sh. Daoud has collaborated with scholars based in United Arab Emirates, Jordan and Saudi Arabia. Frequent co-authors include Laith Abualigah, Mohammad Shehab, Munir Ahmad, Baha Ihnaini, Hazem Migdady, Sagheer Abbas, Mohd Khaled Yousef Shambour, Raed Abu Zitar, Muhammad Adnan Khan and Tahir Abbas Khan. Their work appears in journals such as IEEE Access, International Journal of Information Security, Computers, materials & continua/Computers, materials & continua (Print), Scientific Reports and Alexandria Engineering Journal.

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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