Mohammad Sh. Daoud

1.2k citations
63 papers · 592 · h-index 15

Impact in

Papers in

Mohammad Sh. Daoud

54 papers receiving 565 citations

Peers

Mohammad Sh. Daoud
Comparison fields: 5 of 117
  • Health Information Management 53
  • Health Informatics 10
  • Artificial Intelligence 198
  • Information Systems 110
  • Computer Networks and Communications 96
Replace Fazal Muhammad with:
Fazal Muhammad Pakistan
Biswajit Purkayastha India
Mahmoud Ahmad Al‐Khasawneh Saudi Arabia
Gaspard Harerimana South Korea
Marius Lindauer Germany
Ruxandra Stoean Romania
Khalid Almohammadi Saudi Arabia
Dian Palupi Rini Indonesia
Samih M. Mostafa Egypt
Adeiza James Onumanyi South Africa
Mohammad Sh. Daoud relative to Fazal Muhammad Pakistan Fazal Muhammad's profile →
Citations per field
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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 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202190
2 202274
3 202434
4 202123
5 202422
6 202121
7 202320
8 202019
9 202317
10 202316
11 202416
12 201915
13 202414
14 202414
15 202114
16 202114
17 202313
18 202013
19 202312
20 202311

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 Control and Systems Engineering, having authored 63 papers that have together received 592 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (8 papers), Network Security and Intrusion Detection (4 papers), Evolutionary Algorithms and Applications (4 papers), Human Mobility and Location-Based Analysis (4 papers), IoT and Edge/Fog Computing (3 papers), Machine Learning in Healthcare (3 papers), Artificial Intelligence in Healthcare (3 papers) and Smart Cities and Technologies (3 papers). The work is most often cited by research in Health Information Management (53 citations), Health Informatics (10 citations), Artificial Intelligence (198 citations), Information Systems (110 citations) and Computer Networks and Communications (96 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, Sagheer Abbas, Hazem Migdady, Mohd Khaled Yousef Shambour, Raed Abu Zitar, Tahir Abbas Khan, Muhammad Adnan Khan and Maryam Altalhi. Their work appears in journals such as IEEE Access, Alexandria Engineering Journal, International Journal of Information Security, Evolving Systems and International Journal of Bio-Inspired Computation.

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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