Hamoud Alshammari

26 papers receiving 375 citations

Peers

Hamoud Alshammari
Comparison fields: 5 of 93
  • Health Informatics 10
  • Health Information Management 32
  • Analytical Chemistry 59
  • Computer Networks and Communications 75
  • Artificial Intelligence 98
Replace G. Sambasivam with:
G. Sambasivam India
Shweta Lamba India
Abhishek Raghuvanshi India
Mahmood A. Mahmood Saudi Arabia
Ali Kartit Morocco
Abdullah M. Baqasah Saudi Arabia
Samreen Naeem Pakistan
Sania Anam Pakistan
Shadi Basurra United Kingdom
Naresh Kumar Trivedi India
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Citations per field
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Citations per year

Countries citing papers authored by Hamoud Alshammari

Since Specialization
Citations

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

Fields of papers citing papers by Hamoud Alshammari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hamoud Alshammari. 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 Hamoud Alshammari. The network helps show where Hamoud Alshammari may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202358
2 202257
3 202252
4 202234
5 202328
6 202228
7 202024
8 202117
9 201616
10 202312
11 202311
12 20228
13 20227
14 20187
15 20226
16 20145
17 20244
18 20233
19 20233
20 20133

About Hamoud Alshammari

Hamoud Alshammari is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Plant Science, having authored 27 papers that have together received 392 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (6 papers), Spectroscopy and Chemometric Analyses (5 papers), IoT and Edge/Fog Computing (5 papers), Date Palm Research Studies (5 papers), Smart Agriculture and AI (5 papers), AI in cancer detection (2 papers), Digital Imaging for Blood Diseases (2 papers) and Artificial Intelligence in Healthcare (2 papers). The work is most often cited by research in Health Informatics (10 citations), Health Information Management (32 citations), Analytical Chemistry (59 citations), Computer Networks and Communications (75 citations) and Artificial Intelligence (98 citations). Hamoud Alshammari has collaborated with scholars based in Saudi Arabia, United States and Tunisia. Frequent co-authors include Karim Gasmi, Osama R. Shahin, Lassaad Ben Ammar, Mahmood A. Mahmood, Ahmed I. Taloba, Moez Krichen, Rasha M. Abd El-Aziz, Sameh Abd El-Ghany, Hanen Karamti and Jeongkyu Lee. Their work appears in journals such as Alexandria Engineering Journal, Computational Intelligence and Neuroscience, Scientific Reports, Computers and Electronics in Agriculture and Applied Sciences.

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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