Saeed M. Alshahrani

440 citations
27 papers · 241 indexed · h-index 9
Topics
Blockchain Technology Applications and Security (5 papers)COVID-19 diagnosis using AI (4 papers)IoT and Edge/Fog Computing (3 papers)
Partner nations
Saudi ArabiaEgyptJordan

In The Last Decade

Saeed M. Alshahrani

25 papers receiving 228 citations

Peers

Saeed M. Alshahrani
Comparison fields: 5 of 78
  • Information Systems 80
  • Artificial Intelligence 63
  • Computer Networks and Communications 44
  • Information Systems and Management 17
  • Management Information Systems 16
Replace Po‐Hsun Cheng with:
Po‐Hsun Cheng Taiwan
Álvaro Carrera Spain
Nayan B. Ruparelia United States
Tawfeeq Alsanoosy Australia
Ishaya Gambo Nigeria
Jens H. Weber-Jahnke Canada
Sepideh Bazzaz Abkenar Iran
Flora Malamateniou Greece
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Saeed M. Alshahrani relative to Po‐Hsun Cheng Taiwan Po‐Hsun Cheng's profile →
Citations per field
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Po‐Hsun Cheng · 1×
Citations per year

Countries citing papers authored by Saeed M. Alshahrani

Since Specialization
Citations

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

Fields of papers citing papers by Saeed M. Alshahrani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Saeed M. Alshahrani. 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 Saeed M. Alshahrani. The network helps show where Saeed M. Alshahrani may publish in the future.

Co-authorship network of co-authors of Saeed M. Alshahrani

This figure shows the co-authorship network connecting the top 25 collaborators of Saeed M. Alshahrani. A scholar is included among the top collaborators of Saeed M. Alshahrani based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Saeed M. Alshahrani. Saeed M. Alshahrani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 2
4 3
5 12
6 7
7 3
8 2
9 5
10 38
11 7
12 15
13 3
14 2
15 9
16 7
17 6
18 5
19 4
20 27

About Saeed M. Alshahrani

Saeed M. Alshahrani is a scholar working on Family Practice, Health Informatics and Information Systems, having authored 27 papers that have together received 241 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (5 papers), COVID-19 diagnosis using AI (4 papers) and IoT and Edge/Fog Computing (3 papers). The work is most often cited by research in Drug Discovery (3 citations), Information Systems (80 citations) and Health Informatics (4 citations). Saeed M. Alshahrani has collaborated with scholars based in Saudi Arabia, Egypt and Jordan. Frequent co-authors include Rashid Mehmood, Qasim Khan, Muhammad Roman, Abdullah Alharbi, Abdul Shahid, M. Irfan Uddin, Wael Alosaimi, Z. Faizal Khan, Izzat Alsmadi and Sana Alazwari. Their work appears in journals such as IEEE Access, Sustainability and Frontiers in Pharmacology.

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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