Badr Almutairi

563 citations
26 papers · 351 indexed · h-index 8
Topics
Network Security and Intrusion Detection (3 papers)Chaos-based Image/Signal Encryption (3 papers)Advanced Malware Detection Techniques (3 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE AccessSensors

In The Last Decade

Badr Almutairi

23 papers receiving 334 citations

Peers

Badr Almutairi
Comparison fields: 5 of 107
  • Radiology, Nuclear Medicine and Imaging 68
  • Computer Vision and Pattern Recognition 58
  • Artificial Intelligence 56
  • Surgery 45
  • Neurology 42
Replace K. Doi with:
K. Doi Japan
Shan Hu China
Harshita Sharma United Kingdom
Badreeddine Alami Morocco
Miaofei Han China
Anunay Gupta India
Karen Copeland United States
Mousumi Bhaduri Canada
Douglas K. S. Ng Hong Kong
Di Xiao Australia
Badr Almutairi relative to K. Doi Japan K. Doi's profile →
Citations per field
00.5×10×15×19.5×
K. Doi · 1×
Citations per year

Countries citing papers authored by Badr Almutairi

Since Specialization
Citations

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

Fields of papers citing papers by Badr Almutairi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Badr Almutairi

This figure shows the co-authorship network connecting the top 25 collaborators of Badr Almutairi. A scholar is included among the top collaborators of Badr Almutairi 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 Badr Almutairi. Badr Almutairi 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 1
4 2
5 1
6 6
7 29
8 1
9 6
10 43
11 4
12 124
13 13
14 6
15 2
16 14
17 2
18 31
19 29
20 27

About Badr Almutairi

Badr Almutairi is a scholar working on Critical Care and Intensive Care Medicine, Computer Networks and Communications and Signal Processing, having authored 26 papers that have together received 351 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (3 papers), Chaos-based Image/Signal Encryption (3 papers) and Advanced Malware Detection Techniques (3 papers). The work is most often cited by research in Internal Medicine (26 citations), Neurology (42 citations) and Oral Surgery (36 citations). Badr Almutairi has collaborated with scholars based in Saudi Arabia, Malaysia and Pakistan. Frequent co-authors include Sultan Almotairi, Mohammed A.‐M. Salem, Hanan Balto, Gerard H. Jansen, Thanh Nguyen, Pasteur Rasuli, Rawad Abdulghafor, Adnan Hadziomerovic, Sherzod Turaev and Khaled Y. Elbanna. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

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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