Mohammed Assiri

956 citations
67 papers · 465 indexed · h-index 12
Topics
Perovskite Materials and Applications (5 papers)Conducting polymers and applications (5 papers)AI in cancer detection (5 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsNano Energy

In The Last Decade

Mohammed Assiri

58 papers receiving 440 citations

Peers

Mohammed Assiri
Comparison fields: 5 of 102
  • Electrical and Electronic Engineering 140
  • Artificial Intelligence 94
  • Computer Networks and Communications 85
  • Materials Chemistry 53
  • Information Systems 46
Replace Vrince Vimal with:
Vrince Vimal India
Guoxiang Tong China
Yogendra Kumar Jain India
Chang Soo Kim South Korea
Wei Bai China
Lidia Jackowska-Strumiłło Poland
Yanbo Wu China
Jie Dong China
Mohammed Assiri relative to Vrince Vimal India Vrince Vimal's profile →
Citations per field
00.5×10×15×17.7×
Vrince Vimal · 1×
Citations per year

Countries citing papers authored by Mohammed Assiri

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed Assiri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammed Assiri

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Assiri. A scholar is included among the top collaborators of Mohammed Assiri 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 Mohammed Assiri. Mohammed Assiri 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 3
2 1
3 3
4 10
5 1
6 1
7 6
8 1
9 2
10 30
11 40
12 5
13 19
14 3
15 3
16 7
17 19
18 18
19 3
20 11

About Mohammed Assiri

Mohammed Assiri is a scholar working on Media Technology, Human-Computer Interaction and Artificial Intelligence, having authored 67 papers that have together received 465 indexed citations. Recurring topics across this work include Perovskite Materials and Applications (5 papers), Conducting polymers and applications (5 papers) and AI in cancer detection (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (45 citations), Computer Networks and Communications (85 citations) and Artificial Intelligence (94 citations). Mohammed Assiri has collaborated with scholars based in Saudi Arabia, Egypt and South Korea. Frequent co-authors include Mamoona Humayun, Mashael M. Asiri, Faiz Abdullah Alotaibi, Nuha Alruwais, Ghadah Aldehim, Erdi Akman, Ganesh Koyyada, Abdullah Mohamed, Fahmid Kabir and Marwa Obayya. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Nano Energy.

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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