Norah Alnaim

565 citations
22 papers · 283 indexed · h-index 11
Topics
Artificial Intelligence in Healthcare and Education (5 papers)Hand Gesture Recognition Systems (4 papers)Face recognition and analysis (2 papers)
Journals
SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access

In The Last Decade

Norah Alnaim

22 papers receiving 266 citations

Peers

Norah Alnaim
Comparison fields: 5 of 86
  • Artificial Intelligence 89
  • Computer Vision and Pattern Recognition 62
  • Human-Computer Interaction 37
  • Information Systems 36
  • Health Informatics 28
Replace Lucia Cascone with:
Lucia Cascone Italy
Davide Mulfari Italy
S. Navaneethan India
Tahani Jaser Alahmadi Saudi Arabia
Suja Palaniswamy India
Mirela Popa Netherlands
Byungsoo Ko South Korea
Susan Elias India
Djamila Romaissa Beddiar Finland
Pornchai Mongkolnam Thailand
Norah Alnaim relative to Lucia Cascone Italy Lucia Cascone's profile →
Citations per field
00.5×4.7×
Lucia Cascone · 1×
Citations per year

Countries citing papers authored by Norah Alnaim

Since Specialization
Citations

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

Fields of papers citing papers by Norah Alnaim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Norah Alnaim

This figure shows the co-authorship network connecting the top 25 collaborators of Norah Alnaim. A scholar is included among the top collaborators of Norah Alnaim 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 Norah Alnaim. Norah Alnaim 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 2
2 1
3 1
4 11
5 4
6 14
7 25
8 1
9 23
10 24
11 38
12 5
13 25
14 17
15 3
16 20
17 5
18 2
19 4
20 21

About Norah Alnaim

Norah Alnaim is a scholar working on Health Informatics, Human-Computer Interaction and Applied Microbiology and Biotechnology, having authored 22 papers that have together received 283 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (5 papers), Hand Gesture Recognition Systems (4 papers) and Face recognition and analysis (2 papers). The work is most often cited by research in Health Informatics (28 citations), Human-Computer Interaction (37 citations) and Computer Vision and Pattern Recognition (62 citations). Norah Alnaim has collaborated with scholars based in Saudi Arabia, United Kingdom and China. Frequent co-authors include Fayadh Alenezi, Adi Alhudhaif, Maysam Abbod, Abdulrahman Albar, D. Paulraj, Farman Ali, S. Neelakandan, Ammar Armghan, Xiangyang Tang and Sannyuya Liu. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

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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