Norah Alnaim

565 total citations
22 papers, 283 citations indexed

About

Norah Alnaim is a scholar working on Computer Vision and Pattern Recognition, Health Informatics and Artificial Intelligence. According to data from OpenAlex, Norah Alnaim has authored 22 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Health Informatics and 5 papers in Artificial Intelligence. Recurrent topics in Norah Alnaim's work include Artificial Intelligence in Healthcare and Education (5 papers), Hand Gesture Recognition Systems (4 papers) and Face recognition and analysis (2 papers). Norah Alnaim is often cited by papers focused on Artificial Intelligence in Healthcare and Education (5 papers), Hand Gesture Recognition Systems (4 papers) and Face recognition and analysis (2 papers). Norah Alnaim collaborates with scholars based in Saudi Arabia, United Kingdom and China. Norah Alnaim's co-authors include Fayadh Alenezi, Adi Alhudhaif, Maysam Abbod, Abdulrahman Albar, D. Paulraj, Farman Ali, S. Neelakandan, Ammar Armghan, Xiangyang Tang and Sannyuya Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE 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
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Lucia Cascone Italy
Pornchai Mongkolnam Thailand
Paola Barra Italy
Suja Palaniswamy India
Aniello Minutolo Italy
Davide Mulfari Italy
Harald Burgsteiner Austria
Tahani Jaser Alahmadi Saudi Arabia
Ovidiu Stan Romania
S. Navaneethan India
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Citations per field, relative to Norah Alnaim
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Citations per year, relative to Norah Alnaim
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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
# Work Indexed 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

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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