Norah Alnaim

32 total papers · 554 total citations
22 papers, 264 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 264 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 Mobile Health and mHealth Applications (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 Mobile Health and mHealth Applications (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, Ammar Armghan, Farman Ali, D. Paulraj, Sannyuya Liu, Xiangyang Tang and Fazal Muhammad 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

21 papers receiving 248 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Norah Alnaim 87 60 37 35 25 22 264
Muhammad Usama Islam 62 0.7× 96 1.6× 54 1.5× 27 0.8× 13 0.5× 24 307
Luis Miralles‐Pechuán 90 1.0× 80 1.3× 11 0.3× 27 0.8× 10 0.4× 29 259
Pranjal Kumar 118 1.4× 73 1.2× 13 0.4× 29 0.8× 54 2.2× 12 326
Lucia Cascone 85 1.0× 87 1.4× 35 0.9× 39 1.1× 6 0.2× 34 280
Paola Barra 94 1.1× 190 3.2× 33 0.9× 15 0.4× 19 0.8× 32 323
John Bush Idoko 54 0.6× 55 0.9× 59 1.6× 28 0.8× 4 0.2× 18 272
Pornchai Mongkolnam 85 1.0× 74 1.2× 41 1.1× 26 0.7× 11 0.4× 38 298
Shams Ul Arfeen Laghari 53 0.6× 19 0.3× 32 0.9× 73 2.1× 7 0.3× 17 237
Salisu Wada Yahaya 111 1.3× 88 1.5× 23 0.6× 9 0.3× 5 0.2× 14 217
Chutisant Kerdvibulvech 41 0.5× 82 1.4× 54 1.5× 15 0.4× 8 0.3× 33 200

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

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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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