Haris Shuaib

1.2k total citations
15 papers, 226 citations indexed

About

Haris Shuaib is a scholar working on Epidemiology, Radiology, Nuclear Medicine and Imaging and Health Informatics. According to data from OpenAlex, Haris Shuaib has authored 15 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Health Informatics. Recurrent topics in Haris Shuaib's work include Radiomics and Machine Learning in Medical Imaging (5 papers), Artificial Intelligence in Healthcare and Education (5 papers) and Glioma Diagnosis and Treatment (4 papers). Haris Shuaib is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), Artificial Intelligence in Healthcare and Education (5 papers) and Glioma Diagnosis and Treatment (4 papers). Haris Shuaib collaborates with scholars based in United Kingdom, United States and Australia. Haris Shuaib's co-authors include Thomas C. Booth, Matthew Williams, K. Ashkan, M. Jorge Cardoso, Geoff Charles‐Edwards, Louise M. Goff, Brandon Whitcher, Keyoumars Ashkan, James Teo and Lucy Brazil and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Clinical Nutrition and BMJ Open.

In The Last Decade

Haris Shuaib

14 papers receiving 225 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Haris Shuaib United Kingdom 7 87 75 44 29 29 15 226
Chloe Gui Canada 6 28 0.3× 35 0.5× 19 0.4× 19 0.7× 28 1.0× 20 202
Constantine Tarabanis United States 8 22 0.3× 24 0.3× 10 0.2× 13 0.4× 14 0.5× 24 262
Marianna Inglese Italy 11 121 1.4× 12 0.2× 15 0.3× 74 2.6× 28 1.0× 25 303
Shumei Miao China 9 48 0.6× 5 0.1× 27 0.6× 13 0.4× 3 0.1× 23 274
Floris Chabrun France 11 9 0.1× 16 0.2× 12 0.3× 56 1.9× 17 0.6× 25 264
Eric H. Souied France 12 321 3.7× 33 0.4× 24 0.5× 12 0.4× 28 1.0× 29 507
Nikolaos Tzoumas United Kingdom 8 82 0.9× 5 0.1× 14 0.3× 16 0.6× 2 0.1× 15 282
O. Yu. Rebrova Russia 7 16 0.2× 3 0.0× 20 0.5× 54 1.9× 7 0.2× 69 233
Joy Jiang United States 6 15 0.2× 4 0.1× 209 4.8× 36 1.2× 11 0.4× 9 388
Vincent Benoît France 9 6 0.1× 13 0.2× 19 0.4× 30 1.0× 7 0.2× 11 270

Countries citing papers authored by Haris Shuaib

Since Specialization
Citations

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

Fields of papers citing papers by Haris Shuaib

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haris Shuaib

This figure shows the co-authorship network connecting the top 25 collaborators of Haris Shuaib. A scholar is included among the top collaborators of Haris Shuaib 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 Haris Shuaib. Haris Shuaib is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Ramnarine, Kumar V., F. Fedele, Ian Honey, et al.. (2025). Independent Evaluation of a Commercial AI Software for Incidental Findings of Pulmonary Embolism (IPE) on a Large Hospital Retrospective Dataset. Radiology Research and Practice. 2025(1). 9091895–9091895.
2.
Miller, Robert, et al.. (2025). Artificial intelligence and machine learning capabilities in the detection of acute scaphoid fracture: a critical review. Journal of Hand Surgery (European Volume). 50(8). 1129–1133. 2 indexed citations
3.
Vimalesvaran, Kavitha, Mark Harrison, Sarim Ather, et al.. (2024). Assessing the effectiveness of artificial intelligence (AI) in prioritising CT head interpretation: study protocol for a stepped-wedge cluster randomised trial (ACCEPT-AI). BMJ Open. 14(6). e078227–e078227. 1 indexed citations
4.
Kraljević, Željko, Anthony Shek, Joshua Au Yeung, et al.. (2023). Validating Transformers for Redaction of Text from Electronic Health Records in Real-World Healthcare. 544–549. 2 indexed citations
5.
Booth, Thomas C., Mariusz Grzeda, Alysha Chelliah, et al.. (2022). Imaging Biomarkers of Glioblastoma Treatment Response: A Systematic Review and Meta-Analysis of Recent Machine Learning Studies. Frontiers in Oncology. 12. 799662–799662. 22 indexed citations
6.
Zhang, Joe, et al.. (2022). Addressing the “elephant in the room” of AI clinical decision support through organisation-level regulation. SHILAP Revista de lepidopterología. 1(9). e0000111–e0000111. 3 indexed citations
7.
Zhang, Joe, Sanjay Budhdeo, William Wasswa, et al.. (2022). Moving towards vertically integrated artificial intelligence development. npj Digital Medicine. 5(1). 143–143. 21 indexed citations
8.
Fry, Anna, Jon Shelton, Thomas C. Booth, et al.. (2022). Imaging in patients with glioblastoma: A national cohort study. Neuro-Oncology Practice. 9(6). 487–495. 5 indexed citations
9.
10.
Booth, Thomas C., et al.. (2020). Glioblastoma post-operative imaging in neuro-oncology: current UK practice (GIN CUP study). European Radiology. 31(5). 2933–2943. 23 indexed citations
11.
Booth, Thomas C., et al.. (2019). Machine learning and glioma imaging biomarkers. Clinical Radiology. 75(1). 20–32. 65 indexed citations
12.
Shuaib, Haris, Janet L. Peacock, A. Margot Umpleby, et al.. (2019). Ethnic differences in hepatic, pancreatic, muscular and visceral fat deposition in healthy men of white European and black west African ethnicity. Diabetes Research and Clinical Practice. 156. 107866–107866. 19 indexed citations
13.
Bonadonna, Riccardo C., Fariba Shojaee‐Moradie, Nicola Jackson, et al.. (2019). Ethnic differences in intrahepatic lipid and its association with hepatic insulin sensitivity and insulin clearance between men of black and white ethnicity with early type 2 diabetes. Diabetes Obesity and Metabolism. 21(9). 2163–2168. 17 indexed citations
14.
Charles‐Edwards, Geoff, et al.. (2017). Associations between regional and whole-body fat and insulin sensitivity in type 2 diabetic men of White and Black ethnicity. Proceedings of The Nutrition Society. 76(OCE4). 2 indexed citations
15.
Charles‐Edwards, Geoff, et al.. (2017). Intramyocellular lipid and its relationship with insulin sensitivity and fat in type 2 diabetic men of White and Black ethnicity. Proceedings of The Nutrition Society. 76(OCE4). 2 indexed citations

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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