Ahmed Salih

1.6k total citations · 1 hit paper
41 papers, 567 citations indexed

About

Ahmed Salih is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Health Informatics. According to data from OpenAlex, Ahmed Salih has authored 41 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 12 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Health Informatics. Recurrent topics in Ahmed Salih's work include Artificial Intelligence in Healthcare and Education (11 papers), Machine Learning in Healthcare (8 papers) and Explainable Artificial Intelligence (XAI) (8 papers). Ahmed Salih is often cited by papers focused on Artificial Intelligence in Healthcare and Education (11 papers), Machine Learning in Healthcare (8 papers) and Explainable Artificial Intelligence (XAI) (8 papers). Ahmed Salih collaborates with scholars based in United Kingdom, Italy and Iraq. Ahmed Salih's co-authors include Steffen E. Petersen, Zahra Raisi‐Estabragh, Ilaria Boscolo Galazzo, Karim Lekadir, Petia Radeva, Gloria Menegaz, Aaron M. Lee, Polyxeni Gkontra, Stefan Neubauer and Nicholas C. Harvey and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Ahmed Salih

36 papers receiving 552 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME

2024 199 citations Ahmed Salih, Zahra Raisi‐Estabragh et al. SHILAP Revista de lepidopterología profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ahmed Salih United Kingdom	11	127	100	93	71	59	41	567
Junhong Chen China	18	79 0.6×	92 0.9×	204 2.2×	28 0.4×	28 0.5×	59	737
Guy Handelman Ireland	5	163 1.3×	189 1.9×	91 1.0×	118 1.7×	14 0.2×	5	914
Raphaël Couronné France	6	126 1.0×	51 0.5×	59 0.6×	11 0.2×	16 0.3×	8	652
David A. Clifton United Kingdom	14	97 0.8×	24 0.2×	104 1.1×	17 0.2×	23 0.4×	36	510
Nadia Antonucci Italy	6	61 0.5×	57 0.6×	32 0.3×	28 0.4×	17 0.3×	6	459
Heewon Chung South Korea	17	176 1.4×	356 3.6×	226 2.4×	89 1.3×	47 0.8×	37	968
Deep Gupta India	23	152 1.2×	311 3.1×	378 4.1×	58 0.8×	17 0.3×	59	1.2k
Hema Sekhar Reddy Rajula Italy	5	65 0.5×	54 0.5×	31 0.3×	27 0.4×	12 0.2×	7	428
Vajira Thambawita Norway	10	247 1.9×	183 1.8×	91 1.0×	88 1.2×	7 0.1×	33	792

Countries citing papers authored by Ahmed Salih

Since Specialization

Citations

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

Fields of papers citing papers by Ahmed Salih

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ahmed Salih

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Salih, Ahmed, Jackie A. Cooper, Christopher R. S. Banerji, et al.. (2025). Clinical Phenotypes in Hypertension: A Data-Driven Approach to Risk Stratification. Hypertension. 1 indexed citations

Salih, Ahmed, et al.. (2025). Curcumin inhibits IFN-γ induced PD-L1 expression via reduction of STAT1 Phosphorylation in A549 non-small cell lung cancer cells. Saudi Pharmaceutical Journal. 33(3). 16–16.

Howard, James P., Qiang Zhang, Ahmed Salih, et al.. (2025). Artificial intelligence in cardiovascular imaging: risks, mitigations and the path to safe implementation. Heart. 112(5). 246–252. 3 indexed citations

Ponniah, Hariharan Subbiah, et al.. (2025). The diagnostic and prognostic capability of artificial intelligence in spinal cord injury: A systematic review. Brain and Spine. 5. 104208–104208. 2 indexed citations

Cheung, Hoi Ching, Muhammad Mohsin, Ahmed Salih, et al.. (2025). Automating real-time flow quantification and alias detection with deep learning. Journal of Cardiovascular Magnetic Resonance. 27. 101486–101486. 1 indexed citations

Raisi‐Estabragh, Zahra, Liliána Szabó, Celeste McCracken, et al.. (2024). Cardiovascular Magnetic Resonance Reference Ranges FBom the Healthy Hearts Consortium. Journal of Cardiovascular Magnetic Resonance. 26. 100770–100770.

Salih, Ahmed, Zahra Raisi‐Estabragh, Ilaria Boscolo Galazzo, et al.. (2024). A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME. SHILAP Revista de lepidopterología. 7(1). 199 indexed citations breakdown →

Salih, Ahmed, Ilaria Boscolo Galazzo, Gloria Menegaz, & André Altmann. (2024). Leukocyte Telomere Length and Cardiac Structure and Function: A Mendelian Randomization Study. Journal of the American Heart Association. 13(3). e032708–e032708. 2 indexed citations

Salih, Ahmed. (2024). Explainable Artificial Intelligence for Dependent Features: Additive Effects of Collinearity. 94–99.

10.

Chadalavada, Sucharitha, Ahmed Salih, Hafiz Naderi, et al.. (2024). Quality control of cardiac magnetic resonance imaging segmentation, feature tracking, aortic flow, and native T1 analysis using automated batch processing in the UK Biobank study. PubMed. 2(3). qyae094–qyae094. 3 indexed citations

11.

Salih, Ahmed, Gloria Menegaz, Thillagavathie Pillay, & Elaine M. Boyle. (2024). Explainable Artificial Intelligence in Paediatric: Challenges for the Future. Health Science Reports. 7(12). e70271–e70271. 3 indexed citations

12.

Salih, Ahmed, Ilaria Boscolo Galazzo, Polyxeni Gkontra, et al.. (2024). A review of evaluation approaches for explainable AI with applications in cardiology. Artificial Intelligence Review. 57(9). 240–240. 16 indexed citations

13.

Raisi‐Estabragh, Zahra, Liliána Szabó, Celeste McCracken, et al.. (2024). Cardiovascular Magnetic Resonance Reference Ranges From the Healthy Hearts Consortium. JACC. Cardiovascular imaging. 17(7). 746–762. 9 indexed citations

14.

Raisi‐Estabragh, Zahra, Liliána Szabó, Art Schuermans, et al.. (2024). Noninvasive Techniques for Tracking Biological Aging of the Cardiovascular System. JACC. Cardiovascular imaging. 17(5). 533–551. 10 indexed citations

15.

D’Angelo, Stefania, Ahmed Salih, Liliána Szabó, et al.. (2024). Bone health, cardiovascular disease, and imaging outcomes in UK Biobank: a causal analysis. JBMR Plus. 8(6). ziae058–ziae058. 3 indexed citations

16.

Ponniah, Hariharan Subbiah, Ahmed Salih, Darius Kalasauskas, et al.. (2024). Artificial intelligence in risk prediction and diagnosis of vertebral fractures. Scientific Reports. 14(1). 30560–30560. 10 indexed citations

17.

Salih, Ahmed, Zahra Raisi‐Estabragh, Nay Aung, et al.. (2023). Ischemic Heart Disease and Vascular Risk Factors Are Associated With Accelerated Brain Aging. JACC. Cardiovascular imaging. 16(7). 905–915. 17 indexed citations

18.

Salih, Ahmed, Víctor M. Campello, Celeste McCracken, et al.. (2023). Image‐Based Biological Heart Age Estimation Reveals Differential Aging Patterns Across Cardiac Chambers. Journal of Magnetic Resonance Imaging. 58(6). 1797–1812. 11 indexed citations

19.

Szabó, Liliána, Ahmed Salih, Celeste McCracken, et al.. (2023). Radiomics of pericardial fat: a new frontier in heart failure discrimination and prediction. European Radiology. 34(6). 4113–4126. 9 indexed citations

20.

Salih, Ahmed, Ilaria Boscolo Galazzo, Steffen E. Petersen, et al.. (2022). Telomere length is causally connected to brain MRI image derived phenotypes: A mendelian randomization study. PLoS ONE. 17(11). e0277344–e0277344. 3 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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