Mustafa Suleyman

16.9k total citations · 1 hit paper
6 papers, 1.4k citations indexed

About

Mustafa Suleyman is a scholar working on Epidemiology, Artificial Intelligence and Nephrology. According to data from OpenAlex, Mustafa Suleyman has authored 6 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Epidemiology, 2 papers in Artificial Intelligence and 1 paper in Nephrology. Recurrent topics in Mustafa Suleyman's work include Clinical practice guidelines implementation (1 paper), Cardiac Arrest and Resuscitation (1 paper) and Acute Kidney Injury Research (1 paper). Mustafa Suleyman is often cited by papers focused on Clinical practice guidelines implementation (1 paper), Cardiac Arrest and Resuscitation (1 paper) and Acute Kidney Injury Research (1 paper). Mustafa Suleyman collaborates with scholars based in United Kingdom, United States and Italy. Mustafa Suleyman's co-authors include Dominic King, Alan Karthikesalingam, Christopher Kelly, Greg S. Corrado, Phil Blunsom, Edward Grefenstette, Karl Moritz Hermann, Rosalind Raine, Claire Nightingale and Geraint Rees and has published in prestigious journals such as Journal of Medical Internet Research, BMC Medicine and npj Digital Medicine.

In The Last Decade

Mustafa Suleyman

6 papers receiving 1.4k citations

Hit Papers

align trajectories

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.

Key challenges for delivering clinical impact with artificial intelligence

2019 1.3k citations Christopher Kelly, Alan Karthikesalingam et al. BMC Medicine profile →

Peers

Mustafa Suleyman

HI

AI

RNMI

HIM

PHEOH

Emma Chen United States

Jiming Xu China

Tariq Alqahtani Saudi Arabia

Abdulrahman Alshaya Saudi Arabia

Shuroug A. Alowais Saudi Arabia

Mohammed Alrashed Saudi Arabia

Nada Alsuhebany Saudi Arabia

Majed S. Al Yami Saudi Arabia

Luke Oakden‐Rayner Australia

Sumaya N. Almohareb Saudi Arabia

Emma Chen United States

Mustafa Suleyman

593 ×0.9

HI

456 ×0.9

AI

414 ×0.9

RNMI

133 ×0.7

HIM

133 ×1.0

PHEOH

Citations per year, relative to Mustafa Suleyman Mustafa Suleyman (= 1×) peers Emma Chen

Countries citing papers authored by Mustafa Suleyman

Since Specialization

Citations

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

Fields of papers citing papers by Mustafa Suleyman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mustafa Suleyman

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

All Works

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6 of 6 papers shown

1.

Suleyman, Mustafa, et al.. (2024). The Coming Wave. 20 indexed citations

2.

Connell, Alistair, Georgia Black, Hugh Montgomery, et al.. (2019). Implementation of a Digitally Enabled Care Pathway (Part 2): Qualitative Analysis of Experiences of Health Care Professionals. Journal of Medical Internet Research. 21(7). e13143–e13143. 23 indexed citations

3.

Connell, Alistair, Hugh Montgomery, Peter Martin, et al.. (2019). Evaluation of a digitally-enabled care pathway for acute kidney injury management in hospital emergency admissions. npj Digital Medicine. 2(1). 67–67. 27 indexed citations

4.

Kelly, Christopher, Alan Karthikesalingam, Mustafa Suleyman, Greg S. Corrado, & Dominic King. (2019). Key challenges for delivering clinical impact with artificial intelligence. BMC Medicine. 17(1). 195–195. 1273 indexed citations breakdown →

5.

Russell, Stuart, Tom Dietterich, Eric Horvitz, et al.. (2015). Letters to the Editor. AI Magazine. 36(4). 3–4. 7 indexed citations

6.

Grefenstette, Edward, Karl Moritz Hermann, Mustafa Suleyman, & Phil Blunsom. (2015). Learning to Transduce with Unbounded Memory. arXiv (Cornell University). 28. 1828–1836. 73 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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