Abdulrahim Mulla

664 total citations
9 papers, 87 citations indexed

About

Abdulrahim Mulla is a scholar working on Health Information Management, Infectious Diseases and Health. According to data from OpenAlex, Abdulrahim Mulla has authored 9 papers receiving a total of 87 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Health Information Management, 2 papers in Infectious Diseases and 2 papers in Health. Recurrent topics in Abdulrahim Mulla's work include SARS-CoV-2 and COVID-19 Research (2 papers), COVID-19 epidemiological studies (2 papers) and Electronic Health Records Systems (2 papers). Abdulrahim Mulla is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (2 papers), COVID-19 epidemiological studies (2 papers) and Electronic Health Records Systems (2 papers). Abdulrahim Mulla collaborates with scholars based in United Kingdom, Italy and Portugal. Abdulrahim Mulla's co-authors include Ben Glampson, Amit Kaura, Erik Mayer, Paul Aylin, Julian Redhead, Stephen J. Brett, Céire Costelloe, Alison Holmes, Elizabeth M. Williamson and Graham Cooke and has published in prestigious journals such as European Heart Journal, Sensors and Journal of the American Medical Informatics Association.

In The Last Decade

Abdulrahim Mulla

7 papers receiving 85 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Abdulrahim Mulla United Kingdom	4	41	32	28	18	11	9	87
Manasa Tripathy United Kingdom	6	20 0.5×	17 0.5×	54 1.9×	12 0.7×	9 0.8×	13	106
Dan Riesel Israel	3	38 0.9×	7 0.2×	39 1.4×	21 1.2×	18 1.6×	4	106
Renato de Ávila Kfouri Brazil	6	31 0.8×	40 1.3×	39 1.4×	4 0.2×	3 0.3×	24	101
Jacob Curran-Sebastian United Kingdom	4	98 2.4×	17 0.5×	31 1.1×	73 4.1×	8 0.7×	8	170
Nicholas Link United States	5	32 0.8×	16 0.5×	19 0.7×	32 1.8×	37 3.4×	5	115
Santosh Kumar Rauniyar Japan	7	18 0.4×	43 1.3×	25 0.9×	8 0.4×	4 0.4×	15	89
Reyna Klesh United States	3	170 4.1×	25 0.8×	16 0.6×	39 2.2×	4 0.4×	5	204
Bron Kisler United States	7	21 0.5×	47 1.5×	54 1.9×	3 0.2×	5 0.5×	8	121
Cecilia Okusi United Kingdom	6	35 0.9×	8 0.3×	29 1.0×	5 0.3×	9 0.8×	16	101
Bassey Edem Gambia	6	33 0.8×	69 2.2×	47 1.7×	29 1.6×	2 0.2×	12	122

Countries citing papers authored by Abdulrahim Mulla

Since Specialization

Citations

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

Fields of papers citing papers by Abdulrahim Mulla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abdulrahim Mulla

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

All Works

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9 of 9 papers shown

Haque, Md. Anwarul, et al.. (2025). Machine Learning-Based Shelf Life Estimator for Dates Using a Multichannel Gas Sensor: Enhancing Food Security. Sensors. 25(13). 4063–4063. 1 indexed citations

ElKelish, Walaa Wahid, et al.. (2024). National In-Country Value Certification and corporate sustainability. 61–66.

Kaura, Amit, Abdulrahim Mulla, Erik Mayer, et al.. (2024). Diagnostic and prognostic value of an ejection fraction adjusted for myocardial remodeling. Frontiers in Cardiovascular Medicine. 11. 1349338–1349338.

Kaura, Amit, Alistair Roddick, Ben Glampson, et al.. (2022). The prognostic significance of troponin level in patients with malignancy (NIHR Health Informatics Collaborative TROP-MALIGNANCY study). European Heart Journal. 43(Supplement_2). 1 indexed citations

Kaura, Amit, Adam Trickey, Anoop Shah, et al.. (2022). Comparing the longer-term effectiveness of a single dose of the Pfizer-BioNTech and Oxford-AstraZeneca COVID-19 vaccines across the age spectrum. EClinicalMedicine. 46. 101344–101344. 9 indexed citations

Neves, Ana Luísa, Pedro Pereira Rodrigues, Abdulrahim Mulla, et al.. (2021). Using electronic health records to develop and validate a machine-learning tool to predict type 2 diabetes outcomes: a study protocol. BMJ Open. 11(7). e046716–e046716. 6 indexed citations

Glampson, Ben, Amit Kaura, Abdulrahim Mulla, et al.. (2021). Assessing COVID-19 Vaccine Uptake and Effectiveness Through the North West London Vaccination Program: Retrospective Cohort Study. JMIR Public Health and Surveillance. 7(9). e30010–e30010. 46 indexed citations

McLeod, Monsey, Subrina Farah, Tej Sheth, et al.. (2021). Designing a continuous data-driven feedback and learning initiative to improve electronic prescribing: an interdisciplinary quality improvement study. International Journal of Pharmacy Practice. 29(Supplement_1). i18–i19. 1 indexed citations

Honeyford, Kate, Graham Cooke, Anne Kinderlerer, et al.. (2019). Evaluating a digital sepsis alert in a London multisite hospital network: a natural experiment using electronic health record data. Journal of the American Medical Informatics Association. 27(2). 274–283. 23 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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