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.
Mycobacterium abscessus: a new antibiotic nightmare
This map shows the geographic impact of Alan Murray'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 Alan Murray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan Murray more than expected).
This network shows the impact of papers produced by Alan Murray. 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 Alan Murray. The network helps show where Alan Murray may publish in the future.
Co-authorship network of co-authors of Alan Murray
This figure shows the co-authorship network connecting the top 25 collaborators of Alan Murray.
A scholar is included among the top collaborators of Alan Murray 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 Alan Murray. Alan Murray is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Liu, Chengyu, Dingchang Zheng, Clive Griffiths, & Alan Murray. (2014). Oscillometric waveform difference between cuff inflation and deflation during blood pressure measurement. Computing in Cardiology. 849–852.6 indexed citations
7.
Liu, Chengyu, Dingchang Zheng, Peng Li, et al.. (2013). Is cross-sample entropy a valid measure of synchronization between sequences of RR interval and pulse transit time?. Pure (Coventry University). 939–942.6 indexed citations
8.
Zheng, Dingchang, Luigi Yuri Di Marco, & Alan Murray. (2012). Blood pressure difference between the measurements taken during cuff inflation and deflation. Computing in Cardiology Conference. 729–732.4 indexed citations
9.
Marco, Luigi Yuri Di, et al.. (2011). Time-frequency analysis of atrial fibrillation comparing morphology-clustering based QRS-T cancellation with blind source separation in multi-lead surface ECG recordings. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 269–272.1 indexed citations
10.
Zheng, Dingchang, et al.. (2010). Asymmetrical oscillometric pulse waveform envelopes in normotensive and hypertensive subjects. Pure (Coventry University). 377–380.4 indexed citations
11.
Murray, Alan. (2009). Computing in Cardiology. Computing in Cardiology.3 indexed citations
Murray, Alan & Christopher C. Barton. (2007). How Fractal are Coastlines Really? Observation and Theory. AGU Fall Meeting Abstracts. 2007.1 indexed citations
15.
Langley, Philip, et al.. (2006). Fully automated computer measurement of QT interval from the 12-lead electrocardiogram. Computing in Cardiology Conference. 345–348.5 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.