A. Wallis

410 total citations
9 papers, 255 citations indexed

About

A. Wallis is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Critical Care and Intensive Care Medicine. According to data from OpenAlex, A. Wallis has authored 9 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 4 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Critical Care and Intensive Care Medicine. Recurrent topics in A. Wallis's work include Radiology practices and education (3 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Ultrasound in Clinical Applications (2 papers). A. Wallis is often cited by papers focused on Radiology practices and education (3 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Ultrasound in Clinical Applications (2 papers). A. Wallis collaborates with scholars based in United Kingdom and Australia. A. Wallis's co-authors include Paul McCoubrie, Anthony Edey, Clare Hooper, Andrew R L Medford, Paul White, Nick Maskell, John Harvey, Natalie Zahan-Evans, Anna Morley and Mike Darby and has published in prestigious journals such as BMJ, European Respiratory Journal and Radiotherapy and Oncology.

In The Last Decade

A. Wallis

8 papers receiving 247 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. Wallis United Kingdom	6	137	116	38	36	34	9	255
Brian Gale United States	6	217 1.6×	38 0.3×	24 0.6×	32 0.9×	14 0.4×	8	286
Jana Taylor Canada	7	176 1.3×	153 1.3×	32 0.8×	6 0.2×	16 0.5×	20	260
Bart Ilsen Belgium	11	78 0.6×	141 1.2×	27 0.7×	8 0.2×	23 0.7×	35	292
Michael J. Neep Australia	11	264 1.9×	46 0.4×	95 2.5×	18 0.5×	18 0.5×	19	290
Xun Ding China	7	121 0.9×	61 0.5×	39 1.0×	6 0.2×	21 0.6×	18	284
Danielle Toussie United States	6	243 1.8×	140 1.2×	64 1.7×	30 0.8×	26 0.8×	18	418
Anne-Marie Culpan United Kingdom	6	99 0.7×	81 0.7×	65 1.7×	4 0.1×	76 2.2×	7	251
Natalie L. Demirjian United States	9	165 1.2×	94 0.8×	23 0.6×	11 0.3×	22 0.6×	16	284
Maurizio Balbi Italy	10	165 1.2×	115 1.0×	84 2.2×	11 0.3×	28 0.8×	32	360
Álvaro Perez-Moreno Spain	8	78 0.6×	67 0.6×	32 0.8×	17 0.5×	73 2.1×	11	225

Countries citing papers authored by A. Wallis

Since Specialization

Citations

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

Fields of papers citing papers by A. Wallis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Wallis

This figure shows the co-authorship network connecting the top 25 collaborators of A. Wallis. A scholar is included among the top collaborators of A. Wallis 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 A. Wallis. A. Wallis 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

1.

Spennemann, Dirk, et al.. (2024). ChatGPT giving advice on how to cheat in university assignments: how workable are its suggestions?. Interactive Technology and Smart Education. 21(4). 690–707. 8 indexed citations

2.

Wallis, A., et al.. (2019). OC-109: Implementing a Pre-simulation Assessment Session for abdominal SABR: respiratory motion management. Radiotherapy and Oncology. 141. S47–S47. 1 indexed citations

3.

Wallis, A., et al.. (2015). The diagnosis and management of interstitial lung diseases. BMJ. 350(may07 17). h2072–h2072. 51 indexed citations

4.

Hooper, Clare, Anthony Edey, A. Wallis, et al.. (2015). Pleural irrigation trial (PIT): a randomised controlled trial of pleural irrigation with normal salineversusstandard care in patients with pleural infection. European Respiratory Journal. 46(2). 456–463. 46 indexed citations

5.

Wallis, A., Anthony Edey, D. Prothero, & Paul McCoubrie. (2013). The Bristol Radiology Report Assessment Tool (BRRAT): Developing a workplace-based assessment tool for radiology reporting skills. Clinical Radiology. 68(11). 1146–1154. 10 indexed citations

6.

Wallis, A. & Paul McCoubrie. (2012). Re: The radiology report — Are we getting the message across? A reply. Clinical Radiology. 67(7). 724–725. 2 indexed citations

7.

Mortimer, Alex, et al.. (2011). Multiphase multidetector CT in the diagnosis of haemobilia: a potentially catastrophic ruptured hepatic artery aneurysm complicating the treatment of a patient with locally advanced rectal cancer. British Journal of Radiology. 84(1001). e95–e98. 8 indexed citations

8.

Wallis, A. & Paul McCoubrie. (2011). The radiology report — Are we getting the message across?. Clinical Radiology. 66(11). 1015–1022. 128 indexed citations

9.

Wallis, A., et al.. (2010). Imaging transient ischaemic attack with diffusion weighted magnetic resonance imaging. BMJ. 340(apr30 1). c2215–c2215. 1 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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