Michael Ben‐Meir

424 total citations
17 papers, 297 citations indexed

About

Michael Ben‐Meir is a scholar working on Health Information Management, General Health Professions and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Michael Ben‐Meir has authored 17 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Health Information Management, 6 papers in General Health Professions and 6 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Michael Ben‐Meir's work include Electronic Health Records Systems (7 papers), Healthcare Systems and Technology (6 papers) and Emergency and Acute Care Studies (4 papers). Michael Ben‐Meir is often cited by papers focused on Electronic Health Records Systems (7 papers), Healthcare Systems and Technology (6 papers) and Emergency and Acute Care Studies (4 papers). Michael Ben‐Meir collaborates with scholars based in Australia and United Kingdom. Michael Ben‐Meir's co-authors include Margaret Staples, Katie Walker, David Phillips, David McD Taylor, De Villiers Smit, Peter Cameron, Shefton Parker, Marc Cohen, Charlie Changli Xue and Danny Liew and has published in prestigious journals such as BMJ, The Medical Journal of Australia and Journal of Medical Systems.

In The Last Decade

Michael Ben‐Meir

17 papers receiving 291 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Ben‐Meir Australia	11	113	90	60	56	45	17	297
Mary Hook United States	9	68 0.6×	152 1.7×	16 0.3×	66 1.2×	5 0.1×	26	306
Bryan A. Wilbanks United States	8	85 0.8×	71 0.8×	11 0.2×	57 1.0×	2 0.0×	29	270
Rianne J. Zaal Netherlands	13	148 1.3×	27 0.3×	15 0.3×	35 0.6×	2 0.0×	20	490
Kari Håvelsrud Norway	7	19 0.2×	128 1.4×	5 0.1×	89 1.6×	25 0.6×	21	319
Andrea Hämmerlein Germany	7	9 0.1×	41 0.5×	10 0.2×	16 0.3×	9 0.2×	8	403
A N Goudswaard Netherlands	9	17 0.2×	93 1.0×	13 0.2×	67 1.2×	2 0.0×	41	523
Gunnar Nilsson Sweden	11	10 0.1×	85 0.9×	21 0.3×	45 0.8×	9 0.2×	19	301
Richard Croker United Kingdom	9	9 0.1×	94 1.0×	20 0.3×	138 2.5×	6 0.1×	21	300
Anne Skinner United States	9	92 0.8×	56 0.6×	33 0.6×	37 0.7×		18	302
Kristie Cramer Canada	6	5 0.0×	51 0.6×	23 0.4×	32 0.6×	32 0.7×	9	294

Countries citing papers authored by Michael Ben‐Meir

Since Specialization

Citations

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

Fields of papers citing papers by Michael Ben‐Meir

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Ben‐Meir. 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 Michael Ben‐Meir. The network helps show where Michael Ben‐Meir may publish in the future.

Co-authorship network of co-authors of Michael Ben‐Meir

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

All Works

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17 of 17 papers shown

Mullins, Alexandra K., et al.. (2022). The effect of My Health Record use in the emergency department on clinician-assessed patient care: results from a survey. BMC Medical Informatics and Decision Making. 22(1). 178–178. 3 indexed citations

Mullins, Alexandra K., Heather Morris, Cate Bailey, et al.. (2021). Physicians’ and pharmacists’ use of My Health Record in the emergency department: results from a mixed-methods study. Health Information Science and Systems. 9(1). 19–19. 11 indexed citations

Mullins, Alexandra K., Heather Morris, Joanne Enticott, et al.. (2021). Use of My Health Record by Clinicians in the Emergency Department: An Analysis of Log Data. Frontiers in Digital Health. 3. 725300–725300. 2 indexed citations

Buchbinder, Rachelle, Allison Bourne, Margaret Staples, et al.. (2021). Management of patients presenting with low back pain to a private hospital emergency department in Melbourne, Australia. Emergency Medicine Australasia. 34(2). 157–163. 18 indexed citations

Mullins, Alexandra K., et al.. (2020). Health Outcomes and Healthcare Efficiencies Associated with the Use of Electronic Health Records in Hospital Emergency Departments: a Systematic Review. Journal of Medical Systems. 44(12). 200–200. 24 indexed citations

Walker, Katie, Michael Ben‐Meir, Adam West, et al.. (2019). Impact of scribes on emergency medicine doctors’ productivity and patient throughput: multicentre randomised trial. BMJ. 364. l121–l121. 35 indexed citations

Walker, Katie, et al.. (2019). Australian private emergency departments can assist ambulance services by taking public emergency patients during surge and disasters. Emergency Medicine Australasia. 31(5). 886–888. 1 indexed citations

Fisher, Leon, et al.. (2018). Konjac flour noodles associated with gastric outlet obstruction. Emergency Medicine Australasia. 30(2). 283–284. 1 indexed citations

Ben‐Meir, Michael, et al.. (2017). Emergency consultants value medical scribes and most prefer to work with them, a few would rather not: a qualitative Australian study. Emergency Medicine Journal. 35(1). 12–17. 10 indexed citations

10.

Walker, Katie, et al.. (2017). Feasibility evaluation of a pilot scribe-training program in an Australian emergency department*. Australian Health Review. 42(2). 210–217. 4 indexed citations

11.

Wang, Andrew, et al.. (2017). The 9-Item Physician Documentation Quality Instrument (PDQI-9) score is not useful in evaluating EMR (scribe) note quality in Emergency Medicine. Applied Clinical Informatics. 8(3). 981–993. 21 indexed citations

12.

Staples, Margaret, et al.. (2017). Medical scribes have no impact on the patient experience of an emergency department. Emergency Medicine Australasia. 30(1). 61–66. 22 indexed citations

13.

Cohen, Marc, De Villiers Smit, Nick Andrianopoulos, et al.. (2017). Acupuncture for analgesia in the emergency department: a multicentre, randomised, equivalence and non‐inferiority trial. The Medical Journal of Australia. 206(11). 494–499. 44 indexed citations

14.

Walker, Katie, Danny Liew, Margaret Staples, et al.. (2016). An economic evaluation of the costs of training a medical scribe to work in Emergency Medicine. Emergency Medicine Journal. 33(12). 865–869. 28 indexed citations

15.

Walker, Katie, Michael Ben‐Meir, David Phillips, & Margaret Staples. (2016). Medical scribes in emergency medicine produce financially significant productivity gains for some, but not all emergency physicians. Emergency Medicine Australasia. 28(3). 262–267. 22 indexed citations

16.

Walker, Katie, et al.. (2014). Scribes in an Australian private emergency department: A description of physician productivity. Emergency Medicine Australasia. 26(6). 543–548. 30 indexed citations

17.

Cohen, Marc, Shefton Parker, David McD Taylor, et al.. (2011). Acupuncture as analgesia for low back pain, ankle sprain and migraine in emergency departments: Study protocol for a randomized controlled trial. Trials. 12(1). 241–241. 21 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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