Chris Barber

68 papers receiving 457 citations

Hit Papers

The impact of nuance DAX ambient listening AI documentation: a cohort study 2024 · 64 citations
640+1Years since publication204060

Peers

Chris Barber
Comparison fields: 5 of 115
  • Health Informatics 33
  • Radiological and Ultrasound Technology 63
  • Medical Laboratory Technology 13
  • Health, Toxicology and Mutagenesis 105
  • Chemical Health and Safety 5
Replace Ian G. Munabi with:
Ian G. Munabi Uganda
Queralt Miró Catalina Spain
Tonya Thompson United States
Cristina Silva Sousa Brazil
José María Ramada Spain
Kate C. Morgaine New Zealand
Rita Marie John United States
Samira Mohammadi Iran
Oranicha Jumreornvong United States
Martina Michaelis Germany
Chris Barber relative to Ian G. Munabi Uganda Ian G. Munabi's profile →
Citations per field
00.5×10.5×
Ian G. Munabi · 1×
Citations per year

Countries citing papers authored by Chris Barber

Since Specialization
Citations

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

Fields of papers citing papers by Chris Barber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chris Barber, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chris Barber Line = papers co-authored together Chris Barber links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The impact of nuance DAX ambient listening AI documentation: a cohort study
Hit paper breakdown →
202464
2 201136
3 201135
4 201522
5 201520
6 200116
7 201716
8 201016
9 200614
10 200612
11 201112
12 200712
13 201911
14 201411
15 201211
16 20059
17 20129
18 20238
19 20138
20 20108

About Chris Barber

Chris Barber is a scholar working on Public Health, Environmental and Occupational Health, Clinical Psychology, Pulmonary and Respiratory Medicine, Sociology and Political Science and Health, having authored 103 papers that have together received 495 indexed citations. Recurring topics across this work include Occupational exposure and asthma (23 papers), Religion, Spirituality, and Psychology (13 papers), Occupational and environmental lung diseases (11 papers), Family and Disability Support Research (10 papers), Air Quality and Health Impacts (8 papers), Palliative Care and End-of-Life Issues (8 papers), Contact Dermatitis and Allergies (7 papers) and Occupational Health and Safety Research (7 papers). The work is most often cited by research in Health Informatics (33 citations), Radiological and Ultrasound Technology (63 citations), Medical Laboratory Technology (13 citations), Health, Toxicology and Mutagenesis (105 citations) and Chemical Health and Safety (5 citations). Chris Barber has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include David Fishwick, Lisa Bradshaw, Anil Adisesh, Jon G. Ayres, Elizabeth Murphy, A. D. Curran, J. Harris‐Roberts, Gregory L. Snow, Roger Rawbone and Charlotte Young. Their work appears in journals such as Occupational Medicine, Occupational and Environmental Medicine, Primary Care Respiratory Journal, American Journal of Industrial Medicine and Seminars in Respiratory and Critical Care Medicine.

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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