Maria Barton

31 papers receiving 318 citations

Peers

Maria Barton
Comparison fields: 5 of 86
  • Emergency Medical Services 106
  • Management Information Systems 39
  • Medical Laboratory Technology 6
  • Management Science and Operations Research 43
  • Health Information Management 14
Replace Rebecca Kush with:
Rebecca Kush United States
Danhong Liu China
Frédéric Grimaud France
Xiaopei Zhang China
Oleg Metsker Russia
Eliot Kimber United Kingdom
Ohad Perry United States
J. Dudeck Germany
Jeffrey G. Klann United States
Wolfgang Kuchinke Germany
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Citations per year

Countries citing papers authored by Maria Barton

Since Specialization
Citations

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

Fields of papers citing papers by Maria Barton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Maria Barton, 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 Maria Barton Line = papers co-authored together Maria Barton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201146
2 201241
3 201427
4 201219
5 201919
6 201418
7 201418
8 201617
9 202017
10 201114
11 201010
12 20109
13 20108
14 20117
15 20196
16
Modelling stroke patient pathways using survival analysis and simulation modelling
20096
17
Modelling and simulation techniques for supporting healthcare decision making: a selection framework
20096
18 20106
19 20085
20 20104

About Maria Barton

Maria Barton is a scholar working on Emergency Medical Services, Molecular Biology, Epidemiology, Public Health, Environmental and Occupational Health and Artificial Intelligence, having authored 31 papers that have together received 322 indexed citations. Recurring topics across this work include Healthcare Operations and Scheduling Optimization (9 papers), Clinical practice guidelines implementation (5 papers), Machine Learning in Healthcare (4 papers), RNA modifications and cancer (3 papers), Bayesian Methods and Mixture Models (3 papers), Cancer Risks and Factors (3 papers), Amyotrophic Lateral Sclerosis Research (2 papers) and Statistical Methods and Inference (2 papers). The work is most often cited by research in Emergency Medical Services (106 citations), Management Information Systems (39 citations), Medical Laboratory Technology (6 citations), Management Science and Operations Research (43 citations) and Health Information Management (14 citations). Maria Barton has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Sally McClean, Lalit Garg, Ken Fullerton, Brian J. Meenan, José Russo, Jennifer Z. Gillespie, Julia Santucci-Pereira, Bryan Scotney, Yanrong Su and John Kearney. Their work appears in journals such as Cancer Research, Analytical and Bioanalytical Chemistry, Health Care Management Science, IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans and In Vitro Cellular & Developmental Biology - Animal.

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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