Mark Joy

78 papers receiving 1.3k citations

Peers

Mark Joy
Comparison fields: 5 of 127
  • Emergency Medicine 148
  • General Economics, Econometrics and Finance 112
  • Computer Networks and Communications 261
  • Economics and Econometrics 316
  • Finance 113
Replace Angeliki Papana with:
Angeliki Papana Greece
Steven D. Pizer United States
Thomas Monks United Kingdom
Ludwig Kuntz Germany
David Bock Sweden
Tsair‐Wei Chien Taiwan
Jie Zheng United States
James M. Hutchinson Canada
Donald J. Willison Canada
Taeyoung Park South Korea
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Citations per field
00.5×10×15×18.6×
Angeliki Papana · 1×
Citations per year

Countries citing papers authored by Mark Joy

Since Specialization
Citations

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

Fields of papers citing papers by Mark Joy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011214
2 2000132
3 2020101
4 199995
5 200290
6 201965
7 201052
8 201950
9 201735
10 201828
11 201827
12 202224
13 199319
14 202216
15 202416
16 202215
17 202115
18 202115
19 201015
20 202015

About Mark Joy

Mark Joy is a scholar working on Health, General Economics, Econometrics and Finance, Emergency Medicine, Finance and Geriatrics and Gerontology, having authored 86 papers that have together received 1.4k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (11 papers), Neural Networks Stability and Synchronization (10 papers), SARS-CoV-2 and COVID-19 Research (8 papers), COVID-19 and healthcare impacts (7 papers), Vaccine Coverage and Hesitancy (7 papers), Global Financial Crisis and Policies (6 papers), COVID-19 Clinical Research Studies (6 papers) and Nonlinear Dynamics and Pattern Formation (5 papers). The work is most often cited by research in Emergency Medicine (148 citations), General Economics, Econometrics and Finance (112 citations), Computer Networks and Communications (261 citations), Economics and Econometrics (316 citations) and Finance (113 citations). Mark Joy has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Simon de Lusignan, Simon Jones, Richard Hobbs, V. Tavşanoglu, Oluwafunmi Akinyemi, Julian Sherlock, Dylan McGagh, Michael Feher, Maurizio Michael Habib and Harshana Liyanage. Their work appears in journals such as JMIR Public Health and Surveillance, PLoS ONE, Scandinavian Journal of Trauma Resuscitation and Emergency Medicine, The Lancet Regional Health - Europe and Colorectal Disease.

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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