Mark Ferris

969 citations
14 papers · 628 · h-index 8

Impact in

    • COVID-19 epidemiological studies
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing
    • Infection Control in Healthcare

Papers in

Mark Ferris

13 papers receiving 616 citations

Peers

Mark Ferris
Comparison fields: 5 of 64
  • Modeling and Simulation 197
  • Infectious Diseases 406
  • General Dentistry 6
  • Pulmonary and Respiratory Medicine 95
  • Health 15
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Nick K Jones United Kingdom
Lucy Rivett United Kingdom
Jennifer Martin Ireland
Natalie Quinnell United Kingdom
Giles Wright United Kingdom
Lenette Mactavous United Kingdom
Sarah L. Rudman United States
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M. Claire Jarashow United States
Alexander Grassam-Rowe United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Mark Ferris

Since Specialization
Citations

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

Fields of papers citing papers by Mark Ferris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Mark Ferris, 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 Ferris Line = papers co-authored together Mark Ferris links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2020395
2 202153
3 202044
4 202140
5 202231
6 202121
7 202111
8 202210
9 20228
10 20216
11 20224
12 20153
13 20212
14 20200

About Mark Ferris

Mark Ferris is a scholar working on Modeling and Simulation, Infectious Diseases, Health, Pulmonary and Respiratory Medicine and General Health Professions, having authored 14 papers that have together received 628 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), COVID-19 epidemiological studies (5 papers), Infection Control in Healthcare (3 papers), Infection Control and Ventilation (2 papers), scientometrics and bibliometrics research (1 paper), COVID-19 Clinical Research Studies (1 paper), Stress and Burnout Research (1 paper) and Hepatitis B Virus Studies (1 paper). The work is most often cited by research in Modeling and Simulation (197 citations), Infectious Diseases (406 citations), General Dentistry (6 citations), Pulmonary and Respiratory Medicine (95 citations) and Health (15 citations). Mark Ferris has collaborated with scholars based in United Kingdom, Germany and Sweden. Frequent co-authors include Azeem Majeed, Michael P. Weekes, Ashley S. Shaw, Nicholas J. Matheson, Christopher J. R. Illingworth, Geraldine Martell, Parth Patel, Natalie Quinnell, David Enoch and Stephen G. Baker. Their work appears in journals such as eLife, BMJ, Scandinavian Journal of Work Environment & Health, Occupational and Environmental Medicine and Nature Communications.

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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