Mark Gallivan

1.3k citations
16 papers · 715 · 1 hit paper · h-index 8

Impact in

Papers in

Mark Gallivan

15 papers receiving 675 citations

Mark Gallivan's Hit Papers

Pandemics: Risks, Impacts, and Mitigation 2017 · 348 citations
3480+3+6Years since publication100200300

Peers

Mark Gallivan
Comparison fields: 5 of 120
  • Modeling and Simulation 137
  • Infectious Diseases 150
  • Emergency Medical Services 36
  • Health 40
  • Economics and Econometrics 145
Replace Nita Madhav with:
Nita Madhav United States
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Nirmal Kandel Switzerland
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Ernesto Gozzer Peru
Priyanka Pulla
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Mark Gallivan relative to Nita Madhav United States Nita Madhav's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mark Gallivan

Since Specialization
Citations

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

Fields of papers citing papers by Mark Gallivan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1
Pandemics: Risks, Impacts, and Mitigation
Hit paper breakdown →
2017348
2 2019157
3 201798
4 201541
5 202116
6 201616
7 201912
8 202210
9
Physician offices invade clinical laboratory market.
19855
10 20234
11 20133
12 20152
13
Inpatient use declines: persistent but slower.
19871
14
Technology planning: an imperative, not an option.
19861
15
Self-insurance wave continues.
19861
16 20250

About Mark Gallivan

Mark Gallivan is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Surgery, Ophthalmology and Modeling and Simulation, having authored 16 papers that have together received 715 indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (3 papers), Infectious Diseases and Tuberculosis (3 papers), COVID-19 epidemiological studies (3 papers), Tuberculosis Research and Epidemiology (2 papers), Zoonotic diseases and public health (2 papers), Viral Infections and Outbreaks Research (2 papers), Retinal Imaging and Analysis (1 paper) and Retinal and Optic Conditions (1 paper). The work is most often cited by research in Modeling and Simulation (137 citations), Infectious Diseases (150 citations), Emergency Medical Services (36 citations), Health (40 citations) and Economics and Econometrics (145 citations). Mark Gallivan has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Ben Oppenheim, Nita Madhav, Nathan Wolfe, Prime Mulembakani, Edward M. Rubin, Patrick Ayscue, Neha Shah, Jennifer Flood, Theodore Leng and Linda M. O’Keeffe. Their work appears in journals such as Open Forum Infectious Diseases, Ophthalmic surgery, lasers & imaging retina, BMJ Global Health, Ophthalmology and Therapy and Journal of Public Health Management and Practice.

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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