Richard Pitman

2.4k citations
38 papers · 1.6k · h-index 22

Impact in

Papers in

    • Influenza Virus Research Studies 12
    • Respiratory viral infections research 4
    • SARS-CoV-2 and COVID-19 Research 3
    • Tuberculosis Research and Epidemiology 3

Richard Pitman

35 papers receiving 1.5k citations

Peers

Richard Pitman
Comparison fields: 5 of 109
  • Modeling and Simulation 324
  • Virology 105
  • Epidemiology 703
  • Infectious Diseases 299
  • Health 119
Replace Joan Puig‐Barberà with:
Joan Puig‐Barberà Spain
Gregory S. Wallace United States
Séverine Ansart France
Amy Parker Fiebelkorn United States
Manisha Patel United States
Nicholas S. Kelley United States
Anja Poulsen Denmark
A.M. Palache Netherlands
William Walker Atkinson United States
Camille Pelat France
Richard Pitman relative to Joan Puig‐Barberà Spain Joan Puig‐Barberà's profile →
Citations per field
00.5×3.9×
Joan Puig‐Barberà · 1×
Citations per year

Countries citing papers authored by Richard Pitman

Since Specialization
Citations

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

Fields of papers citing papers by Richard Pitman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006234
2 2012156
3 2006129
4 2012108
5 201892
6 200573
7 200871
8 201570
9 199565
10 201259
11 201748
12 201147
13 199943
14 199642
15 199439
16 201537
17 200332
18
Screening programmes for tuberculosis in new entrants across Europe.
200430
19 201629
20
Molecular epidemiology of tuberculosis in England, 1998.
200922

About Richard Pitman

Richard Pitman is a scholar working on Epidemiology, Infectious Diseases, Health, Modeling and Simulation and Virology, having authored 38 papers that have together received 1.6k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (12 papers), Vaccine Coverage and Hesitancy (6 papers), COVID-19 epidemiological studies (5 papers), Respiratory viral infections research (4 papers), HIV Research and Treatment (4 papers), T-cell and B-cell Immunology (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Tuberculosis Research and Epidemiology (3 papers). The work is most often cited by research in Modeling and Simulation (324 citations), Virology (105 citations), Epidemiology (703 citations), Infectious Diseases (299 citations) and Health (119 citations). Richard Pitman has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Nigel Gay, W. John Edmunds, Ben S. Cooper, Maarten J. Postma, Gregory S. Zaric, Mirjam Kretzschmar, Marc Brisson, David N. Fisman, John Edmunds and Mark Sculpher. Their work appears in journals such as Value in Health, Vaccine, AIDS, European Journal of Pediatrics and Influenza and Other Respiratory Viruses.

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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