Matthew Z. Dudley

2.4k citations
48 papers · 1.7k indexed · 2 hit papers · h-index 18

Matthew Z. Dudley

45 papers receiving 1.6k citations

Hit Papers

Vaccine hesitancy3202015202620182022100200300

Peers

Matthew Z. Dudley
Comparison fields: 5 of 113
  • Health 1.2k
  • Modeling and Simulation 225
  • Infectious Diseases 681
  • Obstetrics and Gynecology 144
  • Epidemiology 527
Replace Robert A. Bednarczyk with:
Robert A. Bednarczyk United States
Robert A. Bednarczyk United States
W Schulz United Kingdom
Gianmarco Troiano Italy
Lisa Fressard France
Dominique Gagnon Canada
Douglas J. Opel United States
Rose Wilson United Kingdom
Melanie Schuster Germany
Xiahong Zhao Singapore
Matthew Z. Dudley relative to Robert A. Bednarczyk United States Robert A. Bednarczyk's profile →
Citations per field
00.5×1.5×
Robert A. Bednarczyk · 1×
Citations per year

Countries citing papers authored by Matthew Z. Dudley

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Z. Dudley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew Z. Dudley. 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 Matthew Z. Dudley. The network helps show where Matthew Z. Dudley may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20243
4 20243
5 20237
6 20232
7 20232
8 202326
9 20233
10 20230
11 20228
12 20221
13 20229
14 20216
15 202161
16 2021148
17 201933
18 201911
19
Vaccine Hesitancybreakdown →
2015389
20
Vaccine hesitancybreakdown →
2015320

About Matthew Z. Dudley

Matthew Z. Dudley is a scholar working on Health, Infectious Diseases and Obstetrics and Gynecology, having authored 48 papers that have together received 1.7k indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (37 papers), SARS-CoV-2 and COVID-19 Research (16 papers), Influenza Virus Research Studies (14 papers), Misinformation and Its Impacts (9 papers), COVID-19 Impact on Reproduction (8 papers), Psychology of Moral and Emotional Judgment (5 papers), Ethics and Legal Issues in Pediatric Healthcare (5 papers) and COVID-19 epidemiological studies (4 papers). The work is most often cited by research in Health (1.2k citations), Modeling and Simulation (225 citations) and Infectious Diseases (681 citations). Matthew Z. Dudley has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Daniel A. Salmon, Saad B. Omer, Jason M. Glanz, Rupali J. Limaye, Sean T. O’Leary, Janesse Brewer, Mallory K. Ellingson, Neal A. Halsey, Kaige Dong and Xinghui Chen. Their work appears in journals such as American Journal of Epidemiology, The Journal of Infectious Diseases and Critical Care Medicine.

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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