Matthew D. Rousculp

1.9k citations
60 papers · 1.5k · h-index 24

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 13
    • Viral gastroenteritis research and epidemiology 3
    • Influenza Virus Research Studies 13

Matthew D. Rousculp

56 papers receiving 1.4k citations

Peers

Matthew D. Rousculp
Comparison fields: 5 of 125
  • Health 177
  • Orthopedics and Sports Medicine 115
  • Ophthalmology 98
  • Epidemiology 356
  • Modeling and Simulation 45
Replace Fernando De Maio with:
Fernando De Maio Italy
Emmanouil K. Symvoulakis Greece
Jørgen Vinsløv Hansen Denmark
Domenica Matranga Italy
Marlen Yessirkepov Kazakhstan
Richard Fordham United Kingdom
Jiaying Chen China
Nidhi Bhatnagar India
Jeffrey Vietri United States
Rosa Legood United Kingdom
Matthew D. Rousculp relative to Fernando De Maio Italy Fernando De Maio's profile →
Citations per field
00.5×10×15×19.6×
Fernando De Maio · 1×
Citations per year

Countries citing papers authored by Matthew D. Rousculp

Since Specialization
Citations

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

Fields of papers citing papers by Matthew D. Rousculp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201099
2 200791
3 200489
4 200683
5 201079
6 200571
7 200868
8 200957
9 200854
10 200751
11 201051
12 200846
13 201045
14 200744
15 201142
16 200042
17 199441
18 201032
19 200728
20 200728

About Matthew D. Rousculp

Matthew D. Rousculp is a scholar working on Infectious Diseases, Epidemiology, Health, Orthopedics and Sports Medicine and Organizational Behavior and Human Resource Management, having authored 60 papers that have together received 1.5k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (13 papers), SARS-CoV-2 and COVID-19 Research (13 papers), Vaccine Coverage and Hesitancy (10 papers), Management and Organizational Studies (5 papers), Bone health and osteoporosis research (5 papers), Viral gastroenteritis research and epidemiology (3 papers), Pain Mechanisms and Treatments (3 papers) and Retinal Diseases and Treatments (3 papers). The work is most often cited by research in Health (177 citations), Orthopedics and Sports Medicine (115 citations), Ophthalmology (98 citations), Epidemiology (356 citations) and Modeling and Simulation (45 citations). Matthew D. Rousculp has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Parthiv J. Mahadevia, Shaohung Wang, Stacey R. Long, Seth Toback, John Cawley, Harry F. Hull, Kristin L. Nichol, Keith L. Davis, Matthew C. Hall and Emuella Flood. Their work appears in journals such as Vaccine, Value in Health, Vaccines, Diabetic Medicine and Academy of Management Perspectives.

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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