Dávid Paár

1.8k citations
55 papers · 1.3k indexed · h-index 17

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • HIV/AIDS Research and Interventions
    • HIV/AIDS drug development and treatment

Papers in

Dávid Paár

50 papers receiving 1.3k citations

Peers

Dávid Paár
Comparison fields: 5 of 112
  • Virology 149
  • Infectious Diseases 411
  • Epidemiology 675
  • Internal Medicine 67
  • Hepatology 100
Replace Edward P. Notari with:
Edward P. Notari United States
Maximilian Muenchhoff Germany
Danielle Moulia United States
James Hakim Zimbabwe
Robert Downing Uganda
M G Brook United Kingdom
H K Atrash United States
Abdel Babiker United Kingdom
Irene Andia Biraro Uganda
Sara Whitehead United States
Dávid Paár relative to Edward P. Notari United States Edward P. Notari's profile →
Citations per field
00.5×3.5×
Edward P. Notari · 1×
Citations per year

Countries citing papers authored by Dávid Paár

Since Specialization
Citations

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

Fields of papers citing papers by Dávid Paár

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20230
3 20230
4 20226
5 20221
6 20222
7 20216
8 202013
9
Research of economic burdens linked to physical inactivity
20110
10 20114
11 201110
12 201043
13 201076
14 200913
15 20083
16 200853
17 200713
18 20031
19 200212
20 199585

About Dávid Paár

Dávid Paár is a scholar working on Virology, Geography, Planning and Development, Infectious Diseases, Emergency Medicine and Epidemiology, having authored 55 papers that have together received 1.3k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (10 papers), Hungarian Social, Economic and Educational Studies (9 papers), HIV Research and Treatment (9 papers), HIV/AIDS drug development and treatment (6 papers), Physical Activity and Health (6 papers), Hepatitis B Virus Studies (5 papers), HIV-related health complications and treatments (5 papers) and Obesity, Physical Activity, Diet (4 papers). The work is most often cited by research in Virology (149 citations), Infectious Diseases (411 citations), Epidemiology (675 citations), Internal Medicine (67 citations) and Hepatology (100 citations). Dávid Paár has collaborated with scholars based in United States, Hungary and Vietnam. Frequent co-authors include Jacques Baillargeon, Donald M. Poretz, Penelope Ward, Frederick G. Hayden, Roger Mills, Les Huson, Robert L. Atmar, Casey Johnson, M. Schilling and Amy Jo Harzke. Their work appears in journals such as International Journal of Environmental Research and Public Health, Journal of Community Health Nursing, Annals of Epidemiology, Public Health Reports and The Journal of Infectious Diseases.

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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