Arthur Nádas
Impact in
- Virology top 0.5%
- HIV Research and Treatment
-
- Air Quality and Health Impacts
- Climate Change and Health Impacts
Papers in
- Virology 33
- HIV Research and Treatment 33
-
- Speech Recognition and Synthesis 15
- Co-authors
- D. Nahamoo (16 shared papers)Kazuhiko Ito (4 shared papers)Isaac Meilijson (2 shared papers)Susan Zolla‐Pazner (25 shared papers)Michael Picheny (12 shared papers)Miroslaw K. Górny (16 shared papers)Phillipe N. Nyambi (15 shared papers)Morton Lippmann (4 shared papers)
- Journals
- Technometrics (10 papers)Journal of Virology (9 papers)PLoS ONE (5 papers)AIDS Research and Human Retroviruses (5 papers)Environmental Health Perspectives (5 papers)
- Partner nations
- United StatesCameroonIndia
In The Last Decade
Arthur Nádas
107 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 161
- Virology 767
- Health, Toxicology and Mutagenesis 702
- Signal Processing 466
- Immunology 449
- Artificial Intelligence 688
Countries citing papers authored by Arthur Nádas
This map shows the geographic impact of Arthur Nádas'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 Arthur Nádas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arthur Nádas more than expected).
Fields of papers citing papers by Arthur Nádas
This network shows the impact of papers produced by Arthur Nádas. 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 Arthur Nádas. The network helps show where Arthur Nádas may publish in the future.
Co-authors
The 25 scholars most cited alongside Arthur Nádas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 221 | |
| 2 | Association of particulate matter components with daily mortality and morbidity in urban populations. | 2000 | 166 |
| 3 | 1991 | 142 | |
| 4 | 1989 | 139 | |
| 5 | 2000 | 119 | |
| 6 | 2003 | 101 | |
| 7 | 2004 | 96 | |
| 8 | 1979 | 93 | |
| 9 | 1983 | 89 | |
| 10 | 2013 | 89 | |
| 11 | 1979 | 86 | |
| 12 | 2006 | 84 | |
| 13 | 2004 | 81 | |
| 14 | 2008 | 74 | |
| 15 | 2011 | 73 | |
| 16 | 1969 | 66 | |
| 17 | 1984 | 65 | |
| 18 | 2005 | 57 | |
| 19 | 1988 | 54 | |
| 20 | 1985 | 53 |
About Arthur Nádas
Arthur Nádas is a scholar working on Virology, Artificial Intelligence, Molecular Biology, Immunology and Infectious Diseases, having authored 113 papers that have together received 3.4k indexed citations. Recurring topics across this work include HIV Research and Treatment (33 papers), Speech Recognition and Synthesis (15 papers), Immune Cell Function and Interaction (14 papers), Speech and Audio Processing (11 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), HIV/AIDS drug development and treatment (9 papers), Air Quality and Health Impacts (9 papers) and Music and Audio Processing (7 papers). The work is most often cited by research in Virology (767 citations), Health, Toxicology and Mutagenesis (702 citations), Signal Processing (466 citations), Immunology (449 citations) and Artificial Intelligence (688 citations). Arthur Nádas has collaborated with scholars based in United States, Cameroon and India. Frequent co-authors include D. Nahamoo, Kazuhiko Ito, Isaac Meilijson, Susan Zolla‐Pazner, Michael Picheny, Miroslaw K. Górny, Phillipe N. Nyambi, Morton Lippmann, Dimitri Kanevsky and George D. Thurston. Their work appears in journals such as Technometrics, Journal of Virology, PLoS ONE, AIDS Research and Human Retroviruses and Environmental Health 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.