J. Riva
Impact in
- Agronomy and Crop Science top 5%
- Animal Disease Management and Epidemiology
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
Papers in ⓘ
- Epidemiology 10
- Virology and Viral Diseases 6
- Influenza Virus Research Studies 4
-
- Animal Virus Infections Studies 9
- Co-authors
- Robert A. Heckert (7 shared papers)Alfonso Clavijo (8 shared papers)En‐Min Zhou (5 shared papers)M. Chan (1 shared paper)M. Cantin (1 shared paper)Gary A. Wobeser (3 shared papers)Thijs Kuiken (3 shared papers)Janis McMillen (1 shared paper)
- Journals
- Avian Diseases (5 papers)Journal of Veterinary Diagnostic Investigation (2 papers)Avian Pathology (2 papers)Journal of Wildlife Diseases (2 papers)Research in Veterinary Science (1 paper)
- Partner nations
- CanadaUnited StatesBrazil
In The Last Decade
J. Riva
17 papers receiving 369 citations
Peers
Comparison fields: 5 of 47
- Agronomy and Crop Science 225
- Animal Science and Zoology 95
- Infectious Diseases 162
- Epidemiology 243
- Ecology, Evolution, Behavior and Systematics 123
Countries citing papers authored by J. Riva
This map shows the geographic impact of J. Riva'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 J. Riva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Riva more than expected).
Fields of papers citing papers by J. Riva
This network shows the impact of papers produced by J. Riva. 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 J. Riva. The network helps show where J. Riva may publish in the future.
Co-authors
The 24 scholars most cited alongside J. Riva, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 78 | |
| 2 | 1996 | 44 | |
| 3 | 2002 | 36 | |
| 4 | 1998 | 34 | |
| 5 | 1999 | 28 | |
| 6 | 2001 | 24 | |
| 7 | 1998 | 23 | |
| 8 | 2001 | 18 | |
| 9 | 2003 | 15 | |
| 10 | 2003 | 14 | |
| 11 | 2003 | 13 | |
| 12 | 1994 | 13 | |
| 13 | 2001 | 13 | |
| 14 | 2001 | 12 | |
| 15 | 1996 | 12 | |
| 16 | 2001 | 10 | |
| 17 | 1992 | 6 |
About J. Riva
J. Riva is a scholar working on Epidemiology, Animal Science and Zoology, Agronomy and Crop Science, Infectious Diseases and Molecular Biology, having authored 17 papers that have together received 393 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (9 papers), Animal Disease Management and Epidemiology (7 papers), Virology and Viral Diseases (6 papers), Influenza Virus Research Studies (4 papers), Vector-Borne Animal Diseases (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Viral Infections and Vectors (3 papers) and Viral Infections and Immunology Research (3 papers). The work is most often cited by research in Agronomy and Crop Science (225 citations), Animal Science and Zoology (95 citations), Infectious Diseases (162 citations), Epidemiology (243 citations) and Ecology, Evolution, Behavior and Systematics (123 citations). J. Riva has collaborated with scholars based in Canada, United States and Brazil. Frequent co-authors include Robert A. Heckert, Alfonso Clavijo, En‐Min Zhou, M. Chan, M. Cantin, Gary A. Wobeser, Thijs Kuiken, Janis McMillen, Frederick A. Leighton and Min Lin. Their work appears in journals such as Avian Diseases, Journal of Veterinary Diagnostic Investigation, Avian Pathology, Journal of Wildlife Diseases and Research in Veterinary Science.
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.