Daniel M. Grove
Impact in
- Parasitology top 5%
- Vector-borne infectious diseases
- Infectious Diseases top 10%
- Viral Infections and Vectors
- Parvovirus B19 Infection Studies
Papers in
-
- Optimal Experimental Design Methods 2
-
- Vector-borne infectious diseases 2
- Co-authors
- Colin R. Parrish (1 shared paper)Andrew B. Allison (1 shared paper)Edward C. Holmes (1 shared paper)D Köhler (1 shared paper)Edward C. Ramsay (1 shared paper)Martin R. Miller (2 shared papers)Holly M. Brown (2 shared papers)S. M. Lewis (1 shared paper)
- Journals
- Technometrics (2 papers)Veterinary Parasitology (2 papers)PLoS ONE (1 paper)Wildlife Research (1 paper)Journal of Quality Technology (1 paper)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Daniel M. Grove
21 papers receiving 372 citations
Peers
Comparison fields: 5 of 87
- Parasitology 96
- Infectious Diseases 139
- Animal Science and Zoology 79
- Statistics and Probability 51
- Small Animals 30
Countries citing papers authored by Daniel M. Grove
This map shows the geographic impact of Daniel M. Grove'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 Daniel M. Grove with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel M. Grove more than expected).
Fields of papers citing papers by Daniel M. Grove
This network shows the impact of papers produced by Daniel M. Grove. 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 Daniel M. Grove. The network helps show where Daniel M. Grove may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel M. Grove, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 110 | |
| 2 | 2010 | 60 | |
| 3 | 2012 | 34 | |
| 4 | 1980 | 33 | |
| 5 | 2000 | 24 | |
| 6 | 2006 | 18 | |
| 7 | 2004 | 18 | |
| 8 | 1985 | 16 | |
| 9 | 1985 | 16 | |
| 10 | Statistics for engine optimization | 2000 | 15 |
| 11 | 1984 | 13 | |
| 12 | 1994 | 11 | |
| 13 | 2005 | 10 | |
| 14 | 1985 | 7 | |
| 15 | 2018 | 7 | |
| 16 | 1981 | 4 | |
| 17 | 1986 | 3 | |
| 18 | 1994 | 3 | |
| 19 | 2024 | 1 | |
| 20 | 2005 | 1 |
About Daniel M. Grove
Daniel M. Grove is a scholar working on Management Science and Operations Research, Parasitology, Infectious Diseases, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 25 papers that have together received 405 indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (3 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers), Wildlife Ecology and Conservation (2 papers), Vector-borne infectious diseases (2 papers), Viral Infections and Vectors (2 papers), Optimal Experimental Design Methods (2 papers), Probabilistic and Robust Engineering Design (2 papers) and Advanced Multi-Objective Optimization Algorithms (2 papers). The work is most often cited by research in Parasitology (96 citations), Infectious Diseases (139 citations), Animal Science and Zoology (79 citations), Statistics and Probability (51 citations) and Small Animals (30 citations). Daniel M. Grove has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Colin R. Parrish, Andrew B. Allison, Edward C. Holmes, D Köhler, Edward C. Ramsay, Martin R. Miller, Holly M. Brown, S. M. Lewis, J. Mitchell Lockhart and Jeff Beringer. Their work appears in journals such as Technometrics, Veterinary Parasitology, PLoS ONE, Wildlife Research and Journal of Quality Technology.
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.