C.M. Triggs
Impact in
Papers in
- Genetics 16
- Forensic and Genetic Research 11
- Genetic and phenotypic traits in livestock 3
- Genetic diversity and population structure 3
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- Plant Pathogenic Bacteria Studies 5
- Plant Physiology and Cultivation Studies 2
- Co-authors
- John Buckleton (17 shared papers)K.A.J. Walsh (8 shared papers)James M. Curran (9 shared papers)J. M. Young (5 shared papers)Neville Davies (1 shared paper)Paul Newbold (1 shared paper)E. Mendes (2 shared papers)B. S. Weir (2 shared papers)
- Journals
- Science & Justice (11 papers)Journal of Forensic Sciences (4 papers)Journal of the Royal Statistical Society Series C (Applied Statistics) (1 paper)Postharvest Biology and Technology (1 paper)Genetics (1 paper)
- Partner nations
- New ZealandUnited StatesUnited Kingdom
In The Last Decade
C.M. Triggs
38 papers receiving 841 citations
Peers
Comparison fields: 5 of 121
- Software 75
- Genetics 309
- Statistics and Probability 65
- Archeology 61
- Finance 54
Countries citing papers authored by C.M. Triggs
This map shows the geographic impact of C.M. Triggs'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 C.M. Triggs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C.M. Triggs more than expected).
Fields of papers citing papers by C.M. Triggs
This network shows the impact of papers produced by C.M. Triggs. 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 C.M. Triggs. The network helps show where C.M. Triggs may publish in the future.
Co-authors
The 25 scholars most cited alongside C.M. Triggs, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 131 | |
| 2 | 1977 | 126 | |
| 3 | 1999 | 80 | |
| 4 | 1994 | 68 | |
| 5 | 2003 | 67 | |
| 6 | 2005 | 52 | |
| 7 | 1997 | 36 | |
| 8 | 2006 | 29 | |
| 9 | 1998 | 29 | |
| 10 | 1996 | 29 | |
| 11 | 1997 | 25 | |
| 12 | 2001 | 23 | |
| 13 | 1991 | 23 | |
| 14 | 2011 | 21 | |
| 15 | 2015 | 20 | |
| 16 | 2007 | 18 | |
| 17 | 2006 | 16 | |
| 18 | 2000 | 13 | |
| 19 | 2001 | 12 | |
| 20 | 2003 | 10 |
About C.M. Triggs
C.M. Triggs is a scholar working on Genetics, Plant Science, Archeology, Molecular Biology and Artificial Intelligence, having authored 38 papers that have together received 922 indexed citations. Recurring topics across this work include Forensic and Genetic Research (11 papers), Plant Pathogenic Bacteria Studies (5 papers), Forensic Anthropology and Bioarchaeology Studies (4 papers), Genetic and phenotypic traits in livestock (3 papers), Plant Pathogens and Fungal Diseases (3 papers), Genetic diversity and population structure (3 papers), Cultural Heritage Materials Analysis (3 papers) and Plant Physiology and Cultivation Studies (2 papers). The work is most often cited by research in Software (75 citations), Genetics (309 citations), Statistics and Probability (65 citations), Archeology (61 citations) and Finance (54 citations). C.M. Triggs has collaborated with scholars based in New Zealand, United States and United Kingdom. Frequent co-authors include John Buckleton, K.A.J. Walsh, James M. Curran, J. M. Young, Neville Davies, Paul Newbold, E. Mendes, B. S. Weir, Leena Stowell and B. S. Weir. Their work appears in journals such as Science & Justice, Journal of Forensic Sciences, Journal of the Royal Statistical Society Series C (Applied Statistics), Postharvest Biology and Technology and Genetics.
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.