Chris Triggs
Impact in
- Software top 5%
- Software Reliability and Analysis Research
Papers in
-
- Postharvest Quality and Shelf Life Management 3
- Plant Physiology and Cultivation Studies 2
- Horticultural and Viticultural Research 2
-
- Software Engineering Research 2
- Software Engineering Techniques and Practices 2
- Co-authors
- Hugh R Grenfell (1 shared paper)Maria Holzmann (1 shared paper)Jan Pawłowski (1 shared paper)Bruce W. Hayward (1 shared paper)Emília Mendes (2 shared papers)Steve Counsell (2 shared papers)Nile Mosley (2 shared papers)Elspeth MacRae (2 shared papers)
- Journals
- Forensic Science International (2 papers)Journal of the Science of Food and Agriculture (2 papers)Empirical Software Engineering (1 paper)Science & Justice (1 paper)Journal of Texture Studies (1 paper)
- Partner nations
- New ZealandSwitzerlandUnited Kingdom
In The Last Decade
Chris Triggs
13 papers receiving 671 citations
Peers
Comparison fields: 5 of 86
- Tourism, Leisure and Hospitality Management 45
- Software 103
- Biochemistry 63
- Food Science 188
- Atmospheric Science 186
Countries citing papers authored by Chris Triggs
This map shows the geographic impact of Chris 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 Chris Triggs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Triggs more than expected).
Fields of papers citing papers by Chris Triggs
This network shows the impact of papers produced by Chris 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 Chris Triggs. The network helps show where Chris Triggs may publish in the future.
Co-authors
The 23 scholars most cited alongside Chris 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
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 224 | |
| 2 | 2009 | 151 | |
| 3 | 2003 | 145 | |
| 4 | 1989 | 84 | |
| 5 | 2011 | 41 | |
| 6 | 2005 | 25 | |
| 7 | 1990 | 24 | |
| 8 | 2005 | 8 | |
| 9 | 2003 | 4 | |
| 10 | 2011 | 2 | |
| 11 | 2008 | 2 | |
| 12 | 2009 | 1 | |
| 13 | Using CBR to Estimate Development Effort for Web Hypermedia Applications | 2002 | 1 |
About Chris Triggs
Chris Triggs is a scholar working on Plant Science, Information Systems, Genetics, Molecular Biology and Civil and Structural Engineering, having authored 13 papers that have together received 712 indexed citations. Recurring topics across this work include Postharvest Quality and Shelf Life Management (3 papers), Plant Physiology and Cultivation Studies (2 papers), Forensic and Genetic Research (2 papers), Software Engineering Research (2 papers), Software Engineering Techniques and Practices (2 papers), Horticultural and Viticultural Research (2 papers), Underground infrastructure and sustainability (1 paper) and Demographic Trends and Gender Preferences (1 paper). The work is most often cited by research in Tourism, Leisure and Hospitality Management (45 citations), Software (103 citations), Biochemistry (63 citations), Food Science (188 citations) and Atmospheric Science (186 citations). Chris Triggs has collaborated with scholars based in New Zealand, Switzerland and United Kingdom. Frequent co-authors include Hugh R Grenfell, Maria Holzmann, Jan Pawłowski, Bruce W. Hayward, Emília Mendes, Steve Counsell, Nile Mosley, Elspeth MacRae, Ian Watson and Jenny A. Hodgson. Their work appears in journals such as Forensic Science International, Journal of the Science of Food and Agriculture, Empirical Software Engineering, Science & Justice and Journal of Texture Studies.
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.