Philip Sallis

921 total citations
62 papers, 567 citations indexed

About

Philip Sallis is a scholar working on Plant Science, Food Science and Artificial Intelligence. According to data from OpenAlex, Philip Sallis has authored 62 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 14 papers in Food Science and 12 papers in Artificial Intelligence. Recurrent topics in Philip Sallis's work include Horticultural and Viticultural Research (13 papers), Fermentation and Sensory Analysis (10 papers) and Wine Industry and Tourism (9 papers). Philip Sallis is often cited by papers focused on Horticultural and Viticultural Research (13 papers), Fermentation and Sensory Analysis (10 papers) and Wine Industry and Tourism (9 papers). Philip Sallis collaborates with scholars based in New Zealand, Chile and Japan. Philip Sallis's co-authors include Stephen G. MacDonell, Subana Shanmuganathan, Andrew Gray, Donna W. Buckingham, Sergio Hernández, Christian Icking, John S. Buckeridge, Ajit Narayanan, Martin Shepperd and Malcolm Cooper and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information Sciences and Journal of the Association for Information Systems.

In The Last Decade

Philip Sallis

54 papers receiving 508 citations

Peers

Philip Sallis
Peter Chapman United Kingdom
Badr Hssina Morocco
Hilal H. Nuha Indonesia
Ingo Simonis United States
Samira Douzi Morocco
Peter Chapman United Kingdom
Philip Sallis
Citations per year, relative to Philip Sallis Philip Sallis (= 1×) peers Peter Chapman

Countries citing papers authored by Philip Sallis

Since Specialization
Citations

This map shows the geographic impact of Philip Sallis'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 Philip Sallis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Sallis more than expected).

Fields of papers citing papers by Philip Sallis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip Sallis. 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 Philip Sallis. The network helps show where Philip Sallis may publish in the future.

Co-authorship network of co-authors of Philip Sallis

This figure shows the co-authorship network connecting the top 25 collaborators of Philip Sallis. A scholar is included among the top collaborators of Philip Sallis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Philip Sallis. Philip Sallis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sallis, Philip. (2018). Extreme Weather. InTech eBooks. 2 indexed citations
2.
Whalley, Jacqueline, et al.. (2015). Estimation of leaf wetness duration using Adaptive Neuro-Fuzzy Inference Systems. 2 indexed citations
3.
Whalley, Jacqueline, et al.. (2014). An evaluation of smoothing filters for gas sensor signal cleaning. Pure (Coventry University). 19–23. 6 indexed citations
4.
Sallis, Philip, et al.. (2014). A service oriented wireless sensor node management system. 11. 1475–1479. 3 indexed citations
5.
Sallis, Philip, et al.. (2011). Development of environmental monitoring system with wireless sensor networks. Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation.. 12 indexed citations
6.
Sallis, Philip, et al.. (2011). Evaluation of spatial interpolation techniques for mapping soil pH. Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation.. 23 indexed citations
7.
Morales-Salinas, Luis, et al.. (2011). Estimation of Reference Evapotranspiration Using Limited Climatic Data and Bayesian Model Averaging. 59–63. 11 indexed citations
8.
Shanmuganathan, Subana, Philip Sallis, & Ajit Narayanan. (2010). Modelling the effects of daily extreme weather on grapevine and wine quality. ScholarsArchive (Brigham Young University). 2 indexed citations
11.
Sallis, Philip & Sergio Hernández. (2010). Ensemble Interpolation Methods for Spatio-temporal Data Modelling. Tuwhera (Auckland University of Technology). 132–135.
12.
Sallis, Philip, et al.. (2009). Frost Prediction Characteristics and Classification using Computational Neural Networks. 10(3). 6 indexed citations
13.
Sallis, Philip & Ajit Narayanan. (2009). Unsupervised Artificial Neural Nets for Modelling the Effects of Climate Change on New Zealand Grape Wines. 107 ( Pt 3). 829–54. 3 indexed citations
14.
Sallis, Philip, et al.. (2008). Sensors for modeling the effects of climate change on grapevine growth and wine quality. International Conference on Circuits. 315–320. 2 indexed citations
15.
Sallis, Philip, et al.. (2008). A system architecture for collaborative environmental modeling research. 30. 39–47. 6 indexed citations
16.
MacDonell, Stephen G., Donna W. Buckingham, Andrew Gray, & Philip Sallis. (2002). Software Forensics: Extending Authorship Analysis Techniques to Computer Programs. AUT Scholarly Commons. 13. 34. 67 indexed citations
17.
O’Hare, Dermot, et al.. (2002). A goal-oriented approach for designing decision support displays in dynamic environments. 1. 78–85. 3 indexed citations
19.
Wong, B. L. William, David O’Hare, & Philip Sallis. (1996). Experimental transformation of a cognitive schema into a display structure. Otago University Research Archive (University of Otago). 1 indexed citations
20.
Benwell, George L, et al.. (1991). Deriving Semantic Data Models from Structured Process Descriptions of Reality. Journal of the Association for Information Systems. 6(1). 15–25.

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.

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