K. Phelps

1.3k total citations
38 papers, 978 citations indexed

About

K. Phelps is a scholar working on Plant Science, Agronomy and Crop Science and Insect Science. According to data from OpenAlex, K. Phelps has authored 38 papers receiving a total of 978 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Plant Science, 7 papers in Agronomy and Crop Science and 6 papers in Insect Science. Recurrent topics in K. Phelps's work include Agronomic Practices and Intercropping Systems (6 papers), Plant Physiology and Cultivation Studies (5 papers) and Insect Pest Control Strategies (4 papers). K. Phelps is often cited by papers focused on Agronomic Practices and Intercropping Systems (6 papers), Plant Physiology and Cultivation Studies (5 papers) and Insect Pest Control Strategies (4 papers). K. Phelps collaborates with scholars based in United Kingdom, United States and Ireland. K. Phelps's co-authors include W. E. Finch-Savage, John P. Clarkson, R. J. Reader, John M. Whipps, Caroline Young, Joyce R. A. Steckel, A. Grundy, S. Burston, D. C. E. Wurr and William E. Finch‐Savage and has published in prestigious journals such as New Phytologist, Journal of Experimental Botany and Journal of Applied Microbiology.

In The Last Decade

K. Phelps

38 papers receiving 853 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
K. Phelps United Kingdom 18 835 164 141 129 122 38 978
R. W. Medd Australia 17 665 0.8× 264 1.6× 167 1.2× 77 0.6× 154 1.3× 61 863
L. H. Rhodes United States 14 692 0.8× 142 0.9× 71 0.5× 73 0.6× 73 0.6× 34 797
F. B. Holl Canada 19 957 1.1× 137 0.8× 94 0.7× 200 1.6× 52 0.4× 43 1.2k
A. J. Caesar United States 17 765 0.9× 51 0.3× 158 1.1× 114 0.9× 250 2.0× 51 960
Natarajan Mathimaran Switzerland 15 982 1.2× 168 1.0× 98 0.7× 86 0.7× 190 1.6× 20 1.1k
Dan O. Chellemi United States 21 1.1k 1.3× 104 0.6× 81 0.6× 124 1.0× 144 1.2× 54 1.3k
Jack Dekker United States 21 1.1k 1.3× 303 1.8× 328 2.3× 148 1.1× 82 0.7× 61 1.3k
William M. Stall United States 19 879 1.1× 274 1.7× 52 0.4× 106 0.8× 73 0.6× 89 952
B. D. Thomson Australia 18 1.0k 1.2× 261 1.6× 126 0.9× 45 0.3× 114 0.9× 23 1.1k
R.J. Field New Zealand 14 579 0.7× 149 0.9× 95 0.7× 77 0.6× 56 0.5× 63 722

Countries citing papers authored by K. Phelps

Since Specialization
Citations

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

Fields of papers citing papers by K. Phelps

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Phelps

This figure shows the co-authorship network connecting the top 25 collaborators of K. Phelps. A scholar is included among the top collaborators of K. Phelps 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 K. Phelps. K. Phelps 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.
Phelps, K., et al.. (2013). Performance Evaluation and Effects of Standoff on 10,500 grain per foot Linear Shaped Charge. 1 indexed citations
2.
Clarkson, John P., et al.. (2007). Forecasting Sclerotinia Disease on Lettuce: A Predictive Model for Carpogenic Germination of Sclerotinia sclerotiorum Sclerotia. Phytopathology. 97(5). 621–631. 44 indexed citations
3.
Grundy, A., C.M. Onyango, K. Phelps, et al.. (2005). Using a competition model to quantify the optimal trade‐off between machine vision capability and weed removal effectiveness. Weed Research. 45(5). 388–405. 9 indexed citations
4.
Deardon, Rob, Steven G. Gilmour, Neil A. Butler, K. Phelps, & Roy Kennedy. (2004). A Method for Ascertaining and Controlling Representation Bias in Field Trials for Airborne Plant Pathogens. Journal of Applied Statistics. 31(3). 329–343. 2 indexed citations
5.
Gilles, T., K. Phelps, John P. Clarkson, & Roy Kennedy. (2004). Development of MILIONCAST, an Improved Model for Predicting Downy Mildew Sporulation on Onions. Plant Disease. 88(7). 695–702. 26 indexed citations
6.
Davidson, G., K. Phelps, K. D. Sunderland, et al.. (2003). Study of temperature-growth interactions of entomopathogenic fungi with potential for control of Varroa destructor (Acari: Mesostigmata) using a nonlinear model of poikilotherm development. Journal of Applied Microbiology. 94(5). 816–825. 44 indexed citations
7.
Clarkson, John P., et al.. (2003). Ascospore release and survival in Sclerotinia sclerotiorum. Mycological Research. 107(2). 213–222. 85 indexed citations
8.
McCracken, A. R., A. M. Berrie, D. J. BARBARA, et al.. (2003). Relative significance of nursery infections and orchard inoculum in the development and spread of apple canker ( Nectria galligen a) in young orchards. Plant Pathology. 52(5). 553–566. 46 indexed citations
9.
Reeves, J., Jane R. Fellows, K. Phelps, & D. C. E. Wurr. (2001). Development and validation of a model describing the curd induction of winter cauliflower. The Journal of Horticultural Science and Biotechnology. 76(6). 714–720. 4 indexed citations
10.
Finch-Savage, W. E., K. Phelps, Joyce R. A. Steckel, W. R. Whalley, & H. R. Rowse. (2001). Seed reserve‐dependent growth responses to temperature and water potential in carrot (Daucus carota L.). Journal of Experimental Botany. 52(364). 2187–2197. 25 indexed citations
11.
Grundy, A., K. Phelps, R. J. Reader, & S. Burston. (2000). Modelling the germination of Stellaria media using the concept of hydrothermal time. New Phytologist. 148(3). 433–444. 116 indexed citations
12.
Gilmour, Steven G., et al.. (1997). Assessment of suitable designs for field experiments involving airborne diseases. The Journal of Agricultural Science. 129(3). 249–256. 3 indexed citations
13.
Wurr, D. C. E., Jane R. Fellows, & K. Phelps. (1996). Investigating trends in vegetable crop response to increasing temperature associated with climate change. Scientia Horticulturae. 66(3-4). 255–263. 35 indexed citations
14.
Phelps, K., et al.. (1994). Carrot fly monitoring as an effective tool for pest management: how many flies have to be trapped?. Aspects of applied biology. 259–263. 5 indexed citations
15.
Phelps, K., Rosemary Collier, R. J. Reader, & S. Finch. (1993). Monte Carlo simulation method for forecasting the timing of pest insect attacks. Crop Protection. 12(5). 335–342. 21 indexed citations
16.
Finch-Savage, W. E. & K. Phelps. (1993). Onion (Allium cepaL.) Seedling Emergence Patterns can be Explained by the Influence of Soil Temperature and Water Potential on Seed Germination. Journal of Experimental Botany. 44(2). 407–414. 97 indexed citations
17.
18.
Phelps, K., et al.. (1991). Design of trials for resistance screening in semi‐controlled environments. Plant Pathology. 40(2). 161–165. 2 indexed citations
19.
Phelps, K., et al.. (1991). Studies on the frequency distribution of Pythium‐induced cavity spot of carrots. Annals of Applied Biology. 119(1). 21–30. 13 indexed citations
20.
Jackson, John C., et al.. (1978). Variation Studies in Carrots as an Aid to Breeding. VI. Genotype-Environment Interactions in Contrasting Field Environments. Journal of Horticultural Science. 53(2). 131–137. 4 indexed citations

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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