Mike F. North

1.3k total citations · 1 hit paper
15 papers, 990 citations indexed

About

Mike F. North is a scholar working on Animal Science and Zoology, Materials Chemistry and Mechanics of Materials. According to data from OpenAlex, Mike F. North has authored 15 papers receiving a total of 990 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Animal Science and Zoology, 5 papers in Materials Chemistry and 4 papers in Mechanics of Materials. Recurrent topics in Mike F. North's work include Meat and Animal Product Quality (6 papers), Thermal properties of materials (4 papers) and Animal Nutrition and Physiology (3 papers). Mike F. North is often cited by papers focused on Meat and Animal Product Quality (6 papers), Thermal properties of materials (4 papers) and Animal Nutrition and Physiology (3 papers). Mike F. North collaborates with scholars based in New Zealand, Denmark and Australia. Mike F. North's co-authors include James K. Carson, Donald J. Cleland, Jianfeng Wang, Robert Kemp, Per Waaben Hansen, C.E. Devine, Katja Rosenvold, Elisabeth Micklander, P.M. Dobbie and Jianfeng Wang and has published in prestigious journals such as Acta Materialia, Journal of Agricultural and Food Chemistry and International Journal of Heat and Mass Transfer.

In The Last Decade

Mike F. North

15 papers receiving 962 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A new approach to modelling the effective thermal conductivity of heterogeneous materials

2006 518 citations Jianfeng Wang, James K. Carson et al. International Journal of Heat and Mass Transfer profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mike F. North New Zealand	12	265	264	197	162	142	15	990
S.J. Lovatt New Zealand	14	237 0.9×	300 1.1×	165 0.8×	157 1.0×	73 0.5×	28	994
Yanhua Zhang China	14	226 0.9×	339 1.3×	150 0.8×	253 1.6×	119 0.8×	61	1.0k
Colin Servais Switzerland	16	170 0.6×	296 1.1×	243 1.2×	240 1.5×	43 0.3×	22	1.6k
R. Dendievel France	17	341 1.3×	432 1.6×	256 1.3×	250 1.5×	20 0.1×	32	1.4k
Mehrdad Negahban United States	18	154 0.6×	196 0.7×	179 0.9×	358 2.2×	32 0.2×	87	1.0k
Pengchong Zhang China	19	105 0.4×	84 0.3×	371 1.9×	161 1.0×	28 0.2×	68	916
Xijing Zhu China	18	305 1.2×	371 1.4×	127 0.6×	355 2.2×	18 0.1×	74	1.1k
Patrick Glouannec France	24	257 1.0×	628 2.4×	122 0.6×	216 1.3×	19 0.1×	81	1.8k
Hua Liu China	18	213 0.8×	313 1.2×	119 0.6×	82 0.5×	8 0.1×	69	955
Xuyue Wang China	17	98 0.4×	246 0.9×	300 1.5×	323 2.0×	60 0.4×	51	897

Countries citing papers authored by Mike F. North

Since Specialization

Citations

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

Fields of papers citing papers by Mike F. North

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mike F. North. 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 Mike F. North. The network helps show where Mike F. North may publish in the future.

Co-authorship network of co-authors of Mike F. North

This figure shows the co-authorship network connecting the top 25 collaborators of Mike F. North. A scholar is included among the top collaborators of Mike F. North 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 Mike F. North. Mike F. North is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

Carson, James K., Jianfeng Wang, Mike F. North, & Donald J. Cleland. (2015). Effective thermal conductivity prediction of foods using composition and temperature data. Journal of Food Engineering. 175. 65–73. 33 indexed citations

Farouk, Mustafa M., et al.. (2013). The initial freezing point temperature of beef rises with the rise in pH: A short communication. Meat Science. 94(1). 121–124. 26 indexed citations

Reis, Mariza Gomes, Nicole C. Roy, Emma N. Bermingham, et al.. (2013). Impact of Dietary Dairy Polar Lipids on Lipid Metabolism of Mice Fed a High-Fat Diet. Journal of Agricultural and Food Chemistry. 61(11). 2729–2738. 21 indexed citations

Lomiwes, Dominic, Marlon M. Reis, Eva Wiklund, O.A. Young, & Mike F. North. (2010). Near infrared spectroscopy as an on-line method to quantitatively determine glycogen and predict ultimate pH in pre rigor bovine M. longissimus dorsi. Meat Science. 86(4). 999–1004. 12 indexed citations

Carson, James K., et al.. (2009). A knotted and interconnected skeleton structural model for predicting Young's modulus of binary phase polymer blends. Polymer Engineering and Science. 50(4). 643–651. 20 indexed citations

Rosenvold, Katja, et al.. (2009). Temporal, biochemical and structural factors that influence beef quality measurement using near infrared spectroscopy. Meat Science. 82(3). 379–388. 24 indexed citations

Carson, James K., et al.. (2008). A symmetric and interconnected skeleton structural (SISS) model for predicting thermal and electrical conductivity and Young’s modulus of porous foams. Acta Materialia. 56(18). 5138–5146. 26 indexed citations

Carson, James K., et al.. (2008). Application of a co-continuous composite model of effective thermal conductivity to ice–air systems. International Journal of Refrigeration. 32(3). 556–561. 7 indexed citations

Amos, Nissim, et al.. (2008). A compilation of correlation parameters for predicting the enthalpy and thermal conductivity of solid foods within the temperature range of −40°C to +40°C. International Journal of Refrigeration. 31(7). 1293–1298. 2 indexed citations

10.

Kemp, Robert, et al.. (2008). Component heat capacities for lamb, beef and pork at elevated temperatures. Journal of Food Engineering. 92(3). 280–284. 18 indexed citations

11.

Rosenvold, Katja, Mike F. North, C.E. Devine, et al.. (2007). The protective effect of electrical stimulation and wrapping on beef tenderness at high pre rigor temperatures. Meat Science. 79(2). 299–306. 54 indexed citations

12.

Wang, Jianfeng, James K. Carson, Mike F. North, & Donald J. Cleland. (2007). A new structural model of effective thermal conductivity for heterogeneous materials with co-continuous phases. International Journal of Heat and Mass Transfer. 51(9-10). 2389–2397. 191 indexed citations

13.

North, Mike F.. (2007). Sticking to composites. Reinforced Plastics. 51(4). 32–34. 2 indexed citations

14.

Wang, Jianfeng, James K. Carson, Mike F. North, & Donald J. Cleland. (2006). A new approach to modelling the effective thermal conductivity of heterogeneous materials. International Journal of Heat and Mass Transfer. 49(17-18). 3075–3083. 518 indexed citations breakdown →

15.

Carson, James K., et al.. (2005). Measurements of heat transfer coefficients within convection ovens. Journal of Food Engineering. 72(3). 293–301. 36 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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