J. M. Phillips

733 total citations
29 papers, 551 citations indexed

About

J. M. Phillips is a scholar working on Agronomy and Crop Science, Environmental Chemistry and Genetics. According to data from OpenAlex, J. M. Phillips has authored 29 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Agronomy and Crop Science, 10 papers in Environmental Chemistry and 7 papers in Genetics. Recurrent topics in J. M. Phillips's work include Ruminant Nutrition and Digestive Physiology (18 papers), Turfgrass Adaptation and Management (9 papers) and Genetic and phenotypic traits in livestock (7 papers). J. M. Phillips is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (18 papers), Turfgrass Adaptation and Management (9 papers) and Genetic and phenotypic traits in livestock (7 papers). J. M. Phillips collaborates with scholars based in United States and Japan. J. M. Phillips's co-authors include S. A. Gunter, Paul A Beck, Alexander Amini, Sertaç Karaman, Daniela Rus, James R. Jackson, Igor Gilitschenski, Richard L. Noble, Rohan Banerjee and R. W. McNew and has published in prestigious journals such as Surface Science, Journal of Animal Science and Transactions of the American Fisheries Society.

In The Last Decade

J. M. Phillips

27 papers receiving 501 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. M. Phillips United States 12 193 114 71 66 58 29 551
Andrew Hamilton United Kingdom 15 37 0.2× 32 0.3× 29 0.4× 74 1.1× 6 0.1× 40 744
Muhammad Moshiur Rahman Australia 18 107 0.6× 53 0.5× 7 0.1× 371 5.6× 9 0.2× 48 1.0k
Yao-Liang Chung Taiwan 16 634 3.3× 86 0.8× 10 0.1× 82 1.2× 64 1.1k
D. Henry Australia 17 210 1.1× 39 0.3× 274 4.2× 25 0.4× 44 1.2k
Yin Bao United States 14 57 0.3× 8 0.1× 16 0.2× 432 6.5× 14 0.2× 49 697
T. S. Stombaugh United States 13 64 0.3× 3 0.0× 18 0.3× 220 3.3× 5 0.1× 68 715
Tadashi Kishimoto Japan 16 41 0.2× 15 0.1× 7 0.1× 149 2.3× 2 0.0× 59 667
M. F. Kocher United States 13 60 0.3× 32 0.3× 15 0.2× 306 4.6× 37 728
Jiwan Han China 15 59 0.3× 7 0.1× 8 0.1× 499 7.6× 17 0.3× 41 998

Countries citing papers authored by J. M. Phillips

Since Specialization
Citations

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

Fields of papers citing papers by J. M. Phillips

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. M. Phillips. 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 J. M. Phillips. The network helps show where J. M. Phillips may publish in the future.

Co-authorship network of co-authors of J. M. Phillips

This figure shows the co-authorship network connecting the top 25 collaborators of J. M. Phillips. A scholar is included among the top collaborators of J. M. Phillips 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 J. M. Phillips. J. M. Phillips 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.
Amini, Alexander, Igor Gilitschenski, J. M. Phillips, et al.. (2020). Learning Robust Control Policies for End-to-End Autonomous Driving From Data-Driven Simulation. IEEE Robotics and Automation Letters. 5(2). 1143–1150. 140 indexed citations
2.
3.
Beck, Paul A, et al.. (2007). Chemical composition and in situ dry matter and fiber disappearance of sorghum × Sudangrass hybrids1. Journal of Animal Science. 85(2). 545–555. 43 indexed citations
4.
Beck, Paul A, et al.. (2007). Effect of species of cool-season annual grass interseeded into Bermudagrass sod on the performance of growing calves1. Journal of Animal Science. 85(2). 536–544. 25 indexed citations
5.
Kilway, Kathleen V., et al.. (2006). Formate-induced destabilization of the Cu(110) surface. Surface Science. 600(6). 1193–1200. 12 indexed citations
6.
Gunter, S. A., et al.. (2005). Effects of stocking and nitrogen fertilization rates on steers grazing dallisgrass-dominated pasture1. Journal of Animal Science. 83(9). 2235–2242. 19 indexed citations
7.
Beck, Paul A, et al.. (2005). Effects of Diet Fed in Drylot on Subsequent Grazing Performance of Growing Cattle. The Professional Animal Scientist. 21(5). 371–379. 2 indexed citations
8.
Phillips, J. M., et al.. (2004). Effect of harvest date and brown midrib gene on in situ disappearance of sorghum x Sudangrass hybrids. Journal of Animal Science. 249–250. 1 indexed citations
9.
Steelman, C. D., R. W. McNew, R. B. Simpson, et al.. (2003). Evaluation of Alternative Tactics for Management of Insecticide-Resistant Horn Flies (Diptera: Muscidae). Journal of Economic Entomology. 96(3). 892–901. 21 indexed citations
10.
Gunter, S. A., Paul A Beck, & J. M. Phillips. (2003). Effects of supplementary selenium source on the performance and blood measurements in beef cows and their calves1. Journal of Animal Science. 81(4). 856–864. 132 indexed citations
11.
Gunter, S. A. & J. M. Phillips. (2001). Season-Long vs Intensive-Early Stocking with Growing Cattle Grazing Bermudagrass Pasture. The Professional Animal Scientist. 17(1). 27–32. 3 indexed citations
12.
Simpson, R. B., J. M. Phillips, C. F. Rosenkrans, A.H. Brown, & D. W. Kellogg. (1997). Development of Replacement Heifers using Combinations of Three Forage Types and Feed Supplements (with or without Broiler Litter). Journal of the Arkansas Academy of Science. 1 indexed citations
13.
Brown, A.H., et al.. (1996). Performance traits, hoof mineral composition, and hoof characteristics of bulls in a 112-day postweaning feedlot performance test. American Journal of Veterinary Research. 57(3). 291–295. 3 indexed citations
14.
Phillips, J. M., James R. Jackson, & Richard L. Noble. (1995). Hatching Date Influence on Age-Specific Diet and Growth of Age-0 Largemouth Bass. Transactions of the American Fisheries Society. 124(3). 370–379. 60 indexed citations
15.
Steelman, C. D., et al.. (1994). Efficacy of Brahman Breeding in the Management of Insecticide Resistant Horn Flies (Diptera: Muscidae) on Beef Cattle. Journal of Economic Entomology. 87(1). 7–14. 15 indexed citations
16.
Phillips, J. M. & W. E. Sabbe. (1994). Effects of sulfur on nitrogen recovery in coastal bermudagrass as influenced by sulfur fertilization. Communications in Soil Science and Plant Analysis. 25(9-10). 1763–1769. 1 indexed citations
17.
Brown, A.H., et al.. (1993). Change in hoof phosphorus content for bulls in a 112-day postweaning feedlot performance test. Nutrition Research. 13(4). 465–473. 2 indexed citations
18.
Rosenkrans, C. F., et al.. (1993). Weaning Rate of Brangus and Brahman × Hereford F1 Cows Under Intensive Grazing Management. The Professional Animal Scientist. 9(1). 31–38. 1 indexed citations
19.
Gale, P. M., J. M. Phillips, Michael L. May, & D. C. Wolf. (1991). Effect of Drying on the Plant Nutrient Content of Hen Manure. jpa. 4(2). 246–250. 9 indexed citations
20.
May, Michael L., et al.. (1990). Drought‐Induced Accumulation of Nitrate in Grain Sorghum. jpa. 3(2). 238–241. 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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