A. Mauromoustakos

922 total citations
36 papers, 736 citations indexed

About

A. Mauromoustakos is a scholar working on Plant Science, Food Science and Nutrition and Dietetics. According to data from OpenAlex, A. Mauromoustakos has authored 36 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Plant Science, 11 papers in Food Science and 10 papers in Nutrition and Dietetics. Recurrent topics in A. Mauromoustakos's work include Food composition and properties (10 papers), GABA and Rice Research (7 papers) and Rice Cultivation and Yield Improvement (7 papers). A. Mauromoustakos is often cited by papers focused on Food composition and properties (10 papers), GABA and Rice Research (7 papers) and Rice Cultivation and Yield Improvement (7 papers). A. Mauromoustakos collaborates with scholars based in United States, China and South Korea. A. Mauromoustakos's co-authors include T. J. Siebenmorgen, Ya‐Jane Wang, Sarah Lanning, Amogh A. Ambardekar, Paul A. Counce, V.K. Griffin, C.M. Owens, E.R. Johnson, Alicia A. Perdon and V.A. Kuttappan and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Carbohydrate Polymers and Journal of Food Engineering.

In The Last Decade

A. Mauromoustakos

36 papers receiving 655 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Mauromoustakos United States 16 369 258 225 119 46 36 736
Elena Sánchez‐Zapata Spain 10 351 1.0× 387 1.5× 396 1.8× 72 0.6× 26 0.6× 13 819
Debora Giordano Italy 16 294 0.8× 188 0.7× 159 0.7× 76 0.6× 34 0.7× 29 653
Wioletta Biel Poland 19 454 1.2× 250 1.0× 286 1.3× 146 1.2× 43 0.9× 78 991
Naser Maheri‐Sis Iran 13 217 0.6× 160 0.6× 122 0.5× 269 2.3× 51 1.1× 91 749
A. D. Ologhobo Nigeria 16 487 1.3× 155 0.6× 226 1.0× 227 1.9× 75 1.6× 77 844
Jorge Horii Brazil 15 239 0.6× 97 0.4× 219 1.0× 90 0.8× 18 0.4× 41 664
S. C. Achinewhu Nigeria 20 403 1.1× 287 1.1× 501 2.2× 120 1.0× 77 1.7× 56 983
Xujiao Li China 13 342 0.9× 236 0.9× 384 1.7× 98 0.8× 54 1.2× 27 851
M. de Wit South Africa 17 295 0.8× 142 0.6× 585 2.6× 74 0.6× 29 0.6× 73 806
William A. Berzonsky United States 18 698 1.9× 276 1.1× 176 0.8× 41 0.3× 15 0.3× 50 949

Countries citing papers authored by A. Mauromoustakos

Since Specialization
Citations

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

Fields of papers citing papers by A. Mauromoustakos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Mauromoustakos

This figure shows the co-authorship network connecting the top 25 collaborators of A. Mauromoustakos. A scholar is included among the top collaborators of A. Mauromoustakos 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 A. Mauromoustakos. A. Mauromoustakos 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.
Mauromoustakos, A., et al.. (2021). Detection of woody breast condition in commercial broiler carcasses using image analysis. Poultry Science. 100(4). 100977–100977. 15 indexed citations
2.
Siebenmorgen, T. J., et al.. (2021). Effect of Post-Drying Tempering of Rice on Minimizing Kernel Fissuring and Maximizing Moisture Removal. Journal of the ASABE. 65(1). 1–9. 1 indexed citations
3.
Kuttappan, V.A., et al.. (2016). Effect of pre- and post-marination aging on meat quality attributes of early deboned (2 h postmortem) broiler breast fillets. Poultry Science. 95(11). 2690–2695. 5 indexed citations
4.
Siebenmorgen, T. J., et al.. (2014). Milling Properties of Commingled Rice-Cultivar Lots. Transactions of the ASABE. 1717–1728. 4 indexed citations
5.
Salas, Reiofeli A, et al.. (2013). Resistance to ACCase and ALS inhibitors in Lolium perenne ssp. multiflorum in the United States.. Journal of Crop and Weed. 9(1). 168–183. 4 indexed citations
6.
Siebenmorgen, T. J., et al.. (2013). Physicochemical Properties of Rice Dried in a Single Pass Using High Temperatures. Cereal Chemistry. 90(5). 502–506. 8 indexed citations
7.
8.
Siebenmorgen, T. J., et al.. (2012). Drying Characteristics and Milling Quality of Rough Rice Dried in a Single Pass Incorporating Glass Transition Principles. Drying Technology. 30(16). 1821–1830. 23 indexed citations
9.
Ambardekar, Amogh A., T. J. Siebenmorgen, Paul A. Counce, Sarah Lanning, & A. Mauromoustakos. (2011). Impact of field-scale nighttime air temperatures during kernel development on rice milling quality. Field Crops Research. 122(3). 179–185. 93 indexed citations
10.
Lykouressis, D., et al.. (2009). Effect of female size on host selection by a koinobiont insect parasitoid (Hymenoptera: Braconidae: Aphidiinae). European Journal of Entomology. 106(3). 363–367. 10 indexed citations
11.
Monfort, W. Scott, T. L. Kirkpatrick, & A. Mauromoustakos. (2008). Spread of Rotylenchulus reniformis in an Arkansas Cotton Field Over a Four-Year Period.. PubMed. 40(3). 161–6. 13 indexed citations
12.
Crook, Damon J., et al.. (2007). Optimization of Sampling Methods for Within-Tree Populations of Red Oak Borer, <I>Enaphalodes rufulus</I> (Haldeman) (Coleoptera: Cerambycidae). Environmental Entomology. 36(3). 589–594. 15 indexed citations
13.
Rababah, Taha, Navam Hettiarachchy, Ronny Horax, et al.. (2004). Effect of Electron Beam Irradiation and Storage at 5 °C on Thiobarbituric Acid Reactive Substances and Carbonyl Contents in Chicken Breast Meat Infused with Antioxidants and Selected Plant Extracts. Journal of Agricultural and Food Chemistry. 52(26). 8236–8241. 38 indexed citations
14.
Perdon, Alicia A., T. J. Siebenmorgen, A. Mauromoustakos, V.K. Griffin, & E.R. Johnson. (2001). Degree of Milling Effects on Rice Pasting Properties. Cereal Chemistry. 78(2). 205–209. 68 indexed citations
15.
Riggs, R. D., et al.. (2000). Planting Date and Soybean Cultivar Maturity Group Affect Population Dynamics of Heterodera glycines, and All Affect Yield of Soybean.. PubMed Central. 12 indexed citations
16.
Siebenmorgen, T. J., et al.. (2000). Effect of temperature, exposure duration, and moisture content on the yellowing of rice.. 355–362. 4 indexed citations
17.
Mauromoustakos, A., et al.. (1997). Nitrogen Fertilization Affects Quality of Peach Puree. HortScience. 32(2). 284–287. 17 indexed citations
18.
Siebenmorgen, T. J., et al.. (1992). Evaluation of the McGill No. 2 rice miller.. Europe PMC (PubMed Central). 69(1). 35–43. 22 indexed citations
19.
IZAT, A.L., et al.. (1991). Research Note: Evaluation of the Report™ Salmonella Visual Immunoassay for Detection of Salmonellae on Raw Poultry Carcasses. Poultry Science. 70(1). 184–187. 3 indexed citations
20.
Mukhopadhyay, Nitis & A. Mauromoustakos. (1987). Three-stage estimation procedures for the negative exponential distributions. Metrika. 34(1). 83–93. 15 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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