This map shows the geographic impact of Gene H. Rouse'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 Gene H. Rouse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gene H. Rouse more than expected).
This network shows the impact of papers produced by Gene H. Rouse. 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 Gene H. Rouse. The network helps show where Gene H. Rouse may publish in the future.
Co-authorship network of co-authors of Gene H. Rouse
This figure shows the co-authorship network connecting the top 25 collaborators of Gene H. Rouse.
A scholar is included among the top collaborators of Gene H. Rouse 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 Gene H. Rouse. Gene H. Rouse 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.
Tait, Richard G., et al.. (2004). Comparison of Ultrasound and Carcass Measures to Predict Percentage of Beef Retail Product from Four Primal Cuts—Final Report. Iowa State University Digital Repository (Iowa State University). 1(1).1 indexed citations
2.
Tait, Richard G., et al.. (2002). Comparison of Ultrasound and Carcass Measures to Predict the Percentage of Lean Beef from Four Primal Cuts. Iowa State University Digital Repository (Iowa State University). 1(1).2 indexed citations
3.
Rouse, Gene H., et al.. (2002). Relationship between Body Composition and Reproduction in Heifers. Iowa State University Digital Repository (Iowa State University). 1(1).6 indexed citations
4.
Rouse, Gene H., et al.. (2002). Genetic Relationship between Live Animal Ultrasound Measures and Scrotal Circumference in Yearling Angus Bulls. Iowa State University Digital Repository (Iowa State University). 1(1).3 indexed citations
5.
Rouse, Gene H., Deborah Wilson, & Abebe T. Hassen. (2002). Body Composition Changes of Angus Females from Initial Breeding through Second Parturition and Weaning Determined by Real-time Ultrasound. Iowa State University Digital Repository (Iowa State University). 1(1).1 indexed citations
6.
Rouse, Gene H., et al.. (2002). Ultrasound Prediction Model for % Intramuscular Fat in Beef Cattle. Iowa State University Digital Repository (Iowa State University). 1(1).1 indexed citations
7.
Rouse, Gene H., et al.. (2001). Centralized Ultrasound Processing to Develop Carcass EPD’s. Iowa State University Digital Repository (Iowa State University). 1(1).1 indexed citations
8.
Rouse, Gene H., et al.. (2001). The Use of Real-Time Ultrasound to Predict Live Feedlot Cattle Carcass Value. Iowa State University Digital Repository (Iowa State University). 1(1).7 indexed citations
9.
Tait, Richard G., et al.. (2001). Prediction of Lean in the Round Using Ultrasound Measurements. Iowa State University Digital Repository (Iowa State University). 1(1).3 indexed citations
10.
Rouse, Gene H., et al.. (2001). Adjustment Factors for Ultrasound Measures in Yearling Angus Bulls and Developing Heifers. Iowa State University Digital Repository (Iowa State University). 1(1).1 indexed citations
11.
Rouse, Gene H., et al.. (2000). Real-time Ultrasound Trait Age Adjustment Factors for Replacement Angus Heifers. Iowa State University Digital Repository (Iowa State University). 1(1).1 indexed citations
12.
Rouse, Gene H., et al.. (2000). Carcass EPDs for Yearling Angus Bulls Using Real-time Ultrasound Measures. Iowa State University Digital Repository (Iowa State University). 1(1).2 indexed citations
13.
Wilson, Deborah, et al.. (1999). Prediction of Carcass Traits Using Live Animal Ultrasound. Iowa State University Digital Repository (Iowa State University). 1(1).14 indexed citations
14.
Greiner, Scott Patrick, et al.. (1999). Evaluation of Condition Scoring of Feeder Calves as a Tool for Management and Nutrition. Iowa State University Digital Repository (Iowa State University). 1(1).2 indexed citations
15.
Rouse, Gene H., et al.. (1999). Chute-Side Application of Real-Time Ultrasound for Feedlot Cattle Marketing–A Pilot Project. Iowa State University Digital Repository (Iowa State University). 1(1).1 indexed citations
16.
Hassen, Abebe T., et al.. (1998). Prediction of Marbling Scores From Percentage Intramuscular Fat. Iowa State University Digital Repository (Iowa State University). 1(1).2 indexed citations
17.
Hassen, Abebe T., et al.. (1998). Prediction of Percent Retail Product, Retail Product Weight and Hot Carcass Weight From Serially Measured Live Animal Traits. Iowa State University Digital Repository (Iowa State University). 1(1).2 indexed citations
18.
Amin, Viren, et al.. (1998). Neural Network Application for Classifying Beef Intramuscular Fat Percentage. Iowa State University Digital Repository (Iowa State University). 1(1).1 indexed citations
19.
Amin, Viren, et al.. (1997). Application of Newer Signal and Image-Processing Techniques for Ultrasound Beef Quality Evaluation Research. Iowa State University Digital Repository (Iowa State University). 1(1).1 indexed citations
20.
Izquierdo, M., et al.. (1997). Models to Predict Intramuscular Fat Percentage in Live Beef Animals Using Real-time Ultrasound and Image Parameters: Report on Data From 1991-1994. Iowa State University Digital Repository (Iowa State University). 1(1).13 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.