Ulrike Genschel

Recent Publications:

• Gansemer-Topf, A.M., Genschel, U., Nguyen, X.H., Sourwine, J., Wang, Y. (2022). The Power in Groups: Using Cluster Analysis to Critically Quantify Women’s STEM Enrollment. In A. P. M.  Kalogiannakis, & M. Ampartzaki (Eds.), Advances in Research in STEM Education. IntechOpen. doi.org/10.5772/intechopen.102881.
• Wehrman, R.F., Genschel, U. , Allbaugh, R., Charli, A., Kanthasamy, A.G., Ben-Shlomo, G. (2021). A Novel Ex Vivo Model of Equine Corneal Epithelial Wound Healing. Veterinary Ophthalmology. Vol. 24(5):509-519. doi.org/10.1111/vop.12935. Epub 2021 Sep 23. PMID: 34553825.
• Schweiger, D., Stone, R., Genschel, U. (2021). Nondominant hand computer mouse training and the bilateral transfer effect to the dominant hand. Scientific Reports, Vol. 11,  4211,  doi.org/10.1038/s41598-021-83770-4. 
• Sage, A. J., Genschel, U., Nettleton, D. (2020). A residual-based approach for robust random forest regression. Statistics and Its Interface. Vol 14(4): 389-402, doi.org/10.4310/20-SII660.
• Green, H., Litchfield, R., Genschel, U. (2020). Nutrition status of female division I college gymnasts: a descriptive study. The Sport Journal. Published November 20, 2020. https://thesportjournal.org/article/nutrition-status-of-female-division-i-college-gymnasts-a-descriptive-study/.
• Rice, K., Genschel, U.,  Hofmann, H. (2020). A Robust Approach to Automatically Locating Grooves in 3D Bullet Land Scans. Journal of Forensic Sciences. Vol. 65(3):775-783, doi.org/10.1111/1556-4029.14263.
• Sage, A., Genschel, U.,  Nettleton, D. (2020). Tree Aggregation for Random Forest Class Probability Estimation. Statistical Analysis and Data Mining. Vol. 13(2):134-150. doi.org/10.1002/sam.11446.
• Strauss, R.A., Genschel, U., Allbaugh, R.A., Sebbag, L., Ben-Shlomo, G. (2019). Evaluation of microbial contamination of canine plasma eyedropper bottles following clinical use in canine patients. Veterinary Ophthalmology. Vol. 22(3):222-228. https://doi.org/10.1111/vop.12580.
• Sage, A., Cervato, C., Genschel, U.,  Ogilvie, C.A. (2018). Combining Academics and Social Engagement: A Major-Specific Early Alert Method to Counter Student Attrition in Science, Technology, Engineering, and Mathematics. Journal of College Student Retention: Research, Theory & Practice. doi.org/10.1177/1521025118780502.
• Moss, E., Cervato, C., Genschel, U., Ihrig, L., Ogilvie, C.A. (2018). Authentic research in an introductory geology laboratory and student reflections: Impact on nature of science understanding and science self-efficacy. Journal of Geoscience Education. doi.org/10.1080/10899995.2018.1411730.
• Gansemer-Topf, A., Downey, J., Genschel, U. (2018). Understanding Undermatching: Examining Factors Related to Degree Attainment for Academically Undermatched Students. Journal of College Student Retention: Research, Theory & Practice. doi.org/10.1177/1521025117753822.
• Genschel, U. (2018). The Effect of Data Contamination in Sliced Inverse Regression and Finite Sample Breakdown Point. Sankhya Series A. Vol. 80(1):28-58. doi.org/10.1007/s13171-017-0102-x.
• Gansemer-Topf, A.M., Downey, J., Thompson, K.M., Genschel, U. (2018). Did the recession impact student success? Relationships of finances, staffing and institutional type on retention. Research in Higher Education.  Vol. 59(2):174-197.
  doi.org/10.1007/s11162-017-9462-2.
• Gansemer-Topf, A., Downey, J., Genschel, U. (2017). Definitions Matter:  Investigating and Comparing Different Operationalizations of Academic Undermatching. Practical Assessment, Research, and Evaluation. Vol. 12:28-40.