1. Dixon, B. 2001. Application of Neuro-fuzzy techniques to predict ground water vulnerability in Northwest Arkansas. Ph.D. Dissertation . University of Arkansas, Fayetteville, Arkansas. http://wwwlib.umi.com/dissertations/fullcit/3037956
2 . Dixon, B and H. D. Scott. 2001. Application of fuzzy logic to predict ground water vulnerability in Northwest Arkansas. AWRC-USGS Completion Report, MSC # 240 http://www.uark.edu/depts/awrc/AllPubs.htm
3. Dixon, B. 2002. Application of Neuro-Fuzzy techniques to predict ground water vulnerability. Pages 485 – 495 . In (C. A. Brebbia, ed.) Risk Analysis III. WIT Press, Southampton, UK. http://www.wessex.ac.uk/conferences/2002/risk02/index.html
4. Dixon, B and H. D. Scott. 2002 . Determining appropriate size of the training data sets for Neuro-fuzzy models to predict ground water vulnerability in Northwest Arkansas. Presentation. Southern Branch, American Society of Soil and Water, Annual Meeting, Orlando, FL, February PPT .
5. Dixon, B., H. D. Scott and J. V. Brahana. 2002. Application of Neuro-Fuzzy techniques to predict ground water vulnerability. Presentation . Third International Conference on computer Simulation in Risk Analysis and Hazard Mitigation, Sintra, Portugal, June. PPT
6 . Dixon, B., H. D. Scott, J. V. Brahana, A. Mauromoustakos, and J. C. Dixon. 2001. Delineation of ground water vulnerability to agricultural contaminants using Neuro-fuzzy techniques. Presentation . Annual Meeting of Soil Science Society of America, Charlotte, NC, October. PPT
7. Dixon, B., H. D.Scott, J.C. Dixon and J. V. Brahana. 2003. Applicability of Neuro-fuzzy techniques in predicting ground water vulnerability: A sensitivity analysis [in review: Journal of Hydrology ] .
8. Dixon, B. 2003 . Ground water vulnerability mapping : an integrated tool. [ in review: Ground Water] .
9. Dixon, B., H. D. Scott, J. V. Brahana, and J.C. Dixon. 2003. Scale issues involved in modeling ground water vulnerability with Neuro-fuzzy techniques [In preparation: to be submitted to Ground Water ].