| Application of the Conway–Maxwell–Poisson generalized linear model for analyzing motor vehicle crashes D Lord, SD Guikema, SR Geedipally Accident Analysis & Prevention 40 (3), 1123-1134, 2008 | 285 | 2008 |
| The negative binomial-Lindley generalized linear model: Characteristics and application using crash data SR Geedipally, D Lord, SS Dhavala Accident Analysis & Prevention 45, 258-265, 2012 | 183 | 2012 |
| Extension of the application of Conway‐Maxwell‐Poisson models: Analyzing traffic crash data exhibiting underdispersion D Lord, SR Geedipally, SD Guikema Risk Analysis: An International Journal 30 (8), 1268-1276, 2010 | 167 | 2010 |
| Investigating the effect of modeling single-vehicle and multi-vehicle crashes separately on confidence intervals of Poisson–gamma models SR Geedipally, D Lord Accident Analysis & Prevention 42 (4), 1273-1282, 2010 | 148 | 2010 |
| The negative binomial–Lindley distribution as a tool for analyzing crash data characterized by a large amount of zeros D Lord, SR Geedipally Accident Analysis & Prevention 43 (5), 1738-1742, 2011 | 125 | 2011 |
| Analysis of motorcycle crashes in Texas with multinomial logit model SR Geedipally, PA Turner, S Patil Transportation research record 2265 (1), 62-69, 2011 | 114 | 2011 |
| Analysis of large truck collisions with bridge piers: phase 1, report of guidelines for designing bridge piers and abutments for vehicle collisions. CE Buth, WF Williams, MS Brackin, D Lord, SR Geedipally, AY Abu-Odeh Texas Transportation Institute, 2010 | 111 | 2010 |
| Safety prediction methodology and analysis tool for freeways and interchanges JA Bonneson, S Geedipally, MP Pratt, D Lord NCHRP Web-Only Document, 2021 | 106 | 2021 |
| Analysis of crash severities using nested logit model—accounting for the underreporting of crashes S Patil, SR Geedipally, D Lord Accident Analysis & Prevention 45, 646-653, 2012 | 81 | 2012 |
| Highway safety analytics and modeling D Lord, X Qin, SR Geedipally Elsevier, 2021 | 74 | 2021 |
| The Poisson–Weibull generalized linear model for analyzing motor vehicle crash data L Cheng, SR Geedipally, D Lord Safety science 54, 38-42, 2013 | 70 | 2013 |
| Analysis of roadway departure crashes on two lane rural roads in Texas. D Lord, MA Brewer, K Fitzpatrick, SR Geedipally, Y Peng Texas Transportation Institute, 2011 | 69 | 2011 |
| Characterizing the performance of the conway‐maxwell poisson generalized linear model RA Francis, SR Geedipally, SD Guikema, SS Dhavala, D Lord, S LaRocca Risk Analysis: An International Journal 32 (1), 167-183, 2012 | 68 | 2012 |
| A semiparametric negative binomial generalized linear model for modeling over-dispersed count data with a heavy tail: Characteristics and applications to crash data M Shirazi, D Lord, SS Dhavala, SR Geedipally Accident Analysis & Prevention 91, 10-18, 2016 | 66 | 2016 |
| Developing a Random Parameters Negative Binomial-Lindley Model to analyze highly over-dispersed crash count data MRR Shaon, X Qin, M Shirazi, D Lord, SR Geedipally Analytic methods in accident research 18, 33-44, 2018 | 64 | 2018 |
| Examination of methods to estimate crash counts by collision type SR Geedipally, S Patil, D Lord Transportation Research Record 2165 (1), 12-20, 2010 | 63 | 2010 |
| Estimating the safety performance of urban intersections in Lisbon, Portugal SV Gomes, SR Geedipally, D Lord Safety science 50 (9), 1732-1739, 2012 | 62 | 2012 |
| Analysis of large truck collisions with bridge piers: phase 1 CE Buth, WF Williams, MS Brackin, D Lord, SR Geedipally, AY Abu-Odeh Report of guidelines for designing bridge piers and abutments for vehicle …, 2010 | 58 | 2010 |
| Effects of geometry and pavement friction on horizontal curve crash frequency SR Geedipally, MP Pratt, D Lord Journal of Transportation Safety & Security 11 (2), 167-188, 2019 | 55 | 2019 |
| Sample-size guidelines for recalibrating crash prediction models: Recommendations for the highway safety manual M Shirazi, D Lord, SR Geedipally Accident Analysis & Prevention 93, 160-168, 2016 | 53 | 2016 |
